Job Description

Data Stewards manage data quality issues by identifying problems that users run into and then putting in place mechanisms to address them. They safeguard data both On-Premise and within the Cloud.

Solution Set

Many enterprises are unfamiliar with the benefits of data integration tools. Use this research to get a handle on how you can best integrate diverse source data, and which software vendors will help you manage your data.

Solution Set

Business Intelligence (BI) has changed in the last ten years. Learn what's new and what could make your BI platform more successful.

Note

Enterprise-sized organizations have a different set of criteria for BI solution selection than their small to medium-sized counterparts. Organizations must carefully assess their needs and limitations for business analytics to ensure their BI...

Note

Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality.

Solution Set

This solution set will help you understand the causes of data quality problems and provide strategies to fix the causes of data quality problems, and not just address the symptoms.

Tool

The first step to improving data quality is to conduct an audit of prevalent data quality problems are in the organization. There are five key types of data quality problems, ranging from duplicate data to conflicting data.

Tool

Developing policies and procedures is an important step for improving data quality. IT and business users need to clearly understanding who is accountable for what data. Policies such as refresh cycles and system-of-record are essential for...

Video

Data quality is a significant issue facing many organizations. Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality.

Solution Set

This solution set will provide a straight-forward mechanism to rate the magnitude of the data integration challenges you face and help you put a strategy and tactics in place for improvement immediately and going forward.

Note

Many mid-sized organizations live in a state of data chaos. While it's not a conscious decision, many sink themselves further into a messy data architecture by using insufficient tools, methods and processes. Understand the basics of data...

As a business develops, the number of point-to-point integrations grows to become a hopelessly tangled web of integrations. Data integration can bring order to data chaos to increase accuracy and consistency, decrease redundancies, and make...

Data governance is a vital component of any master data management strategy. The creation of a governance program depends upon executive sponsorship and gaining the support of key stakeholders. Develop a clear project strategy from the outset to...

Building or purchasing a Master Data Management (MDM) solution will not solve master data problems on its own. Employee behavior and organizational processes need to be changed first. Assemble a data governance group to drive the organizational...

For many organizations, transactional hub architecture represents the ideal Master Data Management (MDM) solution. However, it may not be possible or necessary for some environments given the cost and complexity of this project. When...

Service oriented architecture (SOA) promises to provide businesses with flexible applications that can be quickly adapted to meet evolving business. However, successful SOA projects must be built on a solid foundation of quality data. Solve data...

In the age of terabytes, effective data management is imperative to business success. Turn to data integration solutions to provide stakeholders, both internal and external, with a unified view of enterprise information in preparation for the...

Managing multiple enterprise data sources is painful, especially when they contain conflicting or incomplete information. Steps must be taken to reconcile the data sources and establish a master data set for reporting and analytics. To gain...

A critical component of any master data management (MDM) project is finding the appropriate architecture to support the solution. Making the right choice requires an understanding of the standard architectures and their associated benefits and...

Getting real value from a business intelligence (BI) application depends on feeding the system high quality data that can be trusted. Improve the return on a BI investment by instituting an analytical master data management (MDM) strategy.

Sage Software recently held its 2008 Insights conference for its channel partners. New ERP suite bundles were announced which target the SMB market and the strategic plan released in March, 2008 for the Sage CRM family (Sage SalesLogix, Sage CRM...

Microsoft recently held its annual "Convergence" conference, focused on its line of enterprise business applications. Important announcements were made concerning Microsoft Dynamics ERP and CRM products as well as a significant partnership...