Bolder Technology, Inc., a firm with a 13-year history of consulting and education in business intelligence and data warehousing, announced the availability of new research findings that examine the infrastructure costs for supporting low-latency data acquisition for the enterprise data warehouse. The study was authored by Richard Hackathorn, president and founder of Bolder Technology, and Jack Garzella, an IT executive who has implemented numerous enterprise data warehouses. The research findings are documented in the whitepaper, "Knowing Sooner Rather than Later: Cost Analysis of Low Latency Data in Enterprise Data Warehousing," that explores five typical architectures for data acquisition and estimates the typical cost for each.

Across a wide range of business sectors, companies see the freshness of their business data as a critical factor for generating revenue and maintaining competitiveness. Enterprise data from core transactional processing systems should be continuously available wherever it is needed. However, making real-time information available across the enterprise has been perceived as costly and technically difficult. This study challenges the belief that low-latency data is too expensive to support analytics and reporting for the business.

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