Companies need to consolidate and store their data in a manner that makes data easily retrievable and comparable. This is creating a big industry for VLDB (Very Large Database) vendors like Oracle, Informix, and Sybase. These VLDB's, sometimes in the terabytes, are massive data structures that are difficult to manipulate even with today's high powered computer systems.
Many new companies are springing up creating OLAP (on-line analytical processing) software that interacts with relational databases. The most notable of these firms, MicroStrategy Inc., designed a relational OLAP that "analyzes directly against a relational warehouse without any constraints on the number of dimensions, database size, analytical complexity, or number and type of users." Its vision is to create a "crystal ball on every desktop" so that managers can drill down into their data and easily analyze it.
With the advent of new data warehousing, companies may want to distribute their data. The most important distribution channel is, of course, the Internet. Many general companies that have large amounts of information will soon also enter the information business. Most people now get homeowner information from the US Census Bureau but usually this information is more broad than most analyzers want. A real-estate agency like Century 21 could make good money making aggregate, searchable, reportable data available via the World Wide Web. A company could pay a yearly $10,000 subscription fee to access Century 21's data. Another example is Toyota. The Department of Motor Vehicles provides scant information on drivers. A larger car company like Toyota or Ford could potentially make a good supplemental income providing this data to researchers. Since the data would only be available in aggregate form, Toyota would not be jeopardizing its competitiveness.
Mike Sayler, CEO and founder of MicroStrategy, thinks data processing will be a one trillion dollar industry in five years. That's big business!
Imagine it: major business that collect data will also sell data. Just like a magazines do now - many magazines make more money off of selling their subscription list than they do off of the actual subscriptions.
Copyright © 1996 Auren Hoffman. All Rights Totally Reserved.