TDWI Articles


Data Digest: Edge Analytics, Data-Driven Marketing Opportunities, Decision Rights in Big Data

Today’s articles discuss moving analytics to the site of data collection, finding new target markets with big data, and assigning decision rights for agility with big data.

Data Digest: Preventing Data Leaks, Biased Models, and Poor Predictions

How to stop employees from leaving with enterprise data, avoid seeing causal connections that aren’t there, and create better predictive models by combining diverse data.

Marketing IT In-House: 3 Tips for Telling a Good BI Story

Your business colleagues will remember a great story, so learning to tell your team's story can win and keep your in-house customers.

InsightOps for Advanced Analytics and Data Science

DevOps addresses the challenge of engineering, deploying, and maintaining software for production use. IBM says we need something similar for advanced analytics and data science.

SAP Optimizes BW for HANA, Readies BW for the AWS Cloud

It’s official: SAP BW is coming to HANA, SAP’s in-memory database platform. BW is also coming to the cloud -- in this case, Amazon’s unstoppable AWS.

Microsoft Improves Power BI’s Usefulness as Advanced Analysis Platform

Slowly but surely, Microsoft is making Power BI into an extremely useful platform for advanced analysis. New improvements promise to make analysts even more productive.

Data Stories: Correlation Is Not Causation

Bad visualizations are everywhere: some are created for humor; some are intended to trick viewers. Are you being fooled by misleading charts?

Data Digest: AI in Security, Benefits of Big Data Analytics, Become an Analyzing Data Scientist

Today’s articles explain the role of AI and machine learning in modern cybersecurity, the broad benefits of big data analytics, and a path for becoming a data scientist focused on statistics, analysis, and problem-solving.

Data Digest: IoT Recommendations -- Object Storage, Playing to Your Strengths, Designing Strategy

Read how object storage might help manage IoT data, why IoT success isn’t dependent on owning an ecosystem, and how to develop and implement a great IoT strategy

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