Analytics Related Topics 
insideBIGDATA
JUNE 10, 2024
In this contributed article, Vara Kumar, co-founder and head of R&D and pre-sales at Whatfix, discusses how in today's competitive landscape, harnessing the full potential of product analytics is pivotal for companies seeking to optimize their internal and external product usage.
insideBIGDATA
MARCH 9, 2023
In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system.
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insideBIGDATA
NOVEMBER 24, 2023
In this contributed article, Vijay Veerra, Principal Consultant of Business Solutions and Research with Altimetrik, discusses the power of predictive analytics in identifying "purple swans" and their potential impact on businesses. Purple swan refers to a rare yet foreseeable event that offers unparalleled rewards.
insideBIGDATA
MARCH 18, 2023
Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field. In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy.
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Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics. But today, dashboards and visualizations have become table stakes.
insideBIGDATA
FEBRUARY 20, 2024
Organizations face more pressure than ever to be data-driven, but as economic challenges loom they are forced to do more with less with their IT budgets, making compromises with their analytics databases that end up hindering their data-driven initiatives.
insideBIGDATA
SEPTEMBER 3, 2024
In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!
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Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.
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Outdated or absent analytics won’t cut it in today's data-driven applications. That's what drove the five companies in this eBook to change their approach to analytics. Learn about their unique problems and how, by embedding analytics into their application, they achieved huge returns and greater value than anticipated.
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