TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Out of the Loop: Why Agile Alienates Data Teams and What to Do about It

Five ways to reduce risk and find the opportunities in leaner development processes.

• By Cass Brewer
• March 14, 2016

April 14th, 2016: Big Data & Machine Learning in Healthcare

• March 11, 2016

IT in Crisis: Q&A with Jill Dyché

The prevailing phenomenon that seems to be the source for all of IT's problems can be boiled down into a single, simple sentence.

• By Jill Dyché
• March 11, 2016

Demand for Analytics Is Off the Hook

The outlook for general-purpose IT spending is mixed and uncertain. One thing that isn't mixed or uncertain, however, is demand for analytical products and services.

• By Steve Swoyer
• March 11, 2016

Data Digest: BI Project Success, Unlocking Unstructured Data, and Advanced Data Integration

If 80% of BI projects fail, how do you become part of the 20% that succeeds? Plus unlocking the secrets of unstructured data and why data integration requires a special focus.

• By Quint Turner
• March 11, 2016

Divide and Control: Roles vs. Rules in Access Management

Role-based access control is the norm in many companies, but binding users to statically defined roles is an inflexible approach. Attribute-based control offers more opportunity and flexibility to get security right.

• By Cass Brewer
• March 10, 2016

Data Digest: Machine Learning, BI in the 21st Century, and Analytics Battles Privacy

Can a robot perform analytics on big data, plus using modern tools to manage unstructured big data and data analytics vs. consumer privacy.

• By Quint Turner
• March 10, 2016

For Data Scientists, Data and Analytics Skills Are Not Enough

Data scientist is a wildly popular job title, but a good data scientist needs more than strong analytics skills. Knowing the business is crucial.

• By Mike Schiff
• March 10, 2016