Fundamentals of Descriptive Analytics

In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze…

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Bring Data To The Other 80% Of Business Intelligence Users

Many of us remember the old days of enterprise business intelligence (BI) delivery where all requests for new or changed queries, reports, and dashboards had to go through a centralized IT team of BI and data professionals. Today, enterprise BI users enjoy some level of self-service from modern BI platforms with rich semantic layers, graphical…

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What Is PMML and Why Is It Important?

You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and…

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Forrester’s AI Webinar Series: Navigate The Choppy And Exciting Waters Of Enterprise AI

Navigate the choppy and exciting waters of AI with Forrester’s analysts. Forrester’s multi-episode webinar series on AI delves into the profound impact AI has – and will continue to have – on how data scientists and software engineers approach their work and how other job functions will have to adapt to new AI workflows, processes,…

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Creative Ways to Surf Your Data Using Virtual and Augmented Reality

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two…

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The Role of Quantum Computing in Data Science

Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now.  This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough…

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Unveiling the Power of Dark Data in Strategic Decision-Making

If you’ve never heard of dark data, you’re not alone. Setting aside the ominous name, dark data isn’t something that is inherently bad – although, in practice, it usually does end up this way. Dark data is usually unstructured data, though it can also be semi-structured or structured data that a business collects and stores but…

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Data Governance: Your Key To Unlocking an Insights-Driven Business

Organizations are constantly seeking ways to gain a competitive edge by transforming data into actionable insights through analytics. However, achieving analytical success goes beyond just collecting large volumes of data and building dashboards. The key to turning data into meaningful and actionable insights across the organization lies in a frequently overlooked area – establishing a…

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GenAI’s World-Changing Power Is Putting Knowledge To Work

Generative AI will not just disrupt — it will shatter markets, industries, and economies in waves over the next 10 to 15 years. We sense this, but why and how will this happen? We think that generative AI drives the cost of knowledge activation to zero and creates a virtual knowledge loop that increases what…

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BI Governance Lets You Have Your Cake And Eat It, Too

Democratizing enterprise data while trying to stick to a single trusted enterprise data source (i.e., the “single source of the truth”) is a quagmire. Actually, these are two almost opposing objectives. True data democratization is only possible by empowering business users — citizen developers — to author up to 80% of business intelligence (BI) applications;…

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