A Data Warehouse is a computer system designed for archiving and analyzing an organization's historical data, such as sales, salaries, or other information from day-to-day operations. Normally, an organization summarizes and copies information from its operational systems to the data warehouse on a regular schedule, such as every night or every weekend; after that, management can perform complex queries and analysis on the information without slowing down the operational systems.
Join John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Heine Krog Iversen, CEO at TimeXtender, for a discussion on how to improve your organization’s responsiveness to business change and how to adapt to a data-driven environment.
Attendees will gain insight on:
How data-driven organizations are changing business and technology
Which data sources are empowering data-driven organizations and challenging IT departments
How IT departments and analytical teams can get ahead of data-driven change
How data warehouse automation enables not only data-driven business stakeholders, but proactive IT departments
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