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DA-100 Analyzing Data with Microsoft Power BI

Exam Number : DA-100
Exam Name : Analyzing Data with Microsoft Power BI

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Skills Gained
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI

Specifically:
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.

Course outline
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.

Lessons
Data Analytics and Microsoft
Getting Started with Power BI
Lab : Getting Started
Getting Started
After completing this module, you will be able to:

Explore the different roles in data
Identify the tasks that are performed by a data analyst
Describe the Power BI landscape of products and services
Use the Power BI service
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons
Get data from various data sources
Optimize performance
Resolve data errors
Lab : Preparing Data in Power BI Desktop
Prepare Data

After completing this module, you will be able to:

Identify and retrieve data from different data sources
Understand the connection methods and their performance implications
Optimize query performance
Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Lessons
Data shaping
Enhance the data structure
Data Profiling
Lab : Transforming and Loading Data
Loading Data

After completing this module, students will be able to:

Apply data shape transformations
Enhance the structure of the data
Profile and examine the data
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Lessons
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships
Enforce row-level security

After completing this module, you will be able to:

Understand the basics of data modeling
Define relationships and their cardinality
Implement Dimensions and Hierarchies
Create histograms and rankings
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Lessons
Introduction to DAX
DAX context
Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures
Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
use Time Intelligence functions

After completing this module, you will be able to:

Understand DAX
Use DAX for simple formulas and expressions
Create calculated tables and measures
Build simple measures
Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

Lessons
Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations

After completing this module, you will be able to:

Understand the importance of variables
Enhance the data model
Optimize the storage model
Implement aggregations
Module 7: Create Reports
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important syllabu of designing for accessibility is also covered.

Lessons
Design a report
Enhance the report
Lab : Designing a report in Power BI
Create a live connection in Power BI Desktop
Design a report
Configure visual fields adn format properties
Lab : Enhancing Power BI reports with interaction and formatting
Create and configure Sync Slicers
Create a drillthrough page
Apply conditional formatting
Create and use Bookmarks

After completing this module, you will be able to:

Design a report page layout
Select and add effective visualizations
Add basic report functionality
Add report navigation and interactions
Improve report performance
Design for accessibility
Module 8: Create Dashboards
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

Lessons
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Lab : Designing a report in Power BI Desktop - Part 1
Create a Dashboard
Pin visuals to a Dashboard
Configure a Dashboard tile alert
Use Q&A to create a dashboard tile

After completing this module, students will be able to:

Create a Dashboard
Understand real-time Dashboards
Enhance Dashboard usability
Module 9: Create Paginated Reports in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.

Lessons
Paginated report overview
Create Paginated reports
Lab : Creating a Paginated report
Use Power BI Report Builder
Design a multi-page report layout
Define a data source
Define a dataset
Create a report parameter
Export a report to PDF

After completing this module, you will be able to:

Explain paginated reports
Create a paginated report
Create and configure a data source and dataset
Work with charts and tables
Publish a report
Module 10: Perform Advanced Analytics
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Lessons
Advanced Analytics
Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use teh visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers visual

After completing this module, you will be able to:

Explore statistical summary
Use the Analyze feature
Identify outliers in data
Conduct time-series analysis
Use the AI visuals
Use the Advanced Analytics custom visual
Module 11: Create and Manage Workspaces
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

Lessons
Creating Workspaces
Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
Map security principals to dataset roles
Share a dashboard
Publish an App

After completing this module, you will be able to:

Create and manage a workspace
Understand workspace collaboration
Monitor workspace usage and performance
Distribute an App
Module 12: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

Lessons
Parameters
Datasets

After completing this module, you will be able to:

Create and work with parameters
Manage datasets
Configure dataset refresh
Troubleshoot gateway connectivity
Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

Lessons
Security in Power BI

After completing this module, you will be able to:

Understand the aspects of Power BI security
Configure row-level security roles and group memberships

Analyzing Data with Microsoft Power BI
Microsoft Analyzing PDF Download
Killexams : Microsoft Analyzing PDF get - BingNews https://killexams.com/pass4sure/exam-detail/DA-100 Search results Killexams : Microsoft Analyzing PDF get - BingNews https://killexams.com/pass4sure/exam-detail/DA-100 https://killexams.com/exam_list/Microsoft Killexams : Best free Nutrition Analysis software for Windows 11/10

Here is a list of the best free nutrition analysis software for Windows 11/10 PC. These free software help you find out and analyze the nutrition values that a particular food item contains. These show you nutrient values like proteins, minerals, fats, carbs, amino acids, fatty acids, vitamins, etc. You can plan your meals according to your target nutrition values. Additionally, these can also be used as a diet planner as these software contain a database of foods and recipes. So, you can plan, manage, and monitor your diet with the help of these free nutrition analysis software.

So, if you are looking for free software that helps you determine nutrition values in your food servings, this article is your stop. You can check out these software and their features, and then get the one you like the most.

What is Nutrition Analysis software?

A nutrient analysis software is the one that enables you to view, track, and analyze the nutrient values of like proteins, minerals, fats, carbs, vitamins, sugar, amino acids, fatty acids, etc. It allows you to monitor the nutrient composition of your meals and recipes and analyze the nutrition reports of your dietary habits. If you have a target value for nutrition intake, nutrient analysis software like CRON-o-Meter helps you. You can find some nice ones below in this post.

Here is a list of the best free Nutrition Analysis software for Windows 11/10:

  1. CRON-o-Meter
  2. eFit Calorie Counter
  3. EasyMenu Balanced Meal Planner
  4. NutritionInfo

Let us discuss the above software in detail now!

1] CRON-o-Meter

CRON-o-Meter is a free and open source nutrition analysis software for Windows 11. This software is primarily used to monitor and track your daily calorie intakes. And also, check out your progress made by following a specific diet plan. It can be used by different users. All users can enter their specific body profiles to track and analyze their respective nutrition values. They can have their personal diet plan and food intake plans that they can monitor.

To start with, you need to enter your body details including birthdate, gender, height, weight, and activity. You then are required to set your nutritional targets i.e., the number and quantity of nutrients you need in your meals such as protein, carbs, water, caffeine, fats, energy, alcohol, sugars, starch, vitamins, mineral, amino acids, and more. You can enable these nutrients and then enter the respective minimum and maximum values and number of units as per your requirements. It also provides a Set to Dietary Reference Intakes feature. This feature basically set all the target nutrients’ values configured particularly for your body profile.

Once done entering the nutritional targets, you can perform the nutritional analysis to get to your target. You can select the current date, and from the Diet section and tap on the Add serving button. You can then add the food items you intake and also specify the amount of food in gram/oz you intake. It contains a database of popular food items with their respective nutrition values. You can search for a specific food item and then add it to your meal plan.

After you are done adding your food servings, you can have a look at the bottom part of the Diet section where there is a nutrition analysis report. It contains the report in form of both a chart and statistics. The nutrition report shows you the nutrition values of proteins, minerals, amino acids, lipids, and vitamins present in your food servings. On the basis of the report, you can easily analyze various nutrients present in your food items and then compare them with your target nutrients values.

Besides that, it also contains features like Biomarkers and Exercises. In its Biomarkers tab, you can add your weight, body temperature, systolic BP, diastolic BP, resting heart rate, and blood glucose values on different dates. You can then click on the Chart button to analyze the change in these values over a time period. Similarly, in its Exercises tab, you can add your daily exercises with the respective time and burned calories, and then analyze your progress. A dedicated Notes tab is also present in it to add your notes that you can refer to in the future.

You can save the nutrition analysis report in HTML or text format. To do that, go to the Reports menu and tap on the Nutrition Report option. It lets you select the time period to save the report. It lets you print different reports on paper or save them as a PDF file.

All in all, it is one of the best nutrition analysis software that you get for free.

Read: How to use Food Data Type in Microsoft Excel?

2] eFit Calorie Counter

eFit Calorie Counter is another free nutrition analysis software for Windows 11. It can be used for analyzing nutrition values in your food as well as it can be used as a Meal planner, Calorie Counter, Shopping Manager, and Diet Manager. You can start by adding your body details like height, weight, waist, and more, and then start performing a nutrition analysis.

Using its calorie tracking feature, you can get the nutritional information of different foods and recipes. This feature can be accessed in its Planner section. In the Planner section, you get a database of over ten thousand food items and recipes. From here, you can add your food items and the number of servings based on what it shows you nutritional details. It shows values of protein, fat, minerals, iron, magnesium, etc.

It also lets you create and add new food items and food recipes by manually entering all the nutritional values. You can also plan meals for different times and then track the nutrition values.

This software can be utilized by multiple users. They just have to create their specific profile by entering personal details and body measurements (height, weight, etc.). You can then set your goals like losing weight, gaining weight, and more, and monitor your progress.

Besides planning meals and tracking nutrition values, it also lets you generate your shopping list. A feature to generate a shopping list from websites like Amazon Grocery and more is also present in it.

If you liked it, you can get it from sourceforge.net.

See: Best free Fitness apps for Windows 11/10.

3] EasyMenu Balanced Meal Planner

Another free nutrition analysis app that you can use on Windows 11/10 is EasyMenu Balanced Meal Planner. It is a simple app that shows you nutritional information on food items and recipes based on the number of servings.

It lets you plan three-time meals a week and then track the intake nutrition values. It contains a database of multiple recipes that you can add to your meal plan. About 100 recipes are there in its database. All the recipes show you their respective nutritional information like protein, fat, cholesterol, sodium, vitamins, etc., are available. Apart from nutritional details, it also shows you information like cooking time, cooking methods, and ingredients.

Best free Nutrition Analysis software

You can add foods to breakfast, lunch, and dinner. And then, go to the Summary section to analyze the nutrition report for a whole week. It shows graphs and statistics of nutrients you intake that include Average daily nutrition, Daily calories, and Average daily FAT intake. Apart from that, you can also create and manage your shopping lists through this app.

It is a basic app to analyze nutrition values in your food. You can get and install it from microsoft.com.

Related: 10 Best Foods to Stay Active and Energetic in Office.

4] NutritionInfo

Nutrition Analysis software for Windows

NutritionInfo is a free nutrition analysis app for Windows 11/10. As its name suggests, this simple app gives you information on the nutritional values of various fruits, vegetables, etc. There are mainly four sections called vegetables, leafy vegetables, fruits, and flesh foods. You can explore different items in these categories and get information on the nutrition they contain.

For each food item, it shows values of nutrients like protein, water, ash, starch, sugar, fat, and more. You can easily analyze the nutrition values and plan your meal accordingly. It also shows the information on the background of fruits, vegetables, etc. Besides that, it shares the fun facts and dimensions of a food item. So, basically, you can know about a particular food or vegetable and its nutrition values using this app.

It is a pretty basic nutrition analysis app. You can get it here.

What is a Diet history?

A diet history is a way to analyze your food intake. It basically shows your consumption of foods over a time period. You can analyze it to check if you followed your diet plan or not.

How do you conduct a Nutrient analysis?

To conduct a nutrient analysis, laboratory analysis Is a certified method. Now, if you want to perform nutrient analysis on your computer, you can use free software. There are plenty of nutrition analysis software that let you analyze nutrients values in meals and recipes. If you want to use a free one, check out this post.

Now read: How to create a Restaurant Menu in Word?

Nutrition Analysis software for Windows
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Killexams : How to perform Regression Analysis in Windows 11/10

Here is a guide for you to perform Regression Analysis on your Windows 11/10 PC. Regression Analysis is a statistical technique use to evaluate a set of data. It is used for determining the relationship between a set of two or more variables in a dataset. It basically enables you to analyze the important and unimportant factors from a dataset and then make a decision accordingly. Now, if you want to perform a regression analysis without performing manual calculations, this post will help you.

In this article, we are going to discuss different ways to do regression analysis on Windows 11/10 PC. You don’t need to do anything manually. Just import your dataset, select input variables, and visualize the results. Using the mentioned methods, you can perform linear, non-linear, multiple, and more regression analyses. Let us check out the methods in detail now!

How do you perform a Regression Analysis?

Regression analysis can be performed using Excel in Windows 11/10. You can also use a third-party free software that lets you calculate regression analysis. Additionally, you can even perform regression analysis online with the help of a dedicated free website. We have discussed all these methods in detail below. So, let us checkout!

How do I do Regression Analysis in Excel?

You can easily perform a regression analysis in Excel and other editions by enabling an add-in. This add-on is called Data Analysis ToolPak which is preinstalled in Microsoft Excel. Just follow the simple steps to enable this add-in in Excel and then you will be able to perform several data analyses. We have discussed step by step procedure to do regression analysis in Microsoft Excel. You can check it out below.

Related read: What is Data Analytics and what is it used for?

Here are the methods that you can use to perform a Regression Analysis on your datasets in Windows 11/10:

  1. Perform a regression analysis in Microsoft Excel.
  2. Use JASP or Statcato freeware to perform regression analysis.
  3. Perform regression analysis online using a free web service.

Let us discuss the above methods in detail!

1] Perform a Regression Analysis in Microsoft Excel

You can perform a regression analysis using the Microsoft Excel application. A dedicated Data Analysis ToolPak add-on in Excel lets you perform regression analysis and some other data analysis. You will have to manually enable this add-in to use its functionalities. Let us have a look at the procedure to use Excel’s Data Analysis ToolPak add-in for regression analysis.

How to perform a Regression Analysis in Microsoft Excel:

Here are the main steps to do regression analysis in Microsoft Excel:

  1. Launch the Microsoft Excel app.
  2. Go to the File > Options > Add-ins tab.
  3. Click on the Go button.
  4. Enable the Data Analysis ToolPak add-in and go back to Excel’s home screen.
  5. Import your datasets and select input data with dependent and independent variables.
  6. Move to the Data tab.
  7. Press the Data Analysis button.
  8. Select Regression and hit the OK button.
  9. Enter input X and Y range and other output options.
  10. Tap on the OK button to view regression analysis results.

Let us discuss the above steps in detail now.

Firstly, launch the Microsoft Excel app and then enable the Data Analysis ToolPak add-in. For that, click on File > Options and go to the Add-ins tab. Here, click on the Go button present beside the Manage Excel Add-ins option. Then, select the Data Analysis ToolPak add-in checkbox and press the OK button to enable it.

Now, import your datasets from an Excel or any other supported file, or you can create a new dataset. Select the input data fields for which you want to perform regression analysis.

Next, go to the Data tab and then click on the Data Analysis button.

After that, select the Regression option from the available Data Analysis tools and click on the OK button.

Then, you need to enter the input X (independent variable) and Y (dependent variable) range for which you want to do regression analysis. Apart from that, you can also select residuals options like standardized residuals, line fit plots, residual plots, etc. Also, some other options like normal probability, confidence level, label, etc.

See: How to view and track Excel workbook statistics.

How to perform Regression Analysis in Windows

Configure all the above options and press the OK button to visualize the results.

It shows regression statistics including coefficient, standard error, t Stat, P-value, significance F, multiple R, standard error, observations, degrees of freedom, sum of squares, mean squares, F value, and more.

You can save the results in the same Excel worksheet or print the results.

Similarly, you can also perform analysis including ANOVA tests, covariance, descriptive statistics, exponential smoothing, Fourier analysis, histogram, moving average, sampling, t-test, etc.

Read: How to use the DATEVALUE function in Microsoft Excel

2] Use JASP freeware to perform Regression Analysis

You can use third-party freeware to perform regression analysis on a set of data. There are several free software that let you do data analysis. Here, we are going to use free software called JASP and Statcato. Using these two free software, you can perform regression analysis and many other data analyses:

  1. JASP
  2. Statcato

1] JASP

JASP is a dedicated free statistical analysis software for Windows 11/10. Using it, you can perform regression analysis, descriptives tests, T-tests, ANOVA, frequency tests, principal component analysis, exploratory factor analysis, meta analysis, summary statistics, SEM, visual modeling, and confirmatory factor analysis. It offers a dedicated Regression where you can perform linear, correlation, and logistic regression analysis. Let us find out how.

Here are the main steps to do regression analysis in JASP:

  1. Download and install JASP.
  2. Launch the software.
  3. Import your dataset.
  4. Go to the Regression tab.
  5. Choose Classical or Bayesian regression type.
  6. Select dependent and independent variables and customize other parameters.
  7. View and export the results.

Let us now elaborate on the above steps!

Firstly, you need to get and install JASP freeware on your PC. And then, launch the main GUI of this software.

Now, go to the three-bar menu and click on the Open option to import datasets from locally saved Excel, CSV, TSV, ODS, TXT, etc. You can also import your input data from your OSF (Open Science Framework) account. Apart from that, it comes with several sample datasets that you can utilize in your study and analyses.

Next, move to the Regression tab and select the type of regression analysis you want to perform like Logistic, Linear, or Correlation.

After that, select dependent and independent variables and then configure multiple other options like method, WLS weight, model, method specification or criteria, and more. You can also select the values that you want to compute in the regression analysis, such as Residuals, R squared change, Covariance matrix, Collinearility diagnostics, Part and partial correlations, Model fit, and more. Also, you can plot various graphs with calculated regression analysis statistics including Residuals v/s dependent, Residuals v/s covariates, Residuals v/s histogram, and some other graphs.

As you configure all the above-discussed parameters, it displays regression analysis in the right-side section. You can export the results of regression analysis to an HTML or PDF document.

It is one of the best free software to perform regression analysis and more. You can get this handy freeware from jasp-stats.org.

See: What is Data Mining? Basics and its Techniques?

2] Statcato

Another freeware that you can try to perform regression analysis is Statcato. It is a free and open-source software to perform statistical analyses. It allows you to perform regression analysis as well as several other types of data analyses. Some of the data analysis methods provided in it include Hypothesis Tests, ANOVA, Descriptive Statistics, Normality Tests, sample Size, Non-parametric Tests, and more.

It lets you perform Linear Regression, Multiple Regression, Correlation Matrix, Non-Linear Regression, etc. Let us check out how to use this software.

These are the main steps to perform a regression analysis in Statcato:

  1. Download this software.
  2. Launch the Jar file.
  3. Import or create an input dataset.
  4. Go to the Statistics menu.
  5. Click on the Correlation and Regression option.
  6. Select the desired regression type.
  7. Choose dependent and independent variables.
  8. View and save regression analysis.

Let us discuss the above steps in detail now!

Firstly, you need to get this free software from statcato.org. Then, unzip the downloaded zip folder and then run the executable Jar file. You need to have Java installed on your system to use this application.

Now, open a file containing the input dataset or you can also create a new set of data in its spreadsheet-like interface.

Next, go to the Statistics menu and click on the Correlation and Regression option and then select the type of regression analysis you want to perform.

After that, choose the independent and dependent variable for which you want to do regression analysis and set up other options. Then, press the OK button.

It will display the regression analysis results in a dedicated window.

The regression analysis mainly includes statistics like regression equation, Explained variation, Unexplained variation, Coefficient of determination, Standard error of estimate, Test statistics, p-value, and more.

You can copy the results or take a printout.

It is another good statistical analysis software that lets you calculate various statistics, perform data analysis, and plot different kinds of graphs.

Read: x

3] Perform Regression Analysis online using a free web service

You can also perform regression analysis online using a dedicated free web service. Here, we are going to use this web service called socscistatistics.com. It lets you perform Linear and Multiple regression analyses online. Apart from that, you can also find other statistical tools on this website like ANOVA tests, Chi-Square Calculator, Sign Test Calculator, Standard Error Calculator, T-tests, and more.

How to perform regression analysis online:

Here are the main steps to perform regression analysis online using socscistatistics.com:

  1. Open a web browser.
  2. Navigate to the socscistatistics.com website.
  3. Go to the regression calculator page.
  4. Enter values for dependent and independent variables.
  5. Tap on the Calculate the Regression Equation option.

Firstly, launch a web browser and open socscistatistics.com. Now, you need to navigate to the Multiple Regression Calculator or Linear Regression Calculator page, whichever regression analysis technique you want to use.

Next, enter the respective input values in the X (independent) and Y (dependent) columns. You can also enter estimate values.

After that, click on the Calculate the Regression Equation option.

It will then display the regression analysis results in the same window.

The regression analysis results include a graph, regression equation, sum of squares, the sum of products, mean values, and more.

That’s it! Hope this guide helps you find a suitable method to perform a regression analysis for your datasets on Windows 11/10.

Now read:

How to perform Regression Analysis in Windows
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Killexams : Optimization for Data Analysis

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.

Wed, 01 Jun 2022 03:44:00 -0500 en text/html https://www.cambridge.org/core/books/optimization-for-data-analysis/C02C3708905D236AA354D1CE1739A6A2
Killexams : The Microsoft Excel world championships is as brilliantly entertaining as it sounds No result found, try new keyword!Over the weekend, ESPN broadcast a replay of a latest esports event that saw the world’s most advanced Microsoft Excel users go head-to-head in a knockout tournament.Organized by the people behind the ... Mon, 08 Aug 2022 09:01:39 -0500 en-us text/html https://www.msn.com/en-us/news/technology/the-microsoft-excel-world-championships-is-as-brilliantly-entertaining-as-it-sounds/ar-AA10seAJ Killexams : Retail Banking IT Spending Market to record USD 15.69 Bn growth -- Driven by the growing need for greater customer satisfaction

NEW YORK, Aug. 8, 2022 /PRNewswire/ -- The "Retail Banking IT Spending Market by Type and Geography - Forecast and Analysis 2022-2026" report by Technavio expects the market size to grow by USD 15.69 billion between 2021 and 2026, expanding at a CAGR of 5.15% during the forecast period. The report identifies North America as the key region. The rapid growth of the banking sector is creating significant opportunities for vendors operating in the region. The report provides a comprehensive analysis of latest developments, new product launches, major revenue-generating segments, and market behavior across geographies. Download sample PDF Report Here

Technavio has announced its latest market research report titled Retail Banking IT Spending Market by Type and Geography - Forecast and Analysis 2022-2026

The global retail banking IT spending market is fragmented, with the presence of a significant number of vendors. Key vendors hold significant shares in the market. Established vendors have strong financial abilities and technical expertise in offering innovative and quality products. They also invest a significant share of their capital in R&D and adopt organic growth strategies, such as product launches, to bring considerable differentiation in their solutions and gain high customer penetration. Small-scale vendors compete with established vendors by using low-price strategies and strengthening their local customer base. As more banks are embracing digital transformation in retail banking, this is expected to create further growth opportunities for the vendors during the forecast period.

Technavio identifies Accenture Plc, Atos SE, Capgemini SE, CGI Inc., Cisco Systems Inc., Cognizant Technology Solutions Corp., Dell Technologies Inc., Fidelity National Information Services Inc., Fujitsu Ltd., Genpact Ltd., HCL Technologies Ltd., Hitachi Ltd., HP Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Microsoft Corp., NetApp Inc., Oracle Corp., SAP SE, Wipro Ltd., and WNS Holdings Ltd. as some of the major market participants.

Although the growing need for greater customer satisfaction, increased efficiency in banking operations, and rise in autonomous banking will offer immense growth opportunities, issues related to data privacy and security, interoperability issues, and the lack of sufficient skilled labor will challenge the growth of the market participants. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments. View sample Report Here

The retail banking IT spending Market is segmented as below:

The IT services segment held the largest share of the market in 2021. The segment includes application development and maintenance, system integration, IT consulting, software deployment and support, and hardware deployment and support. The adoption of advanced technologies such as big data analytics, AI, and cloud-based computing to reduce costs and increase operational efficiencies is driving the growth of the segment.

37% of the market growth will originate from North America during the forecast period. The increase in mobile banking transactions and the deployment of AI and machine learning (ML) technologies by BFSI firms are driving the growth of the regional market. Technavio presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources. Our retail banking IT spending market report covers the following areas:

Retail Banking IT Spending Market 2022-2026: Vendor Analysis

We provide a detailed analysis of around 25 vendors operating in the retail banking IT spending market. Backed with competitive intelligence and benchmarking, our research report on the retail banking IT spending market is designed to provide entry support, customer profile, and M&As as well as go-to-market strategy support.

Retail Banking IT Spending Market 2022-2026: Key Highlights

  • CAGR of the market during the forecast period 2022-2026

  • Detailed information on factors that will assist retail banking IT spending market growth during the next five years

  • Estimation of the retail banking IT spending market size and its contribution to the parent market

  • Predictions on upcoming trends and changes in consumer behavior

  • The growth of the retail banking IT spending market

  • Analysis of the market's competitive landscape and detailed information on vendors

  • Comprehensive details of factors that will challenge the growth of retail banking IT spending market vendors

Related Reports:

Retail Banking IT Spending Market Scope

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 5.15%

Market growth 2022-2026

USD 15.69 billion

Market structure

Fragmented

YoY growth (%)

4.27

Regional analysis

North America, Europe, APAC, Middle East and Africa, and South America

Performing market contribution

North America at 37%

Key consumer countries

US, Canada, China, Germany, and UK

Competitive landscape

Leading companies, competitive strategies, consumer engagement scope

Companies profiled

Accenture Plc, Atos SE, Capgemini SE, CGI Inc., Cisco Systems Inc., Cognizant Technology Solutions Corp., Dell Technologies Inc., Fidelity National Information Services Inc., Fujitsu Ltd., Genpact Ltd., HCL Technologies Ltd., Hitachi Ltd., HP Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Microsoft Corp., NetApp Inc., Oracle Corp., SAP SE, Wipro Ltd., and WNS Holdings Ltd.

Market Dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and future consumer dynamics, market condition analysis for the forecast period.

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Table of Contents:

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by Type

6 Customer Landscape

7 Geographic Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

Technavio (PRNewsfoto/Technavio)

Cision

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SOURCE Technavio

Mon, 08 Aug 2022 02:20:00 -0500 en-US text/html https://finance.yahoo.com/news/retail-banking-spending-market-record-142000203.html
Killexams : Data Warehousing Market: Global Demand Analysis & Opportunity Outlook 2031

The MarketWatch News Department was not involved in the creation of this content.

Jul 31, 2022 (AmericaNewsHour) -- Research Nester published a report titled "Data Warehousing Market: Global Demand Analysis & Opportunity Outlook 2031which delivers detailed overview of theglobaldata warehousing market in terms of market segmentation by data type, deployment model, offering, end user, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global data warehousing market is estimated to occupy a large amount of revenue by growing at a CAGR of ~10% during the forecast period, i.e., 2022 - 2031, owing to the rising demand for next generation business intelligence, and growing need for dedicated storage systems as a result of upsurge in data volumes globally. Along with this, escalating use of mining for business intelligence and data analytics, and increasing proliferation of cloud technology among enterprises around the world are also expected to accelerate the growth of the market in the forthcoming years.

Download sample PDF of this Report @ https://www.researchnester.com/sample-request-3818

The market is segmented by data type, deployment model, offering and end user. Based on deployment model, the cloud segment is anticipated to witness significant growth during the forecast period on the back of unlimited storage, multiple data type support, and flexible pricing models offered by cloud-based data warehousing. Additionally, by end user, the BFSI segment is projected to grab the largest share over the forecast period attributing to the increasing use of big data analytics and data mining in this sector, and growing emphasis of banking companies to cut down on financial losses caused by cyberattacks.

Geographically, the global data warehousing market is segmented into five major regions, namely North America, Europe, Latin America, Asia Pacific, and the Middle East & Africa. North America is evaluated to grab the largest share in the market during the forecast period attributing to the presence of advanced infrastructure for data warehousing, and strong footprint of major market players in the region. Moreover, the market in Asia Pacific is assessed to witness noteworthy growth in the future owing to the growing establishment of data centers that provide big data solutions, and increasing spending on cloud technologies in the region.

The research is global in nature and covers detailed analysis on the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa). In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players' competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.

Increasing Demand for Next Generation Business Intelligence Across the Globe to Drive Market Growth

Since the last few years, companies all around the world are raising the need for reducing costs, increasing revenue and downsize IT headcount. This is giving rise to the demand for next generation business intelligence as it is capable of effectively identifying sales trends, and provide personalized service more easily, which in turn is projected to accelerate the market growth in the near future.

However, high cost of deploying data warehousing is expected to operate as key restraint to the growth of the global data warehousing market over the forecast period.

Download sample PDF of this Report @ https://www.researchnester.com/sample-request-3818

This report also provides the existing competitive scenario of some of the key players of the global data warehousing market which includes company profiling of AtScale, Inc., Cloudera, Inc., IBM Corporation, Microsoft Corporation, MarkLogic Corporation, Netavis Software Gmbh, Oracle Corporation, Panoply Ltd., Pivotal Software, Inc., SAP SE, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and latest news and developments. On the whole, the report depicts detailed overview of the global data warehousing market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.     

About Research Nester:

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

U.K. Phone: +44 203 608 5919

The post Data Warehousing Market: Global Demand Analysis & Opportunity Outlook 2031 appeared first on America News Hour.

COMTEX_411307196/2606/2022-07-31T14:28:52

Is there a problem with this press release? Contact the source provider Comtex at editorial@comtex.com. You can also contact MarketWatch Customer Service via our Customer Center.

The MarketWatch News Department was not involved in the creation of this content.

Sun, 31 Jul 2022 06:28:00 -0500 en-US text/html https://www.marketwatch.com/press-release/data-warehousing-market-global-demand-analysis-opportunity-outlook-2031-2022-07-31
Killexams : Deep Instinct’s Prevention for Applications detects malicious files in transit

Cybersecurity vendor Deep Instinct has announced the launch of Deep Instinct Prevention for Applications, a new antimalware software product that detects and stops malicious files in transit.

Prevention for Applications is deployed via a container within a customer’s environment and does not require cloud access, with device and system agnostic flexibility that allows it to be implemented to protect any application. It advances threat protection beyond the endpoint with in-transit file scanning via API.

Karen Crowley, Director of Product Solutions at Deep Instinct, tells CSO that PDF and Office files remain a large attack target as they are so widely used. “PDF documents can contain text, images, and codes that can be weaponized with hidden scripts that won’t be detected and endanger the organization,” she says. “These files could open a backdoor and allow cybercriminals to access devices and then pivot to other areas of the network.”

Prevention for Applications is capable of scanning millions of files in under 20 milliseconds, according to Crowley. “The “brain” is deployed as a docker container and can be implemented to scan the files associated with a web application or web gateway. A malicious versus benign verdict is returned and the customer has the flexibility to decide how they want to respond to a malicious file, such as quarantining, deleting, or sandboxing,” she says.

Deep Instinct can also send files to its reputation service for analysis to classify the type of threat to Boost investigation and response, Crowley adds. “We do not require cloud connectivity to make a decision, the prevention efficacy is just as effective offline as it is online.”

Traditional solutions must see the behavior of the file after it executes to stop it, but by then the damage is most likely already done, Crowley says. “Attackers are getting smarter at evading sandbox and AV solutions and files pass through undetected and land inside the customer’s environment.” With Deep Instinct Prevention for Applications, only the file hash leaves the environment, retaining full customer data privacy, whilst no customer data is used for training or updating AI models, the firm states.

Copyright © 2022 IDG Communications, Inc.

Thu, 04 Aug 2022 01:46:00 -0500 en text/html https://www.csoonline.com/article/3669310/deep-instinct-s-prevention-for-applications-detects-malicious-files-in-transit.html
Killexams : Access Control as a Service Market Shaping from Growth to Value | Microsoft, Honeywell Security, Cisco Systems

The latest study released on the Global Access Control as a Service Market by AMA Research evaluates market size, trend, and forecast to 2027. The Access Control as a Service market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Download sample Report PDF (Including Full TOC, Table & Figures) @ https://www.advancemarketanalytics.com/sample-report/11925-global-access-control-as-a-service-market#utm_source=DigitalJournalShraddha

Key Players in This Report Include:

Brivo Inc. (United States), Cloudastructure Inc. (United States), Tyco Security Products (United States), ASSA Abloy AB (Sweden), Dorma+Kaba Holding AG (Switzerland), Microsoft Corporation (United States), Cisco Systems, Inc. (United States), Gemalto NV (Netherlands), Honeywell Security (United States), Vanderbilt Industries (Ireland), Identiv (United States)

Definition:

The access control system averts unauthorized entry and enables company management to put limitations on what places personnel access to depending on their role within a company has. Access control system widely implemented in many warehouse complexes, parking lots, garages, hotels, educational institutions or business centers, and many more. Turnstiles, swipe cards, video intercoms, and alarm systems are the constituent part of the access control system. As digital technology changes, AcaaS takes security to a new level.

Market Trends:

Growing Adoption of IoT and Increased Use of Cloud Computing Platforms

Market Drivers:

Rising Demand for ACaaS from End-Use Industries

Increased Security Risks in IT Industry by BYOD Policies

Market Opportunities:

Potential Growth Offered by Untapped Market

The Global Access Control as a Service Market segments and Market Data Break Down are illuminated below:

by Type (Public Cloud, Private Cloud, Hybrid Cloud), Deployment Mode (Public Cloud, Private Cloud, Hybrid Cloud), Services (Hosted, Managed), Enterprise Size (SMEs, Large Enterprises), End User (BFSI, Government, Education, Healthcare, Retail, Transportation, Others)

Global Access Control as a Service market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

Have a query? Market an enquiry before purchase @ https://www.advancemarketanalytics.com/enquiry-before-buy/11925-global-access-control-as-a-service-market#utm_source=DigitalJournalShraddha

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)

North America (United States, Mexico & Canada)

South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)

Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)

Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report

-To carefully analyze and forecast the size of the Access Control as a Service market by value and volume.

-To estimate the market shares of major segments of the Access Control as a Service

-To showcase the development of the Access Control as a Service market in different parts of the world.

-To analyze and study micro-markets in terms of their contributions to the Access Control as a Service market, their prospects, and individual growth trends.

-To offer precise and useful details about factors affecting the growth of the Access Control as a Service

-To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Access Control as a Service market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Buy Complete Assessment of Access Control as a Service market Now @ https://www.advancemarketanalytics.com/buy-now?format=1&report=11925#utm_source=DigitalJournalShraddha

Major highlights from Table of Contents:

Access Control as a Service Market Study Coverage:

It includes major manufacturers, emerging player’s growth story, and major business segments of Access Control as a Service market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.

Access Control as a Service Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.

Access Control as a Service Market Production by Region Access Control as a Service Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in Access Control as a Service Market Report:

Access Control as a Service Overview, Definition and Classification Market drivers and barriers

Access Control as a Service Market Competition by Manufacturers

Impact Analysis of COVID-19 on Access Control as a Service Market

Access Control as a Service Capacity, Production, Revenue (Value) by Region (2021-2027)

Access Control as a Service Supply (Production), Consumption, Export, Import by Region (2021-2027)

Access Control as a Service Manufacturers Profiles/Analysis Access Control as a Service  Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing

Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Browse Complete Summary and Table of Content @ https://www.advancemarketanalytics.com/reports/11925-global-access-control-as-a-service-market#utm_source=DigitalJournalShraddha

Key questions answered

How feasible is Access Control as a Service market for long-term investment?

What are influencing factors driving the demand for Access Control as a Service near future?

What is the impact analysis of various factors in the Global Access Control as a Service market growth?

What are the latest trends in the regional market and how successful they are?

Thanks for practicing this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

Contact US:

Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
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[email protected]

Fri, 08 Jul 2022 18:24:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/access-control-as-a-service-market-shaping-from-growth-to-value-microsoft-honeywell-security-cisco-systems
Killexams : Knotweed Euro cyber mercenaries attacking private sector, says Microsoft No result found, try new keyword!Dubbed Knotweed by Microsoft's Threat Intelligence Center and Security Response Center, the private sector targeting crew has made use of multiple Windows and Adobe zero-day exploits in attacks ... Wed, 27 Jul 2022 04:49:20 -0500 en-us text/html https://www.msn.com/en-us/money/other/knotweed-euro-cyber-mercenaries-attacking-private-sector-says-microsoft/ar-AA102c3A Killexams : Bimodal Identity Management Solutions Market: Global Demand Analysis & Opportunity Outlook 2031

The MarketWatch News Department was not involved in the creation of this content.

Jul 31, 2022 (AmericaNewsHour) -- Research Nester published a report titled "Bimodal Identity Management Solutions Market: Global Demand Analysis & Opportunity Outlook 2031" which delivers detailed overview of theglobalbimodal identity management solutions market in terms of market segmentation by deployment, enterprise size, end use vertical, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.

The global bimodal identity management solutions market is estimated to occupy a large amount of revenue by growing at a notable CAGR during the forecast period, i.e., 2022 - 2031, ascribing to the rising development of advanced identity management systems integrated with AI. Along with this, escalating technological advancements in the global IT sector, and high requirement for proper authenticity check and raising security concerns in companies are also expected to accelerate the growth of the market in the upcoming years.

Download sample PDF of this Report @ https://www.researchnester.com/sample-request-3828

The market is segmented by deployment, enterprise size and end use vertical. Based on enterprise size, the large enterprises segment is anticipated to acquire the largest share during the forecast period on the back of increasing incidences of data breaches through stolen or weak privileged credentials in these enterprises. Additionally, by end use vertical, the healthcare segment is projected to observe robust growth over the forecast period attributing to the higher number of cyberattacks by employees in this sector.

Geographically, the global bimodal identity management solutions market is segmented into five major regions, namely North America, Europe, Latin America, Asia Pacific, and the Middle East & Africa. North America is evaluated to grab the largest share in the market during the forecast period attributing to the growing adoption of identity management solutions as a result of digitalization in the region. Moreover, the market in Asia Pacific is assessed to witness noteworthy growth in the future owing to the growing government initiatives associated with authenticated access control in workplaces in the region.

The research is global in nature and covers detailed analysis on the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa). In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players' competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.

Rising Development of Sophisticated Identity Management Systems with Artificial Intelligence to Drive Market Growth

Since the last decade, the total number of cyberattacks and data breaches have witnessed a significant surge. This is raising the need for proper authenticity check at organizations to keep confidential data safe and secure, which in turn is anticipated to raise the demand for effective solutions to prevent damage from cyberthreats. It is predicted to drive market growth significantly in the near future.

However, high deployment cost of these systems is expected to operate as key restraint to the growth of the global bimodal identity management solutions market over the forecast period.

Download sample PDF of this Report @ https://www.researchnester.com/sample-request-3828

This report also provides the existing competitive scenario of some of the key players of the global bimodal identity management solutions market which includes company profiling of Sophos Ltd, SOTI Inc, VMware, Inc., Microsoft Corporation, Fischer International, OneLogin, Inc., Okta, Inc., NetIQ Corporation, Symantec Corporation, Oracle Corporation, and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and latest news and developments. On the whole, the report depicts detailed overview of the global bimodal identity management solutions market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.     

About Research Nester:

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision in order to avoid future uncertainties.

Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

U.K. Phone: +44 203 608 5919

The post Bimodal Identity Management Solutions Market: Global Demand Analysis & Opportunity Outlook 2031 appeared first on America News Hour.

COMTEX_411307353/2606/2022-07-31T14:32:02

Is there a problem with this press release? Contact the source provider Comtex at editorial@comtex.com. You can also contact MarketWatch Customer Service via our Customer Center.

The MarketWatch News Department was not involved in the creation of this content.

Sun, 31 Jul 2022 06:32:00 -0500 en-US text/html https://www.marketwatch.com/press-release/bimodal-identity-management-solutions-market-global-demand-analysis-opportunity-outlook-2031-2022-07-31
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