By using a data warehouse, a company can perform statistical process control against it and flag an early warning sign, just as the company would in its manufacturing line.

Fortunately, the technology sector has anted up new data warehousing and mining tools to provide assistance. Written by Scott Withrow, Contributor May 15, 2002 at 12:24 a.m. PT ...

Data Warehousing Special Report: Data quality and the bottom line. By Wayne W. Eckerson; May 1, 2002; During the past 50 years, the developed world has moved from an industrial economy to an ...

But if the shape of data warehousing projects can come in extremes, their basic management blueprint will not be too dissimilar. And they invariably stem from a few common--and common sense ...

Data warehousing is alive, but perhaps not alive and well. Legacy data warehouses must modernize to fit gracefully into modern analytics ecosystems. They play an important role in data management as ...

Data warehouse modernization, including cloud journeys — 53% Support for real-time analytics — 49% Getting more analytics value from a data lake — 40% IoT analytics — 34% ...

Enterprises choose data warehousing solutions to discover data-driven opportunities, Bearman said. It’s time to rework the data warehouse architecture format. Must-haves include: Real-time updates: ...

Infobright’s quest began in September o2008 when the company open-sourced its commercial column-oriented data warehouse. At the time it had eight customers but today has more than 50, including ...

Airlines are following other industries into warehousing their valuable customer data in one place to make the best possible use of it to drive loyalty and improve ...

Data Warehousing Special Report: Data quality and the bottom line. By Wayne W. Eckerson; May 1, 2002; During the past 50 years, the developed world has moved from an industrial economy to an ...