Remove Descriptive Analytics Remove Digital Transformation Remove Predictive Analytics Remove Technology
article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. Data analytics examples.

article thumbnail

AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next. Prescriptive analytics to show how to achieve or prevent the prediction. Diagnostics to show why it happened.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. But how best to automate these decisions?

article thumbnail

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation.

article thumbnail

Five Steps for Building a Successful BI Strategy

Sisense

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . In order to know where to go, you must first find yourself on this chart.

article thumbnail

How Freudenberg Home and Cleaning Solutions Makes Better Decisions with Enterprise-Wide Planning

CIO Business Intelligence

The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. This hampered the company from having an enterprise-wide view.