News
Seven Steps for Implementing Data Discovery Tools
Posted in: Business Intelligence - Mar 28, 2013Expectations for what business intelligence needs to deliver are changing fast. At one time, BI technology demanded that users overcome steep learning curves, backlogs for applications, delays for batch queries, limited historical data, and static reports. Now users expect more. Tools and technologies are rapidly evolving to satisfy greater demands for ease of use, timely data access, and deeper analytics.top
Faster Analytics and Better Business Intelligence
Posted in: Business Intelligence - Mar 26, 2013Today’s business and analytics users place high value on timeliness. Reaching decisions quickly—at the speed of thought—depends on two factors: the response speed of the data exploration tooling and the delivery speed of data into the exploration environment. Modern tools deliver these features through in-memory operation on locally stored data and direct access to operational data, respectively. The result is faster turnaround time of decisions based on more timely information.top
Big Data Management: Deploying Best-of-Breed Solutions to Do More with Less
Posted in: Master Data Management - Mar 26, 2013Savvy data mangers are using multiple approaches to maximize the strength of each technology.top
Faster Analytics and Better Business Intelligence
Posted in: Business Intelligence - Mar 26, 2013Today’s business and analytics users place high value on timeliness. Reaching decisions quickly—at the speed of thought—depends on two factors: the response speed of the data exploration tooling and the delivery speed of data into the exploration environment. Modern tools deliver these features through in-memory operation on locally stored data and direct access to operational data, respectively. The result is faster turnaround time of decisions based on more timely information.top
Go Faster, Get Better Business Intelligence
Posted in: Business Intelligence - Mar 26, 2013Building a data warehouse is the stuff of legend–unreal project lengths, famous failures, and some surprising successes! Enterprise data warehouses emphasize quality and completeness; data marts major in speed and business value. Today, users demand instant satisfaction and quality solutions.top
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