Sponsored by Composite Software

Organisations are changing. The decision process is changing. As a result, business intelligence has to change. It has to adapt to the new reporting and analytical needs of business users. All these needs can be summarised with one word: agility. Business intelligence solutions have to become more agile. This whitepaper describes how data virtualisation technology makes business intelligence systems more agile.

In 1964, Bob Dylan wrote the song ‘The Times They Are A Changin’. He was (and is) probably not a business intelligence expert, although, with Dylan you never know. Still, this text is very much true for the current world of business intelligence. In the beginning, business users were satisfied with simple tabular reports showing what had happened. This was followed by the wish to present data more graphically. Next, users wanted to have more dynamic capabilities, they wanted to ‘play’ with the report data, they wanted to be able to do so-called drill-downs and roll-ups. And since then, the new demands kept coming. Their wish-list keeps changing. They demand new forms of reporting and analytics.

The biggest challenge facing the business intelligence industry today is how to develop business intelligence systems that have an agility level that matches the speed with which the business evolves. If the industry fails in this, current business intelligence systems will slowly become obsolete and will weaken the organisation’s decision-making strength. Now that the economic recession is not going to pass soon and now that businesses have to operate more competitively, the need to increase the agility of the business intelligence systems should be number one on every organisation’s list of business intelligence requirements. Agility is becoming a crucial property of each and every business intelligence system.

This whitepaper discusses how data virtualisation technology can help to make business intelligence systems more agile. This technology simplifies the development process of reports through aspects such as unified data access; data store independency; centralised data integration, transformation, and cleansing; consistent reporting results, data language translation, minimal data store interference, simplified data structures, and efficient distributed data access.


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Enterprise IQ Pty Ltd ABN: 85 118 223 233
ACN: 118 223 233
Contact Information Ph: +61 (0) 403 771 785
Staff Details MD: Daniel McMurray
Program Director: Dylan King