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SAP Certified Application Associate - Business Intelligence with SAP BW 7.4
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Killexams : SAP Intelligence download - BingNews https://killexams.com/pass4sure/exam-detail/C_TBI30_74 Search results Killexams : SAP Intelligence download - BingNews https://killexams.com/pass4sure/exam-detail/C_TBI30_74 https://killexams.com/exam_list/SAP Killexams : 9 business intelligence certifications to advance your BI career

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions.

BI encompasses numerous roles. BI analysts, with an average salary of $71,493 according to PayScale, provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI developers, with an average salary of $83,091, work with databases and software to develop and fine-tune IT solutions. BI architects, with an average salary of $113,263, analyze and implement BI for their organizations, with responsibilities that range from determining platforms to building and maintaining data warehouses. BI directors, with an average salary of $127,169 per year, lead design and development activities related to the enterprise data warehouse.

In its quarterly IT Skills and Certifications Pay Index report released in May, research firm Foote Partners notes that the average pay premium for tech certifications was down 1.2% in the first quarter of 2022 following two consecutive periods of growth. Data and database certifications were among the only ones to buck the general trend: They were up 4.6% annually.

Certifications are not required to work in BI, but they may help you get an edge by proving to employers that you have the right skillset. Below is our guide to some of the most sought-after BI certifications.

  • Certified Business Intelligence Professional
  • IBM Data Analyst Professional Certificate
  • Microsoft Certified: Power BI Data Analyst Associate
  • QlikView Business Analyst
  • SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3
  • SAS Certified Specialist: Visual Business Analytics
  • Tableau Certified Data Analyst
  • Tableau Desktop Specialist
  • Tableau Server Certified Associate

Certified Business Intelligence Professional (CBIP)

The CBIP certification program is intended for senior-level personnel in the information systems and technology industry with a focus on data management and business analytics. The cert demonstrates that you are up-to-date with BI technologies and are knowledgeable about best practices, solutions, and emerging trends. The certification has four specialty areas to choose from: leadership and management, business analytics, data analysis and design, and data integration. The certification requires passing two mandatory exams — your choice of the IS Core or Business Core exam and the Data Foundations exam — plus at least one specialty exam. The exams are multiple-choice. Each applicant is given 90 minutes to complete each 110-question exam. The initial certification is valid for four years and must be renewed every three years thereafter. Recertification requires proof of 120 credit hours of continuing education earned since the last renewal and an annual fee of $125 every year after the first.

Organization: Transforming Data With Intelligence (TDWI)

Exam fee: $325 per exam for TDWI members and $350 per exam for non0-TDWI members

IBM Data Analyst Professional Certificate

The IBM Data Analyst Professional Certificate is a beginner-level credential that demonstrates proficiency in creating charts and plots in Excel and working with IBM Cognos Analytics to build dashboards for visualizing data. The certificate does not require prior programming or statistical skills.  Candidates work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics. The certificate requires nine online courses completed on your own schedule, culminating with a capstone project designed to showcase data analyst skills.

Organization: IBM

Fee: A subscription of $39 per month

Microsoft Certified: Power BI Data Analyst Associate

The Microsoft Certified Power BI Data Analyst Associate certification validates candidates have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. They are subject matter experts that can design and build scalable data models, clean and transform data, and provide business value via data visualizations. The certification is intended for data professionals and business intelligence (BI) professionals who use Power BI to develop reports and dashboards that visualize data, whether in the cloud or on premises. The certification requires passing the Microsoft Power BI Data Analyst exam. The exam measures the candidate’s ability to prepare data, visualize data, analyze data, and deploy and maintain assets.

Organization: Microsoft

Exam fee: $165

QlikView Business Analyst

The QlikView Business Analyst certification demonstrates your knowledge of interface design of QlikView applications and is recommended for roles involved in the analysis, design, and layout of the QlikView application user interface. Candidates must have a basic knowledge of BI, reporting, and data analysis, as well as experience working with QlikView to design applications. The certification requires passing a multiple-choice exam delivered by Pearson VUE via a Pearson VUE Test Center or in your home/office using online proctoring. The certification does not expire, though Qlik releases new exams for every major release, so old certifications do “age out.”

Organization: Qlik

Exam fee: $250

SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3

The SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform certification demonstrates you have the skills and knowledge to design for, deploy, and run SAP’s BI platform. This certification shows you can configure and manage servers in an SAP Business Intelligence platform deployment, and design and deploy an SAP Business Intelligence platform system. SAP recommends candidates combine hands-on experience and education courses to prepare for the required multiple-choice exam delivered by Pearson VUE.

Organization: SAP

Exam fee: $536 for six attempts or $214 for a single attempt

SAS Certified Specialist: Visual Business Analytics Specialist

The SAS Certified Specialist: Visual Business Analytics certification is intended for analysts who use Visual Analytics to analyze data and design reports. It validates your skill in using SAS Visual Analytics to add and manipulate data items, analyze data, and design and share reports. It requires a passing score on the SAS Visual Analytics Using SAS Viya exam administered by SAS and Pearson VUE. The exam consists of 50-55 multiple-choice and short-answer questions. The certification expires after five years.

Organization: SAS

Exam fee: $180

Tableau Certified Data Analyst

The Tableau Certified Data Analyst certification is for individuals with six or more months of experience who wish to demonstrate their ability to enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights. There are no required prerequisites for the exam. The exam consists of 30 multiple-choice questions and one hands-on lab with 10-11 tasks. The certification is valid for two years.

Organization: Tableau

Exam fee: $250; $25 reschedule fee

Tableau Desktop Specialist

The Tableau Desktop Specialist certification is for individuals with three or more months of Tableau experience who wish to demonstrate their understanding of advanced functionality of Tableau and application of visual best practices. There are no required prerequisites for the exam.  The exam consists of 45 multiple-choice questions. The certification does not expire.

Organization: Tableau

Exam fee: $100; $25 reschedule fee

Tableau Server Certified Associate

The Tableau Server Certified Associate certification is for individuals with six or more months of experience with Tableau Server who wish to demonstrate their architectural knowledge and platform integration expertise. There are no required prerequisites for the exam. The exam consists of 55 multiple-choice questions. The certification is valid for two years.

Organization: Tableau

Exam fee: $250; $25 reschedule fee

Thu, 13 Oct 2022 10:33:00 -0500 en-US text/html https://www.cio.com/article/219932/11-business-intelligence-certifications-to-advance-your-bi-career.html
Killexams : 4 Tech Giant Executives Resolve Four Major AI/ML Adoption Obstacles in the Enterprise

AI executives from Google Cloud, Microsoft, Oracle, and SAP sat down to debunk recurrent challenges when businesses attempt to integrate AI/ML

NEW YORK, Oct. 10, 2022 /PRNewswire/ -- Artificial Intelligence (AI) no longer only appears in scientific textbooks but is now an evolving reality. Businesses are starting to realize how important this cutting-edge technology is as 56% of enterprises reported that there would be an AI deployment in at least one function, according to a 2021 McKinsey survey.

Yet, AI adoption is not straightforward. What are some major obstacles keeping firms from utilizing the enormous potential of this new technology?

Four AI executives from large tech corporations sat down to dissect the 4 major challenges to AI/ML adoption and offered solutions in a panel discussion during Worldwide AI Webinar 2022.

  • Lack of AI literacy
    Andreas Welsch, VP of AI at SAP pointed out that the lack of organizational AI literacy was the first challenge. Oftentimes, even top-level executives mistake AI projects for IT or data project that has a clear start and end date. Rather, AI adoption is a continuous journey that involves research, tests, and trials.

    "I see that when you build AI models and solutions from scratch with the teams, a lot of times, they don't know what they don't know. [...]. And then also there is this spectrum between that excitement of what you read in the press and the fear of uncertainty within the organization." - Andreas Welsch, SAP's VP of AI

    Nestor Camilo, Cloud Adoption Director at Oracle agreed with Andreas' viewpoint, adding that the journey from planning to implementation is complex and demanding, thus requiring thorough comprehension from the deployment team.

    "Creating models is very easy, anybody with some Python skills and a few hours of training can copy some code and run in their machine,[...], but later when this needs to be put on production, a lot of things need to be solved, getting data from production systems, moving it securely, retrain model and of course scale, maintain a secure and high available platform, that it a lot of effort." - Nestor Camilo, Director Cloud Adoption Public Sector of Oracle

    To tackle this problem, Aamar Hussain, Director of Azure Data at Microsoft, suggested not treating AI adoption as any software development project and understanding the current maturity level of the business. Assessing your organization's skillsets, budget, AI awareness, and data availability is highly recommended to ensure successful adoption.

    "The nontechnological emphasis and focus are really important. Don't jump into it straight away and think that you can just switch it on and off." - Aamar Hussain, Director of Azure Data of Microsoft

  • Lack of strategic approach to AI adoption
    This second challenge was specified by Aamar. He emphasized the need for a data-centric approach and a suitable framework, methodology, and strategy. Issues identification, data governance, ethical considerations, constant AI model monitoring, and management are equally vital.

    Ali Arsanjani, Director of Cloud Partner Engineering at Google Cloud, also weighed in on this matter:

    "I think it's important to understand what the actual use case is and then choose the technology that's appropriate. I would say that any traditional mechanism should be broken down into what you would do with software engineering and with machine learning. So there's a segment of the problem that is easily addressable through traditional software engineering practices and best practices, and there's a segment which potentially could benefit from unlocking data. And that unlocking and activating data would be through machine learning. So if you can partition the use case into those two categories, what's traditional, what you do for scalable architecture versus what you have data for input and output data that you can then use to unlock capabilities within AML kinds of scenarios.."

  • Fear of the uncertain
    Fear is the third common problem. Andreas Welsch mentioned people's fear of losing their jobs to AI while Ali Arsanjani addressed the uncertainty of return on investment. He suggested:

    "If an executive is met with some uncertain technology, unproven technology, they're probably going to push back until the value of that technology is  demonstrated."

    Nestor built on his point, affirming "risk of failure" is not an easy matter to overcome and offering a solution:

    "We have to make it easy for companies to use ML. If you don't have the experts or the domain knowledge, democratizing IA access to the majority is a must. [...] First, we must embed ML models in our business apps [...] Then we make it easy to use your data in your production systems to train and predict without the need to do complex ETL" - Nestor Camilo, Director Cloud Adoption Public Sector of Oracle

    Additionally, Andreas Welsch highlighted the importance of building the trust of business users. Explaining and informing business stakeholders of the tremendous benefits of the AI/ML system so the involved parties can start capitalizing on its potential are paramount, as declared by Andreas.

    Ali Arsanjani had a different perspective. He believed that education should come first; with enough knowledge, comes the ability to weigh and make knowledge-based and experience-based evaluations, which can be used to build trust.

    "To have a conversation on the adoption of technology, I would say that we need to do more in terms of not just trying to convince, but invest in education and upskilling; then we can have more aligned conversations with someone. If they're in a completely different frame of mind and a completely different knowledge base, there is almost no way we can convince them."

    Nestor Camilo seconded Ali's opinion, saying that providing formal AI training is crucial as "you can do a lot better if they know what you are talking about."

    Aamar Hussain discussed how education can impact the culture in a positive way. He considered that culture held a critical role in the conversation. You can either have a dialogue where leaders force people to follow or you can have a culture in which the leader brings people on board with education and reinforcement.

  • Cultural barriers
    The last major challenge is cultural barriers, or as Ali Arsanjani put it, "resistance to change". Aamar Hussain further noted that some executives tend to stick with the way things have been done for years. It often takes some persuasion before they see that adopting new processes will be worth the overall gains they will bring.

    He also spoke highly about executives being prime examples for their followers. You can't preach about sustainability and be one of the main sources of CO2 emissions. The advocate for change and new technology adoption must be the change themselves.

    Ali Arsanjani proposed a possible solution to this problem:

    "So starting out small, using projects that are demonstrating key performance indicators that can be enhanced. So something that someone cares about. If I come to you with some proposition and you don't really care about that proposition or it's not really aligned with your business objectives, it's not going to be important. But if it is, you will listen. And if there's a project that will pinpoint some advancement in that area, you're going to tend to listen to it more. And then the next phase of maturity there would be the education and adoption and documentation of the practices, automation of the practices, gathering data on the tasks that have been done and then continuous improvement."

  • All in all, the four speakers agreed that the best ways to tackle some major AI/ML adoption challenges in enterprises are understanding business needs, identifying the organizational concerns and seeing how the new technologies can help, bringing everybody on board with your journey, and decreasing the risk of disinformation and misinformation. Most importantly, businesses can achieve transformational development by anticipating adoption barriers and adopting a strategic AI implementation using the maturity model described by Ali.

    "With a business-driven machine learning MVP you can convince reluctant people that AI is mature for a lot of business use cases and don't try to do moon shoot project first, but baby steps that generate a lot of value and confidence" - Nestor Camilo, Director Cloud Adoption Public Sector of Oracle

    The webinar details

    Worldwide AI Webinar is a purely-educational global AI conference hosted by Wow AI. The 2022 edition of this event featured over 20 top AI experts and thought leaders from international tech giants and global corporations, as well as government agencies.

    Check out Wow AI's website, YouTube, and LinkedIn channels to rewatch Worldwide AI Webinar 2022 and learn more from top-industry AI experts.

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    Mon, 10 Oct 2022 03:30:00 -0500 en text/html https://markets.businessinsider.com/news/stocks/4-tech-giant-executives-resolve-four-major-ai-ml-adoption-obstacles-in-the-enterprise-1031793245
    Killexams : Most common SAP vulnerabilities attackers try to exploit

    Unpatched vulnerabilities, common misconfigurations and hidden flaws in custom code continue to make enterprise SAP applications a target rich environment for attackers at a time when threats like ransomware and credential theft have emerged as major concerns for organizations.

    A study that Onapsis conducted last year, in collaboration with SAP, found attackers are continuously targeting vulnerabilities in a wide range of SAP applications including ERP, supply chain management, product life cycle management and customer relationship management.  Active scanning for SAP ports has increased since 2020 among attackers looking to exploit known vulnerabilities, particularly a handful of highly critical CVEs.

    The study showed that often attackers have proof-of-concept code for newly disclosed vulnerabilities in as little as 24 hours after initial disclosure. and fully working exploits for them in under three days. Onapsis observed attackers finding and attacking brand new cloud-hosted SAP systems in barely three hours.

    Yet, many organizations are continuing to leave SAP applications unpatched or are failing to apply recommended updates for months—and sometimes even years—because of concerns over business disruption and application breakages. A Pathlock sponsored report earlier this year, that was based on a survey of 346 members of the SAPinsider user community, showed 47% of respondents ranking patching as their biggest challenge behind only threat detection.

    "With known SAP vulnerabilities totaling 1,143, organizations continue to struggle with prioritizing which of these presents the greatest risk to their specific environment," says Piyush Pandey, CEO of Pathlock. "There must be a shift in mindset to factor in risk levels that allow for immediate mitigations of the most pressing threats," he says.

    The security of custom code ranked as the next biggest concern after patching, with 40% identifying it as an issue. The Pathlock survey found many organizations have dozens or even hundreds of SAP systems in place making patching difficult and time consuming, especially because they are trying to avoid disruptions and app breakages.

    Copyright © 2022 IDG Communications, Inc.

    Fri, 07 Oct 2022 06:02:00 -0500 en text/html https://www.csoonline.com/article/3674119/most-common-sap-vulnerabilities-attackers-try-to-exploit.html
    Killexams : Learning Management System Market projected to reach $37.9 billion by 2026, with a remarkable CAGR of 19.1%

    According to a research report "Learning Management System Market by Component (Solutions and Services), Delivery Mode (Distance Learning, Instructor-led Training, and Blended Learning), Deployment, User Type (Academic and Corporate), and Region - Global Forecast to 2026″ published by MarketsandMarkets, the global LMS Market size to grow from USD 15.8 billion in 2021 to USD 37.9 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.1% during the forecast period. The LMS Market is fuelled by enterprises focusing more on human capital development. Effective employee learning and development brings a positive impact on employee performance and organizational competitiveness. Training also helps employees develop a positive attitude toward learning and improving proficiency, which results in enhanced productivity and competitiveness in the workplace and the organization.

    Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=1266

    A learning management system (LMS) is an e-learning platform used to design, deliver, and track training programs. It offers a blended learning environment, extensive batch management, monitoring of course completion, and automation for a seamless training experience. Organizations deploy LMS to impart goal-specific training and make learning easy and interactive. LinkedIn's Workplace Learning Report (2022) puts learning and development (L&D) at the forefront of businesses, with 53% of learning and development (L&D) professionals suggesting that the learning function is integral to success and 48% of organizations working toward deploying learning management systems by increasing their investment capacity.

    Cornerstone OnDemand, D2L, Blackboard, IBM (Kenexa), Adobe Systems, Docebo, and Cypher Learning are among the key players in the learning management system market.

    Major trends that play an instrumental role in shaping the learning management system market include:

    • LMS offers easy integration capabilities to business systems and has become a top priority to enable a learning strategy that directly impacts business processes and results
    • Artificial intelligence (AI) and machine learning (MI) technologies streamline learning and facilitate e-learning management through data analytics, chatbots, and assigning of tasks
    • Gamification and game-based learning instill motivation through badges, points, and leaderboards, encouraging learners to focus more on the course
    • Integrating microlearning-which has a higher completion rate and could be used as on-the-go training-with LMS will make it easier for learners to access course materials anywhere
    • Augmented reality (AR) and virtual reality (VR) allow trainers to understand and measure users' progress and take corrective measures to boost efficiency
    • Big data analytics can determine the company's ROI on training by analyzing user experiences and performance data

    Request sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=1266

    There is no question that technology has transformed businesses today. We now live in an interconnected world where traditional training methods have become less relevant. With technological advances, modern LMS has become more than an administrative tool to deliver and track e-learning-it has adapted to innovative trends and techniques, creating a more personalized and collaborative learning experience.

    Market Players

    Major vendors in the LMS Market include Cornerstone OnDemand (US), Blackboard (US), PowerSchool (US), Instructure (US), D2L (Canada), SAP (Germany), SumTotal (US), IBM (US), LTG (UK), Oracle (US), Infor (US), Adobe (US), and Docebo (US).

    About MarketsandMarkets™:

    MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their pain points around revenues decisions.

    Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

    MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.


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    Fri, 14 Oct 2022 11:32:00 -0500 en text/html https://www.bignewsnetwork.com/news/272924036/learning-management-system-market-projected-to-reach-379-billion-by-2026-with-a-remarkable-cagr-of-191
    Killexams : Business Intelligence Platforms Software Market to Witness Increasing Revenue Growth During the Forecast Period By 2028| Board, Chartio, ClicData

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

    Oct 04, 2022 (Heraldkeepers) -- The Infinity Business Insights gives the brief research report of the Business Intelligence Platforms Software Market around the globe. In the newly released finding, our researchers have performed end-to-end research analysis with the help of significant methodologies to showcase a report on the global Business Intelligence Platforms Software market. The given business insights offer a powerful opportunity for deep success by discarding all the threatening obstacles and meanwhile, understanding the requirements and expectations of the client. Apart from this, the research provides accurate cost-effectiveness, brief orientation, high-quality research capabilities, punctual delivery, and other essential features related to the Business Intelligence Platforms Software market.

    In addition to this, comprehensive inspection, proper data gathering, and assessment have been organized precisely by formulating this world-class Business Intelligence Platforms Software market report. Moreover, this study includes worthwhile and insightful statistics collected from in-depth techniques and tools.

    Download FREE sample PDF Copy of Business Intelligence Platforms Software Report:

    Major Key Players of the Business Intelligence Platforms Software industry:

    Board, Chartio, ClicData, Domo, Dundas BI, Halo, IBM, Information Builders, InsightSquared, Klipfolio, Looker, Microsoft Power BI, MicroStrategy, Mode, Oracle, Qlik, SAP, Sisense, Tableau, TIBCO

    The global Business Intelligence Platforms Software market analysis report has been designed in such a way that it serves to make this research survey easier to read and analyze for industry executives, managers, and competitors to absorb the necessary information that they require to make some elegant decisions. The latest industry research report is an illustrated source of data that provides an innovative approach to the accurate industry trends, share, Business Intelligence Platforms Software market size, growth demand, status, and industrial opportunities.

    Here's a detailed look at the segmentation of the Business Intelligence Platforms Software market:
    Global Business Intelligence Platforms Software Market classifies into Types:
    Cloud Based
    Web Based

    Global Business Intelligence Platforms Software market segregation by Application:
    Large Enterprises

    Main regions uploaded in the Business Intelligence Platforms Software market:
    1. North America (United States, Canada)
    2. Latin America (Brazil, Mexico, Argentina, Rest of LATAM)
    3. Europe (U.K., Germany, France, Italy, Spain, Hungary, BENELUX (Belgium, Netherlands, Luxembourg), NORDIC (Norway, Denmark, Sweden, Finland), Poland, Russia, Rest of Europe)
    4. Asia-Pacific (China, India, Japan, South Korea, Malaysia, Indonesia, Taiwan, Hong Kong, Australia, New Zealand, Rest of Asia-Pacific)
    5. Middle East and Africa (Israel, GCC (Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman), North Africa, South Africa, Rest of Middle East and Africa)

    Reportedly, the analysis includes actionable industry investigation for the noteworthy players and other individuals who are desparate to boost their business-oriented knowledge. The accurate global Business Intelligence Platforms Software market report helps worldwide businesses to accomplish a data-focused approach on each facet that we have explained in this report. Furthermore, the global Business Intelligence Platforms Software market study collects and also evaluates information regarding the customers, major competitors, stakeholders, distributors, and other crucial elements in the Business Intelligence Platforms Software marketplace.

    If You Have a Any Query or Inquiry For Buying or Customization Report Click Here:

    Reason to buy Business Intelligence Platforms Software market report:
    1. The report on the Business Intelligence Platforms Software market saves & decreases overall research by recognizing the growth factors, top players, Business Intelligence Platforms Software market size, and key segments.
    2. It highlights the trending business priorities to direct the companies to renew their business strategies and meanwhile, implement wide geography for them.
    3. The measurable findings and suggestions highlight the essential progress of the industry trends in the global Business Intelligence Platforms Software market.
    4. The study allows vital players to implement highly effective strategies to grab their industry revenue.
    5. Construct latest business expansion plans by utilizing mammoth growth delivery for emerging industries.
    6. Exhibit in-depth worldwide marketing trends and a deep outlook that engaged with the substantial factors that are driving the growth of the Business Intelligence Platforms Software market to a particular extent.
    7. The report is responsible to Improve the decision-making procedure by analyzing the strategies that demonstrate a possible interest in terms of segmentation, product notification, and other industry-driven verticals.

    Table of Contents:
    1. Business Intelligence Platforms Software Market Overview

    2. Market Competition by Manufacturers

    3. Production by Region

    4. Global Business Intelligence Platforms Software Consumption by Region

    5. Segment by Type

    6. Segment by Application

    7. Key Companies Profiled

    8. Business Intelligence Platforms Software Cost Analysis

    9. Marketing Channel, Distributors and Customers

    10. Market Dynamics

    11. Production and Supply Forecast

    12. Consumption and Demand Forecast

    13. Forecast by Type and by Application (2022-2028)

    14. Research Finding and Conclusion

    15. Methodology and Data Source

    Contact us:
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    The post Business Intelligence Platforms Software Market to Witness Increasing Revenue Growth During the Forecast Period By 2028| Board, Chartio, ClicData appeared first on Herald Keeper.


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

    Mon, 03 Oct 2022 20:05:00 -0500 en-US text/html https://www.marketwatch.com/press-release/business-intelligence-platforms-software-market-to-witness-increasing-revenue-growth-during-the-forecast-period-by-2028-board-chartio-clicdata-2022-10-04
    Killexams : Grounded: How to find Sap

    One of the most important resources that players will need to track down during the early-game of Grounded is Sap, as it's often used in many common crafting recipes. However, unlike other basic materials like Grass, it's not immediately clear where players can actually find Sap in the vast open world of the Backyard.

    If you're in need of Sap but you're not sure where to look for it, follow this guide. It has everything you need to know about finding Sap, including where it's located, what to look for, and some of the valuable items you can make with it.

    Sap locations and where to find in Grounded

    (Image credit: Windows Central)

    In Grounded, Sap is often found on pieces of wood all over the Backyard. That means you can find it pretty much everywhere, although biomes that have plenty of wood in them will likely have more Sap than ones that don't. Overall, the best place to find Sap is in the Oak Hill area near and underneath the large oak tree in the eastern portion of the map, though you can also find plenty of Sap in the Woodpile to the far northwest and the Grasslands area in the center of the map as well.