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The Four Core Project Types: A Conceptual Foundation for Predictive Analytics

The vast majority of predictive analytics projects can be conceptualized as falling into one of four basic types, from which we can creatively combine the benefits of each to enhance our organizational performance.

The State of Agile BI, Part 2: Getting to Agile

How to change development processes to increase business value and speed information delivery.

Taking the Big Data Leap: A Business Case for Hadoop

Don't be tempted to start your Hadoop journey by exploring fancy new analytics. Offloading existing ELT workloads could be your ticket to a bright Hadoop future.

BI Best Practice: Delete Most of Your Reports

Deleting reports will allow your enterprise to focus on new value instead of maintaining old assets that are rarely used.

TDWI Checklist Report Helps Enterprises Explore Big Data Analytics

New report explains how enterprises can embrace big data and Hadoop and answers several key questions to help them get started and reap the benefits of these technologies

Q&A: Weighing Pros, Cons of Open Source BI

Open source BI solutions have matured; now they offer sound and compelling software for business intelligence, but they may be overlooked in the search for a solution.

The State of Agile BI, Part 1: Agile BI at a Tipping Point

How can we deliver BI solutions to our users faster without compromising architecture and quality?

When Implementations Fail: Lessons and 10 Best Practices for BI Professionals

Problems with the Affordable Care Act website rollout offers lessons that BI professionals can apply to their own project implementations. We offer 10 best practices to help you avoid such problems in your own environment.

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