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Are Data Scientists Needed in the Self-Service Analytics World?

As the world becomes increasingly data-driven, businesses are turning to self-service analytics to enable business users to perform their own data analysis tasks. In self-service analytics, business users can access and analyze data without assistance or support from IT personnel or data scientists. Direct access to ML-powered analytics platforms allows them to make better business […]

Fundamentals of Self-Service Business Intelligence

It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]

Governed Self-Service Analytics, People, and Processes

Click to learn more about author Aditi Raiter. Self-service BI is lucrative but demands an eye on governance and security. In this article, I will stress the behaviors and strategies needed around managing self-serve BI/reporting tools. Self-service analytics rotates around business users having access to data preparation and dashboard building tools. There are many challenges […]

What Is Augmented Analytics?

Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable users to extract intelligence more quickly and simply. In addition, this kind of automation guides the user toward new insights, through built-in trend pattern recognition and pattern recognition tools. Augmented analytics share the following characteristics: Smart data discovery tools assisting business […]

Fundamentals of Machine Learning Enabled Analytics

The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]

Data Models That Build Themselves

Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]

Business Intelligence and Analytics Trends 2019

In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]

Ad Hoc Analysis: The Limits of Self-service BI

Click to learn more about author Matthew Gierc. Self-service BI. Ad hoc analysis. Exploratory data analysis. This is the holy grail that companies are looking for, right? At least that’s what the BI dashboard vendors are telling us. But do these tools really help organizations? In the short-term, yes. But the long-term effects of repeated Ad […]