How the wrong data strategy can miss new customers, creating an enterprise data lake, and why one man believes open source is the key to real security.
- By Quint Turner
- October 7, 2016
The data warehouse still has a big part to play in the way companies develop, deliver, and consume analytics. Data scientist James Bird and his team built a forecasting application based on a mix of open source software and an existing data warehouse.
- By Steve Swoyer
- October 7, 2016
Cloud’s impact on data integration, avoiding big data roadblocks, and the security benefits of self-healing systems.
- By Quint Turner
- October 6, 2016
Despite the abundance of numerical patterns, the stock market is one of the more difficult predictive challenges.
- By Brian J. Dooley
- October 6, 2016
Misha Plotkine, founder of the algorithm-driven travel application MobyTrip.com, spoke with Upside recently about how analytics affects his company's growth.
- By James E. Powell
- October 6, 2016
Developing a long-term big data strategy, identifying cyberattack vulnerabilities, and the growing demand for data engineers.
- By Quint Turner
- October 5, 2016
Data visualization is ideal for a complex subject such as climate change. These pieces are strong examples of how charts and animations can portray large numbers and trends.
- By Lindsay Stares
- October 5, 2016
In a world of information overload, analytics professionals have to focus on delivering consumable analytics. Visualizations and alert systems allow users to more easily consume and use data.
- By Troy Hiltbrand
- October 4, 2016