Advanced analytics software
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Advanced analytics software News
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January 15, 2021
15
Jan'21
Data storytelling a key part of Yellowfin analytics platform
Data storytelling remains a focal point for Yellowfin. Stories, the vendor's narrative generation tool, features heavily in both its latest platform update and roadmap for 2021.
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December 24, 2020
24
Dec'20
Analytics trends to watch in the coming year
Process automation and continuous intelligence are among the BI trends to watch in 2021 as organizations employ analytics to become more efficient and agile than ever before.
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December 04, 2020
04
Dec'20
The top 5 enterprise advanced analytics use cases
Advanced analytics adoption has been growing across industries. The technology has many growing use cases in enterprises, but these are the top five.
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October 23, 2020
23
Oct'20
Qlik acquisition of Blendr.io adds integration capabilities
Qlik acquired Blendr.io for an undisclosed amount in a move that will expand the BI vendor's ability to integrate with cloud data storage and SaaS platforms.
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business analytics (BA)
Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Continue Reading
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edge analytics
Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Continue Reading
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predictive analytics
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Continue Reading
Evaluate Advanced analytics software Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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6 top business benefits of real-time data analytics
The potential benefits of real-time analytics applications for organizations include faster decision-making, increased business agility, better customer service and more. Continue Reading
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Data science vs. machine learning vs. AI: How they work together
Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations. Continue Reading
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8 top data science applications and use cases for businesses
Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries. Continue Reading
Manage Advanced analytics software
Learn to apply best practices and optimize your operations.
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The data science process: 6 key steps on analytics applications
The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading
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Top 5 predictive analytics use cases in enterprises
From marketing to healthcare, looking at past data can be beneficial to forecasting future trends. Read on to understand the most popular use cases for predictive analytics today. Continue Reading
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Find out how smart you are about machine learning and AI
Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
Problem Solve Advanced analytics software Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Compliance analytics helps data storage meet PII standards
Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules. Continue Reading
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Combine cloud and IoT edge analytics for embedded analytics
Find out why enterprise architects are exploring new strategies that distribute analytics closer to IoT devices. Continue Reading
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Big data analytics for healthcare improves patient care, operations
As the amount of patient data in hospitals continues to grow, healthcare big data analytics can help improve patient safety by providing valuable insights in near-real time. Continue Reading