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 See the most recent articles below.


Tackling Data Quality Problems in Data Consolidations

Data quality problems arise when an enterprise must consolidate data during a merger or acquisition. We examine a real-world example of how a firm in Iceland confronted the challenge.

A Phased Approach to Data Warehouse Projects

Massive waterfall solutions may not be the right approach for many enterprises. We offer a better way to build data warehouse success.

How Autonomous Cars Will Benefit Enterprise-Scale Analytics and BI

What does a car that drives itself have to do with BI? The connection is stronger than you might think.

Mastering Reference Data

Master data and reference data are not exactly the same. Understand and manage the difference and you can improve planning, business processes, reporting, and service delivery.

How Big Databases on Demand Are Paving the Way for Analytics on Demand

Cloud computing plus a new generation of big data analytics DBMS are enabling big databases on demand.

Responding When It Matters: Creating Real-Time Unique Responses Using Analytics

To make real-time unique response a reality, you must focus on three core competencies.

BI/DW Agility: Go Faster, But Not Too Fast

Organizations implementing agile methods have to ensure that project schedules allow for enough iteration to enable agile teams to uncover and incorporate new requirements into their applications. Only then will the faster pace of development create a faster path to information advantage.

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