Learn to limit storage of unnecessary data, how to recover after a data breach, and what 2017 holds for open source security.
- By Quint Turner
- November 29, 2016
It was hard enough to manage testing and quality assurance in the old days. In the context of big data, cloud, streaming data, and other still-emerging technologies, automated testing and quality assurance is a necessity, not a luxury.
At TDWI's recent Executive Summit in San Diego, Chick-fil-A's Justin Winter talked about his company's hugely successful mobile app, which is both a product of advanced analytics and a vital source of marketing and customer data.
Define big data and data science, learn why the U.S. election result doesn’t indicate inherent problems with analytics, and ensure your enterprise is compliant with big data regulation.
- By Quint Turner
- November 28, 2016
At TDWI's recent Executive Summit in San Diego, Facebook's Justin Ward made a case for what he called "building block" business intelligence.
The AI-ification of the enterprise has begun. This trend is expected to accelerate over the next few years, with spending on AI increasing to a staggering $47 billion in 2020.
Data modeling has fallen out of favor with the rise of big data, but the context provided by modeling will be critical to successful AI applications and algorithm-based decision making.
- By Barry Devlin
- November 22, 2016
Read 10 best practices for successful data visualizations, see an infographic about the scope of big data, and learn about all the major tools for data visualization.
- By Quint Turner
- November 22, 2016
Couldn't master data management practitioners tackle MDM as a series of small iterative projects like agile coders would? Instead of enterprisewide efforts, why not start with pragmatic projects that deliver immediate value?
- By Steve Swoyer
- November 22, 2016