Data warehousing
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News
17 Sep 2025
Techcombank wields data and AI to drive customer engagement
By unifying data on the Databricks platform, the Vietnam bank has built AI capabilities to deliver hyper-personalised offers to 15 million customers and expand its footprint beyond its traditional affluent base Continue Reading
By- Aaron Tan, Informa TechTarget
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News
20 Aug 2025
Without a data strategy, AI will just scale your chaos
Snowflake’s chief data analytics officer, Anahita Tafvizi, explains why a data strategy focused on governance, consistency and accuracy is the only way to build artificial intelligence that users will trust Continue Reading
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Feature
23 Apr 2012
Making money from data: Financial business intelligence at work
Finance professionals are heavy users of BI and predictive analytics software. Find out how a variety of European finance functionaries are analysing trends, cutting costs and finding new business. Continue Reading
By- Kristina West, Contributor
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Tip
14 Apr 2012
Inmon or Kimball: Which approach is suitable for your data warehouse?
Inmon versus Kimball is one of the biggest data modelling debates among data warehouse architects. Here is some help to select your own approach Continue Reading
By- Sansu George
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News
05 Dec 2011
'Big data' technologies emerge to battle large, complex data sets
‘Big data’ technologies that allow the storage, management and analysis of big data are on stream: NoSQL, Hadoop, MapReduce. Mark Whitehorn explains the reasons for their emergence and how they work. Continue Reading
By- Mark Whitehorn, University of Dundee
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News
17 Nov 2011
Sybase: Data warehousing too slow for ‘big data’ analytics
Sybase EMEA business development director speaks about ‘big data’ analytics’ need for speed and pronounces traditional data warehousing “antiquated.” Continue Reading
By- Brian McKenna, Enterprise Applications Editor
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News
10 Nov 2011
Royal Mail delivers enterprise master data management
The Royal Mail has delivered a master data management programme stemming from a new electronic data warehouse and BI initiative. Project team leaders claim a people-plus-technology synthesis. Continue Reading
By- Brian McKenna, Enterprise Applications Editor
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News
14 Oct 2011
BBC evolves digital asset management with Life
The BBC’s Life series marked an ongoing shift from film to digital media that is making the need for rigorous metadata and digital asset management in broadcast media more pressing. Continue Reading
By- Brian McKenna, Enterprise Applications Editor
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News
03 Aug 2011
Round table: the value of big data
Learn what our round table of experts thinks of the value and significance of “big data.” Continue Reading
By- SearchDataManagement.co.UK Round table
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Feature
12 Jul 2011
IT in Europe e-zine: Data Management & BI Edition
The benefits of effective data management and business intelligence are many; so are the challenges. Get practical information and advice on data management & BI strategies in the IT in Europe ezine. Continue Reading
By- SearchDataManagement.co.UK staff
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Tip
05 May 2011
6 data warehouse design mistakes to avoid
Although difficult, flawless data warehouse design is a must for a successful BI system. Avoid these six mistakes to make your data warehouse perfect. Continue Reading
By- Amit Agarwal
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News
12 Apr 2011
Teradata data warehouse joins SSD technology to HDDs, virtual storage
At Teradata Universe in Barcelona, the company announced the Active EDW 6680, a data warehouse system that mixes SSD technology, hard disks and storage virtualization software. Continue Reading
By- Mark Whitehorn, University of Dundee
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News
21 Mar 2011
When data goes bad: how data quality analysis can fix problems
How can data quality be improved for business benefit? Data quality is complex, and thrown into relief by the pressing requirement for analysis. Learn how to clean it up through data quality analysis. Continue Reading
By- Mark Whitehorn, University of Dundee
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Tip
08 Feb 2011
ETL tool buying guide
While procuring an extract, transform, and load (ETL) tool, your considerations should range from data formats, profiling, data quality to meta data support and more. Continue Reading
By- Dr. Pramod Singh
