- November 05, 2010
Learn about data governance roles and responsibilities, and get advice on the management and technical skills that a successful data governance strategy and program requires.
- November 02, 2010
Implementing a data governance model and managing a data governance program are challenging propositions. Learn about common data governance hurdles and how to overcome them.
- November 01, 2010
Get expert advice on data governance best practices, including tips on how to structure a data governance program to best fit your organization’s governance policies and needs.
- October 28, 2010
Learn about the issues that a data governance framework is designed to address, and get a list of questions to consider when designing the framework for a data governance program.
- August 30, 2010
Get expert tips on calculating data quality metrics to document the financial impact of poor data quality and help build a business case for a data quality improvement program.
- August 27, 2010
Data governance programs are often overlooked, pushed aside and just plain ignored through a lack of executive interest and funding. But some technology professionals are making the most of the situation.
- July 20, 2010
Get expert advice on how to set up and manage a data governance policy and framework. Hear an overview of data governance trends and common roadblocks on data governance programs.
- April 22, 2010
Data stewardship and data governance are key to successful master data management (MDM) projects in operational ERP environments, according to Gartner.
- January 06, 2010
Managing a data management team is just as important as managing the underlying technology. Get tips for managing data management staff from Baseline Consulting's Dave Gilbert.
- December 14, 2009
Embarking on a master data management (MDM) project? Get an expert's tips for the MDM requirements gathering process and ensure MDM implementation success.
- November 12, 2009
The open source data quality market is still in its infancy, but a handful of vendors offer adequate data profiling software, according to Gartner.
- July 22, 2009
By placing the analytic logic inside the data warehouse, in-database technology, including open source MapReduce, can quickly process large sets of Web-based data.
- July 02, 2009
Learn how to compare and select a master data management (MDM) vendor. Hear about common MDM mistakes, how to write a streamlined vendor request for proposal (RFP) and how to evaluate customer reference letters.
- June 22, 2009
No business intelligence or master data management initiative should start without a well-designed data model to guide the project.
- June 09, 2009
Before embarking on a master data management (MDM) initiative, organizations must lay the foundation for success, including developing data governance rules and business-centric metrics to measure results.
- June 09, 2009
Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model.
- April 13, 2009
Open source data integration tools and software could be the best choice for companies looking to keep costs low in standard extract, transform and load (ETL) scenarios.
- March 30, 2009
Data federation software, which integrates data straight from the source, can help fill the gaps left by fragmented departmental data warehouses.
- March 04, 2009
Master data tables seem to be particularly sensitive to the limits of normalization, and Malcolm Chisholm believes that a reflexive attachment to normalization can be counterproductive.
- February 25, 2009
Jeff Pettit explains how to reap the benefits of highly productive data for years to come.
- February 17, 2009
The hard reality is that always problematic and often costly data anomalies do exist. Will Dwinnell explains why it is helpful to have a tool to automatically ferret out a substantial fraction of those anomalies.
- January 26, 2009
Forrester Research's Rob Karel reveals his tips for starting a master data management (MDM) initiative, including how and when to start evaluating vendors.
- November 06, 2008
Bill Inmon provides a review of the factors that motivate organizations to build corporate data warehouses.
- November 05, 2008
Listen to IBM's Steve Mills discuss Big Blue's Information On Demand initiative and why he thinks it's in a better position to help customers than rival Oracle.
- October 30, 2008
Bill Inmon looks at dormant data in the data warehouse and provides suggestions for addressing data warehouse performance.
- July 21, 2008
Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.
- June 05, 2008
An effective master data management project starts with managing people and processes, including data governance. The technology is secondary.
- May 27, 2008
Data quality problems can't be fixed until they are identified. Learn how a data quality assessment can help pinpoint data quality problems.
- May 08, 2008
"Do you remember the spread of data warehousing through the public and then private sectors? The IPO of Prism Solutions? This article takes a look at the history of ETL and provides a glimpse into ETL's future."
- April 30, 2008
The role of data warehousing is changing as companies move toward using new business intelligence approaches.
- April 10, 2008
Richard Winter provides observations on the causes and effects of the explosion of digital information.
- March 15, 2008
There are many different kinds of standardizations that can be applied to data, especially individual data.
- January 22, 2008
Active data warehousing brings business intelligence to more operational decision-making processes. Find out how, and why, active data warehouses enable competitive advantages.
- January 10, 2008
A business case for data modeling requires using the levers of better data quality, improved applications and reduced data management costs.
- December 20, 2007
There are several approaches for data modeling to ensure that the length of time spent in model development is appropriate for the organization.
- December 11, 2007
Putting together a comprehensive data migration plan now can help firms avoid serious downtime later, according to experts.
- November 28, 2007
Nationwide Insurance shares master data management (MDM) best practices in this case study podcast and provides an architectural diagram.
- October 24, 2007
Rick Sherman explains the three styles of master data management (MDM) -- operational, analytical and enterprise - and how to select a style and get started.
- October 11, 2007
Quality assurance in a data warehouse/business intelligence environment requires testing of the population process, not the user interface provided by the tool vendor.
- October 11, 2007
Is a data warehouse really necessary? What business requirements indicate the need for a data warehouse?
- September 20, 2007
Carried to an extreme, quality can be a real enemy to progress.
- September 13, 2007
This article introduces Lowell Fryman's Metadata Expert Channel where he will provide insights and solutions on the capture, governance, management, usage, and dissemination of metadata to enhance your organization's knowledge and effectiveness.
- August 30, 2007
The exploration warehouse is a physically separate data warehouse designed to provide a place for statisticians to do processing as frequently as desired, without impacting the regular users of the data warehouse.
- July 18, 2007
Data governance, or lack thereof, can make or break many enterprise programs. Learn data governance program success factors and get advice in a podcast with expert Jill Dyché.
- June 21, 2007
This article considers two challenging aspects of enterprise information management: key data entity ownership and data quality management.
- May 15, 2007
SearchDataManagement.com's growing collection of podcasts features conversations about many aspects of data management, including business intelligence (BI), enterprise data integration (EDI), master data management (MDM), and data quality and ...
- April 03, 2007
A major focus for retailers is getting a better understanding of the behavior of their customers. Learn how to build a customer-centric data warehouse from key analytic and data subject areas.
- February 08, 2007
This article covers the stages of data warehousing from the data mart through the enterprise data warehouse.
- January 24, 2007
Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy.
- December 19, 2006
This article is a continuation in the series on enterprise architecture.
- December 18, 2006
Manually verifying data accuracy is bound to introduce errors. Therefore, sampling can be used to derive some conclusions about a large body of information by selecting a smaller number of instances for the purposes of inferencing.
- November 27, 2006
In a business intelligence environment, the master data documents how business information has changed over time, and this historical master data can be combined with other historical business transaction data to produce analytical reports.
- November 17, 2006
Gartner predicts that 90% of organizations will fail at their first attempts at data governance. An analyst outlines a data governance structure that includes checks and balances.
- October 26, 2006
The purpose of this series is to present and discuss unstructured and semi-structured data as it relates to DW 2.0 - the architecture for the next generation of data warehousing.
- October 03, 2006
Walt Disney and his Magic Kingdom can serve as sources of inspiration for data warehousing adventures. The two have more in common than you might think.
- September 26, 2006
A metadata-driven methodology for EDM allows all components to share information about the data as it moves through its life cycle, thereby enabling consistency, accountability and true control of data assets.
- September 21, 2006
Data confidence, a critical management success factor, is not automatic. How do you attain it?
- August 10, 2006
The data model has long been recognized as one of the essentials in the structured environment, but do we need a data model for the unstructured environment as well?
- August 02, 2006
Discover syntax differences between SQL Server and MySQL, code for a timestamp automation workaround and why it's important to keep your version of MySQL current.
- July 17, 2006
Confusion over the DBA's job description and their role in business often results in misusing their DBA job skills.
- July 14, 2006
Database management best practices involve optimizing people, processes and products. Get specific actions and expert tips.
- July 05, 2006
Master data management's early adopters share best practices and potential pitfalls.
- May 16, 2006
Use your retail data warehouse to get a view of your business from the perspective of your customers.
- March 28, 2006
Bioinformatic tools aid in the design of novel drug compounds.
- March 16, 2006
The new architecture for data warehousing addresses mission-critical areas.
- March 14, 2006
Oracle's newly released free SQL Developer could spell trouble for Quest Software Inc.'s popular Toad for Oracle software.
- February 22, 2006
Over the past year, master data management has become a topic of interest to CIOs seeking to rationalize their enterprise information architectures. What is master data management? And what role can DB2 play in making master data management a ...
- February 09, 2006
The SOX software market is still emerging and the picture remains murky -- so buyers beware.
- December 06, 2005
Legislative & regulatory initiatives can now drive financial institutions to aggregate data and build data management infrastructures on a much larger scale.
- November 28, 2005
Early adopters tend to pay the price for kinks not yet worked out of new technology products. But SQL Server 2005 is not entirely new and may not need to be treated as such, says Edgewood Solutions' Greg Robidoux. He explains the benefits and risks ...
- November 15, 2005
SQL Server 2005 embodies Microsoft's ambitions toward the larger enterprise database management market. Sybase, Oracle and IBM have traditionally required more highly trained -- and higher priced -- administrators. Will SQL Server now need them, too?
- November 07, 2005
SQL Server 2005 is ready to go, but applications that make the most of its new features may take some time to reach the market.
- September 22, 2005
The database is the precursor of the data warehouse and data mart, with its future pointing to unstructured data and archival and nearline processing.
- August 18, 2005
There is a case to be made for management to process and react to data slowly, not quickly.
- June 30, 2005
The data warehouse is not the ideal data environment for the statistician.
- June 30, 2005
There are 10 ways to prepare for those auditors knocking at your door -- and avoid wasting time and money.
- April 14, 2005
This last article will summarize our key debate points. reader feedback and answers to questions that have been received will be published in the blog.
- March 22, 2005
With a Data Governance Entity in place and quality raised as a top-tier issue, the question now becomes how to fix data quality problems.
- March 09, 2005
Inmon Vs. Kimball--Differences Between Industry Titans.
- February 16, 2005
Craig Mullins offers tips for DBA staffing.
- February 15, 2005
Craig Mullins contemplates the role of open source database systems in the enterprise.
- February 09, 2005
A Continental Airlines business intelligence project brought together 15 data warehouse developers in a mission that seemed impossible, but resulted in more revenues, less waste and higher customer satisfaction.
- January 06, 2005
Surprisingly, Data Warehouses have been slow to be adopted in the government circles.
- November 09, 2004
This CIF architecture acts as a road map or plan guiding the IT developer in implementing a Business Intelligence environment.
- October 25, 2004
This article describes how business intelligence applications enable organizations to meet the onslaught of demands for current and accurate information on performance, quality, safety, efficiency, effectiveness and, of course, costs.
- July 19, 2004
New and powerful tools will help load and refine information, but you must still develop a strategy to build the optimal data warehouse to use them.
- May 20, 2004