Advanced analytics software news, help and research

Advanced analytics software News

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.
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.
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.
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
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
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

Weigh the pros and cons of technologies, products and projects you are considering.

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
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
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

Learn to apply best practices and optimize your operations.

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
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
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

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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
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
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