News, Analysis and Opinion for Data Management - Page 5

November 05, 2010 05 Nov'10

Data governance roles and responsibilities call for diverse skill sets

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 02 Nov'10

Common challenges in creating a data governance model and program

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 01 Nov'10

Data governance best practices: setting up a data governance program

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 28 Oct'10

Building a data governance framework: governance processes and issues

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 30 Aug'10

Using data quality metrics to build a data quality business case

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 27 Aug'10

Increase the success of data governance programs from the bottom up

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 20 Jul'10

Tips on creating a data governance policy, framework for your company

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 22 Apr'10

Focus on data stewardship, governance for successful ERP MDM projects

Data stewardship and data governance are key to successful master data management (MDM) projects in operational ERP environments, according to Gartner.

January 06, 2010 06 Jan'10

Tips for managing a data management team

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 14 Dec'09

Tips for a master data management (MDM) requirements gathering process

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 12 Nov'09

Gartner: Open source data quality software focuses on data profiling

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 22 Jul'09

What does MapReduce and in-database technology mean for data warehouses?

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 02 Jul'09

Evaluating and selecting a master data management (MDM) vendor

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 22 Jun'09

Data models serve as blueprint for business intelligence, master data management projects

No business intelligence or master data management initiative should start without a well-designed data model to guide the project.

June 09, 2009 09 Jun'09

MDM building blocks from Gartner: governance, metrics key to success

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 09 Jun'09

Data warehouse architecture: Beyond hub-and-spoke

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 13 Apr'09

Open source data integration tools good choice for 'standard' ETL jobs

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 30 Mar'09

Data federation technology complements fragmented data warehouses

Data federation software, which integrates data straight from the source, can help fill the gaps left by fragmented departmental data warehouses.

March 04, 2009 04 Mar'09

Normalization is Impractical for Master Data

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 25 Feb'09

Data quality management roadmap

Jeff Pettit explains how to reap the benefits of highly productive data for years to come.

February 17, 2009 17 Feb'09

Data Cleansing

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 26 Jan'09

How to get started with master data management

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 06 Nov'08

Motivations for building the data warehouse

Bill Inmon provides a review of the factors that motivate organizations to build corporate data warehouses.

November 05, 2008 05 Nov'08

Exec explains IBM's Information On Demand (IOD) initiative

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 30 Oct'08

Monitoring the data warehouse

Bill Inmon looks at dormant data in the data warehouse and provides suggestions for addressing data warehouse performance.

July 21, 2008 21 Jul'08

Creating successful data stewardship programs, with Jill Dyché

Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.

June 05, 2008 05 Jun'08

Master data management must start with data governance

An effective master data management project starts with managing people and processes, including data governance. The technology is secondary.

May 27, 2008 27 May'08

Data quality assessment helps identify, fix data quality problems

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 08 May'08

A brief history of ETL

"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 30 Apr'08

Is Data Warehousing Essential to Business Intelligence?

The role of data warehousing is changing as companies move toward using new business intelligence approaches.

April 10, 2008 10 Apr'08

Why Are Data Warehouses Growing So Fast?

Richard Winter provides observations on the causes and effects of the explosion of digital information.

March 15, 2008 15 Mar'08

The simplicity and complexity of person name standardization

There are many different kinds of standardizations that can be applied to data, especially individual data.

January 22, 2008 22 Jan'08

Active data warehousing explained and examined

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 10 Jan'08

Building a business case for data modeling

A business case for data modeling requires using the levers of better data quality, improved applications and reduced data management costs.

December 20, 2007 20 Dec'07

How long should the data model take?

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 11 Dec'07

Data migration planning: Key things to remember

Putting together a comprehensive data migration plan now can help firms avoid serious downtime later, according to experts.

November 28, 2007 28 Nov'07

Nationwide Insurance implements master data management program

Nationwide Insurance shares master data management (MDM) best practices in this case study podcast and provides an architectural diagram.

October 24, 2007 24 Oct'07

Understanding master data management (MDM) implementation styles

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 11 Oct'07

Software Quality Assurance in a Data Warehouse/Business Intelligence Environment

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 11 Oct'07

Data warehouses and scalability

Is a data warehouse really necessary? What business requirements indicate the need for a data warehouse?

September 20, 2007 20 Sep'07

Quality goals for data warehousing

Carried to an extreme, quality can be a real enemy to progress.

September 13, 2007 13 Sep'07

What is metadata? Solutions for leveraging technical and business metadata

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 30 Aug'07

The exploration warehouse

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 18 Jul'07

Data governance: How to get started and find success, featuring Jill Dyché

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 21 Jun'07

Key Data Entities and Data Governance

This article considers two challenging aspects of enterprise information management: key data entity ownership and data quality management.

May 15, 2007 15 May'07

Data management podcast library

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 03 Apr'07

Building a Customer-Centric Data Warehouse

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 08 Feb'07

Different stages of data warehouse maturity

This article covers the stages of data warehousing from the data mart through the enterprise data warehouse.

January 24, 2007 24 Jan'07

Data quality trends, with expert Larry English

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 19 Dec'06

Enterprise Architecture in Banking

This article is a continuation in the series on enterprise architecture.

December 18, 2006 18 Dec'06

Accuracy, Sampling and the Accuracy of Sampling

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 27 Nov'06

The relationship between master data and business intelligence analytical processing

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 17 Nov'06

Data governance requires checks and balances, Gartner says

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 26 Oct'06

The Nature of Unstructured and Semi-Structured Data, Part 1

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 03 Oct'06

Lessons in Data Warehousing from Walt Disney and His Magic Kingdom

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 26 Sep'06

Metadata-Driven Enterprise Data Management – Future or Fantasy?

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 21 Sep'06

Data confidence

Data confidence, a critical management success factor, is not automatic. How do you attain it?

August 10, 2006 10 Aug'06

Data modeling and unstructured data

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 02 Aug'06

SQL Server vs. MySQL: Syntax differences, similar GUIs

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 17 Jul'06

Understanding the DBA job description: Database administrator's roles and responsibilities

Confusion over the DBA's job description and their role in business often results in misusing their DBA job skills.

July 14, 2006 14 Jul'06

Database management best practices: Expert tips for improving DBMS infrastructures

Database management best practices involve optimizing people, processes and products. Get specific actions and expert tips.

July 05, 2006 05 Jul'06

Seven master data management best practices

Master data management's early adopters share best practices and potential pitfalls.

May 16, 2006 16 May'06

Retail Data Warehouse

Use your retail data warehouse to get a view of your business from the perspective of your customers.

March 28, 2006 28 Mar'06

Bioinformatics in Structure-Based Drug Design

Bioinformatic tools aid in the design of novel drug compounds.

March 16, 2006 16 Mar'06

An introduction to DW2.0

The new architecture for data warehousing addresses mission-critical areas.

March 14, 2006 14 Mar'06

Can Toad for Oracle compete against Oracle's free SQL Developer?

Oracle's newly released free SQL Developer could spell trouble for Quest Software Inc.'s popular Toad for Oracle software.

February 22, 2006 22 Feb'06

IBM DB2 and Master Data Management

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 09 Feb'06

Spending on Sarbanes-Oxley software climbs

The SOX software market is still emerging and the picture remains murky -- so buyers beware.

December 06, 2005 06 Dec'05

Certified Data and the Certification Process for Financial Institutions

Legislative & regulatory initiatives can now drive financial institutions to aggregate data and build data management infrastructures on a much larger scale.

November 28, 2005 28 Nov'05

SQL Server 2005: To be or not to be an early adopter

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 15 Nov'05