The next leap forward in improving information agility is about rethinking who does the preparation work. Self-service data prep increases throughput and allows you to leverage the collective wisdom of the organization.
- By Adam Wilson
- September 29, 2016
How much to realistically expect from deep learning, how effective metadata can help analysts, and how to choose the right big data tool for your enterprise.
- By Quint Turner
- September 29, 2016
In these articles, learn how visualizations can provide insight into time spent working at a start-up, the morale of a development team, and the ROI of a college degree.
- By Lindsay Stares
- September 28, 2016
Creating data-driven decisions is not simply a case of adopting the right tools -- it's about offering the right data within the context of the applications people use every day.
- By Josh Martin
- September 28, 2016
Today’s articles address best practices for data storytelling, determining when NoSQL is a better alternative to Hadoop, and ensuring your enterprise is ready for new technologies.
- By Quint Turner
- September 28, 2016
Many important marketing signals are often missed because of challenges inherent in the makeup of marketing data. With the right planning, personnel, and tools, you can overcome these barriers and set your team up for success.
- By Steven Wastie
- September 27, 2016
Master these four key areas to successfully create presentations or display findings with self-service BI tools.
- By Julianna Cammarano
- September 27, 2016
How to decide whether you need a full-time data scientist, the core tasks of a data scientist, and how machine learning can make big data analytics more effective.
- By Quint Turner
- September 27, 2016