What's the difference between good and great when it comes to implementing business intelligence solutions? Check out our ideas and thinking about the things that matter most.

Highlights from our blog

Mean What You Say: Overcoming Semantic Confusion in BI

We came across a humorous post at a Harvard Business Review blog the other day about silly business language. All the acronyms, consultant-speak, jargony slang and high-tech spin are making basic business communication nearly impossible: you get phrases like, “You should meet this guy with the SIO. He’s sort of this kind of social entrepreneur [...]

Interactive BI, Self-Service & Tighter Decision-Making Windows

Aberdeen released a report that highlights the increasingly difficult time problem in business intelligence and the way that Agile development and interactive, business-driven BI address the issue. In short, business executives and analysts have to make decisions faster. The solution from a BI perspective is really two-pronged – using Agile BI to develop new tools [...]

Time for New Year’s Resolutions & 2012 BI Predictions

It’s that time of year again, when pundits across the technology landscape begin to make their predictions and resolutions for the new year. Some of our favorite BI observers have chimed in about how they hope 2012 will bring peace on earth and goodwill to men — not to mention better BI delivery! We certainly [...]

Whitepapers

Enabling Agile Business Intelligence with Balanced Insight Consensus®

Agile BI has reached a tipping point, hailed by analysts as an alternative to traditional business intelligence methods. This whitepaper will highlight the key business issues and typical project delivery challenges addressed by Agile BI, as well as the unique features and capabilities of Balanced Insight Consensus, and how it fulfills on the promise of Agile BI.

The Power of Common Business Language

One of the most significant challenges business leaders face in deploying business intelligence is having common business language – the terms, metrics, and definitions made pervasive throughout an organization. This whitepaper presents the case for standardizing business language and then demonstrates how organizations can deliberately plan the approach and process for that standardization using Balanced Insight Consensus®.

Primer: Information Package Design Standards

Get a primer on advanced Information Packaging techniques and frameworks for optimal communication between end users and delivery teams. By aligning closely with the business requirements of the end users, the methods discussed in this white paper will offer information systems professionals a much needed standard for delivering business intelligence in a more effective fashion than ever before.

Books

Datawarehousing for Dummies

You don’t need a forklift to work with a data warehouse, but you do need a hefty load of know-how to make wise decisions when setting one up. Data is probably your company’s most important asset, so your data warehouse should serve your needs. This book will help you understand, develop, implement, and use data warehouses, plus a sneak peek into their future.

Data Warehousing: Building the Corporate Knowledge Base

Until now, most material focusing on data warehousing has discussed only the data architecture components of the data warehouse. Data Warehousing: Building the Corporate Knowledge Base is one of the first books to offer documented techniques for delving into the complete lifecycle required to successfully deliver a data mart or a data warehouse – including aspects of project management, data architecture, application architecture, load process development, database administration techniques, and more.

Official Sybase® Data Warehousing on the Internet

This book provides insight on how to develop a system to provide quality information quickly – to the right people – without compromising on corporate security. The companion title to Data Warehousing: Building the Corporate Knowledgebase provides a practical approach for delivering true business value within the data warehouse – linking content to employees, shareholders, customers, and suppliers over the internet, intranet, and extranets.

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