Data integration suffers from an image problem. It has become synonymous with extract, transform and load (ETL). Likewise, ETL has been regarded as a data warehousing (DW) technology. Both of these viewpoints do not reflect current capabilities and greatly inhibit enterprises in their attempt to integrate data to provide the information their business needs.
Because of this short-sightedness companies have lost opportunities to harness information as a corporate asset. It increases the cost of integrating data, encourages the creation of data silos and forces business people to spend an inordinate amount of time filling the information gaps themselves through data shadow systems or reconciling data.
>>> Continue to the rest of my article, Data Integration: Beyond ETL and Data Warehousing, on the Information Management website.