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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Overcoming data obstacles in the banking industry with Industry Accelerators in Cloud Pak for Data

IBM Big Data Hub

During these times of uncertainty, all companies are being stressed in new ways; supply chains are being halted with employee sickness, retail store doors are closed to encourage social distancing, and health care facilities are overwhelmed by patient demand.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

This scenario is surprisingly close to reality as mergers cause traditional healthcare industry borders (healthcare provider, healthcare payer, pharmacy) to crumble. Superior understanding of customers’ behaviors and preferences and product usage patterns form the basis for industry transformations.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society.

Analytics 103
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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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Is 2018 the Tipping Point in Digital Transformation?

Bill Schmarzo - Dell EMC

The McKinsey article “ Why Digital Strategies Fail ” explains why incumbents fail when embracing digital transformation: Most digital strategies don’t reflect how digital is changing economic fundamentals , industry dynamics, or what it means to compete. Understanding the Economics of Digital Transformation. What does it mean?