As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.
ERP: When Transparency Becomes Tunnel Vision David Bourque
The face of manufacturing is constantly changing. As enterprise resource planning (ERP) software evolves and more organizations continue to use ERP solutions, they must find a way to avoid ERP’s “tunnel vision” syndrome… Read Article…
Contemporary Business Intelligence and Its Main Components TEC Analysts
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate data for decision-making. But what exactly are the primary… Read Article…
Innovations in Business Intelligence Anna Mallikarjunan
Business intelligence (BI) is in the midst of a new wave of innovations. Ideas in the search space, software as a service, and real-time analytics are extending the reach of BI across the complete size spectrum of… Read Article…
Five Steps to Business Intelligence Project Success Lyndsay Wise
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide… Read Article…
CART 
