BI This Week


Q&A: Lessons Learned from Enterprise Analytics

Three IBM analytics experts examine how IBM has leveraged the technology in enterprises around the world. In this interview, they explore the lessons learned and challenges BI professionals face in their analytics journey.

How Predictive Analytics Reveals New Business Insights

Predictive analytics comes in many forms. We show you what each can offer as you look into your highly probable future.

Q&A: The Four Pillars of Agility

Agile is simple but not easy, says chief systems architect Ralph Hughes. He examines the techniques and technologies that can eliminate miscommunications and wasted efforts that often undermine DW/BI development projects.

Q&A: Advanced Data Visualization: From Atomic Data to Big Data

How is information overload converging on real-time decision making? Andrew Cardno, a data visualization expert at AmericanKiwi LLC, shares his perspective.

Big Data and the Midmarket: Identifying and Overcoming the Top Challenges

We examine three key obstacles that stand between midmarket companies and successful big data initiatives.

Agile Business Intelligence: Leaving the Comfort Zone

To reap the rewards of agile, you'll need to take some risks.

Getting Started with Big Data

How should a manufacturer get started with big data? TDWI's Philip Russom offers suggestions for getting off on the right foot.

How Problem Solvers Can Cultivate Innovation

Even if you can't teach innovation, per se, you can teach the practices and methods that creative, problem-solving people can employ to cultivate it.

Q&A: Transforming Your Organization into an Agile Enterprise

Agile is a lean philosophy that's useful for more than just development. How can you maximize success when moving to an agile enterprise? PayPal's Kyle Forbes shares his thoughts and experience.