Latest PricewaterhouseCoopers Technology Forecast Report identifies Semantic Web as crucial enterprise technology, mentions Belgian spin-off Collibra as key provider.

Brussels, Belgium – June 2 2009 – In a ground-breaking Technology Forecast Report, PricewaterhouseCoopers has identified semantic technology as a solution for bridging information gaps, facilitating interoperability and unlocking hidden data in the enterprise. The report describes how the technology can lower costs by reusing data and decreasing the number of custom connections between databases. The forecast also lists a number of providers in the semantic technology space.

Collibra, a VC-backed spin-off from the Free University of Brussels, Belgium, was listed in the report as a key semantic technology provider. Felix Van De Maele, CEO, responds: “We are very satisfied with this report. It comes at exactly the right time. Semantic Technology is basically a way to save money and get rid of integration overhead. Enterprises are looking for ways to cut costs now, and our technology can do that.” Collibra focuses entirely on the enterprise market and offers a suite of solutions based on 10 years of research. “Together with our growing customer base and successful projects, this report strengthens our belief that we are in the right place at the right time. Semantic technology makes a lot of sense, and people are starting to realize that.”

The PricewaterhouseCoopers report comes just weeks before the SemTech 2009 Conference, the industryʼs largest conference on semantic technologies. Collibra is a Gold Sponsor of the event, which takes place at the Fairmont Hotel in San Jose, California, 14-18 June. The company will be presenting industry use cases and announcing new products at the conference.

http://www.pwc.com/techforecast

www.collibra.com

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— PIETER DE LEENHEER, FELIX VAN DE MAELE

Executive Summary

In today’s business ecosystems, information has become a competitive and strategic asset. Being able to exchange data and to interpret the information in the data that has been exchanged in the right context and within a reasonable time is a top priority for many organizations. Starting from three simple but serious questions regarding data semantics, data utilization, and data governance that pop up daily in information-intensive enterprises, we easily identify a value proposition for semantic alignment. However, current techniques that claim to create semantic alignment in this sense are unsatisfactory, both theoretically and as far as the quality of the results is concerned.

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