Self-service Business Intelligence Tools: Contrasting Gartner Magic Quadrant Competitors – For the third year in a row, Yellowfin 1-2-3 has been named a Visionary in the 2022 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.
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Self-service Business Intelligence Tools: Contrasting Gartner Magic Quadrant Competitors
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Pdf) Analysing The Impact Of A Business Intelligence System And New Conceptualizations Of System Use
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Gartner [Magic Quadrant for Analytics and Business Intelligence Platforms], [Austin Kronz, Kurt Schlegel, Julian Sun, David Pidsley, Anirudh Ganeshan], [March 22, 2022]
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Get the latest Yellowfin news, plus timely information on data, analytics, AI, embedded BI and more. With everything from tips on how to use Yellowfin effectively to inside scoop on what new product opportunities have dropped, Y-Files is definitely the place for BI enthusiasts. Nearly half of CFOs say they see self-service data and analytics as a driver. employee productivity
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As CFOs look for ways to combat inflation’s impact on margins, self-service analytics will become an important tool to improve employee productivity, Inc. In December 2021, it surveyed 400 financial executives to find the most preferred combination of value. and technology was self-service data and analytics as a driver of employee productivity, with 49% of respondents indicating this perception of technology. At least one in four respondents saw it as a driver of organizational speed and agility. “Two out of three CFOs have raised prices in response to inflation,” said Alex Bunt, head of research at Financial Practices. “However, finding ways to improve business productivity and efficiency rather than passing on inflationary costs to customers will be a long-term driver of competitive advantage.” Advanced data and analytics and AI technologies have (or will deliver) high value and where investment growth is expected to include: self-service data analytics, automated machine learning (ML) and ML, cloud analytics, big data analytics and predictive analytics (1 see picture).
“Ninety-four percent of CFOs have digital ambitions in 2022, but they are concerned about whether this can continue amid slower growth, higher rates and a focus on profitability,” Bant said. “Even if growth slows, this investment in digital will be what differentiates winning companies as the cycle improves. We call it digital deflation.’ Big data analytics and predictive analytics were top technology categories for driving more revenue through product or service improvements, with one in three CFOs seeing clear value here. ML and cloud analytics technologies are seen as the best bet for improving cost efficiency, with roughly one in five respondents indicating this. The technology definitions used in the survey were as follows: Self-service data analytics refers to technologies and processes that leverage user leverage with minimal involvement from IT departments. Enabled by low-code/no-code tools in areas such as analytics and business intelligence, data preparation, and data catalogs, self-service is now moving into other data and analytics areas. That’s because automation and augmentation will affect every aspect of data and analytics. Automated ML is the automatic creation of ML models based on given raw training data. Automated ML aims to increase the speed of development while reducing the need for data scientist model development skills. Cloud analytics provides analytics-as-a-service capabilities and includes database, data integration, and analytics tools. As cloud deployments continue, the ability to connect to both cloud and on-premises data sources in a hybrid model is increasingly important. Big data analytics uses large-volume, high-velocity, and/or high-grade information assets that require cost-effective, innovative forms of information processing that enable deeper insights, decision-making, and process automation. Predictive analytics are used to predict a series of outcomes over time and/or the distribution of outcomes that may occur for a particular event, such as driver-based forecasting, time series forecasting, and simulation. Predictive analytics is one of the most popular use cases for CFOs automating forecasting processes. clients can read more: 2022 Finance Technology Bullseye Report. Non-customers can learn more at: Guide to Building a Technology Roadmap.
About CFO & Finance Executive Conference Experts will provide additional insight on key CFO issues during the CFO & Finance Executive Conference June 6-7, 2022 in National Harbor, MD. The CFO & Finance Executive Conference provides actionable, objective insight to help CFOs and their teams take a leap forward in their digital journey by understanding what makes successful teams and what it means to build, buy and borrow in the marketplace. For the full agenda and registration, go to: https:///en/conferences/na/cfo-finance-us. About the Finance Practice The Finance Practice helps senior financial executives meet their top priorities. offers a unique breadth and depth of content to support clients’ personal success and execute key initiatives that cross finance functions to drive business impact. Learn more at https:///en/finance/finance-leaders. To stay ahead of the latest expert insights and key trends shaping the finance function, follow Finance on LinkedIn and Twitter using #Finance. Journalists can find relevant content in the Finance Newsroom section.
The survey found that 90% of CFOs plan to fund organic growth at the same or higher levels than last year.
Data Mesh Vs Data Warehouse: How Are They Different?
About , Inc. (NYSE: IT) provides actionable, objective insight to executives and their teams. Our expert guidance and tools enable you to make faster, smarter decisions and deliver on your organization’s mission-critical priorities. To learn more, visit .The Analytics and Business Intelligence (ABI) platform supports the development and delivery of IT-enabled analytics for non-technical users, meaning it gives them self-service access to consolidated data, analysis, visualization and reporting capabilities. can easily explain and share. As a result, ABI software enables organizations to determine how well they are performing and what business strategies to pursue. For procurement teams researching and evaluating ABI solutions, some of the most important considerations in choosing a platform relate to whether it provides the capabilities your specific organization needs to achieve its goals. However, it’s also important to consider technical interoperability, availability of support and services, and whether the vendor would be a good partner whose vision for the market matches yours. Finally, you’ll want to evaluate pricing and commercial terms.
Defines business intelligence platforms as containing three main categories of capabilities: Analysis, such as online analytical processing (OLAP) Data delivery, such as reports and dashboards Platform integration, such as a business intelligence metadata management and development environment. With dashboards and reports, decisions should be seen as the bottom line and consider how ABI platforms can be used to positively impact the business – from the initiation of activities to the end of decision making. But defining the functional requirements for these platforms and evaluating each potential solution against those criteria will ensure that they actually work. Use these requirements to evaluate the relative value of the various options and ultimately create a shortlist of the best candidates.
Can the ABI platform use machine learning (ML) techniques to automatically generate insights for end users, such as identifying the most important attributes in a dataset? Using ML capabilities to make sense of ever-growing datasets is no longer the stuff of science fiction, but table stakes in the ABI space.
Whether the platform can integrate data from various sources using a drag-and-drop interface to create user-defined analytical models
The Self Service Myth. And The Data Democracy Hierarchy Of…
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