RESEARCH & RESOURCES

TDWI Best Practices Reports

TDWI’s Best Practices Reports are designed to educate technical and business professionals about new business intelligence technologies, concepts, or approaches that address a significant problem or issue. Research for the Best Practices Reports is conducted via interviews with industry experts and leading-edge user companies, and is supplemented by a survey of business intelligence professionals.


TDWI Best Practices Report: Next Generation Master Data Management

TDWI Best Practices Report | Next Generation Master Data Management

April 2, 2012

Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. This report accelerates users’ understanding of the many new user best practices, solutions, and tools that have emerged as next generation MDM. It also helps readers map their options to real-world use cases and develop a strategy for MDM.


Big Data Analytics

TDWI Best Practices Report | Big Data Analytics

September 14, 2011

Big data analytics is the intersection of two technical entities that have come together. First, there’s big data for massive amounts of detailed information. Second, there’s advanced analytics, which can include predictive analytics, data mining, statistics, artificial intelligence, natural language processing, and so on. Put them together and you get big data analytics, the hottest new practice in BI.


Self-Service Business Intelligence

TDWI Best Practices Report | Self-Service Business Intelligence: Empowering Users to Generate Insights

July 1, 2011

In today's economic environment, organizations must use business intelligence (BI) to make smarter, faster decisions. Yet, in too many organizations, decisions are still not based on business intelligence because of the inability to keep up with demand for information and analytics. To satisfy this demand, one approach involves setting up a self-service BI (SS BI) environment.


Next Generation Data Integration

TDWI Best Practices Report | Next Generation Data Integration

April 1, 2011

Data integration (DI) has undergone an impressive evolution in recent years. Today, DI is a rich set of powerful techniques, including ETL (extract, transform, and load), data federation, replication, synchronization, changed data capture, data quality, master data management, natural language processing, business-to-business data exchange, and more. This report brings readers up to date on all that's happening in this exciting arena of data management.


Visual Reporting and Analysis

TDWI Best Practices Report | Visual Reporting and Analysis: Seeing Is Knowing

January 3, 2011

Data visualization is increasingly an essential element of business intelligence (BI). No longer restricted to specialized applications, data visualization in the form of charts, maps, and other graphical representations is enabling business users to better understand data and use it to achieve tactical and strategic objectives.


Operational Data Warehousing

TDWI Best Practices Report | Operational Data Warehousing: The Integration of Operational Applications and Data Warehouses

October 1, 2010

This report gives readers a jump-start on their journey toward operational data warehousing by describing its enabling technologies and real-world business use cases, providing useful planning information for both business and technical managers.


TDWI Best Practices Report Q3 2010

TDWI Best Practices Report | BI on a Limited Budget: Strategies for Doing More with Less

July 1, 2010

The current economic downturn has accentuated the need among business intelligence (BI) teams to do “more with less.” With budgets cut or flat, most BI teams have been forced to innovate and find new ways to deliver projects more efficiently.


TDWI Best Practices Report Q2 2010

TDWI Best Practices Report | Unified Data Management: A Collaboration of Data Disciplines and Business Strategies

April 1, 2010

In most organizations today, data and other information are managed in isolated silos by independent teams using various data management tools for data quality, data integration, data governance and stewardship, metadata and master data management, B2B data exchange, content management, database administration and architecture, information lifecycle management, and so on. In response to this situation, some organizations are adopting what TDWI calls unified data management (UDM), a practice that holistically coordinates teams and integrates tools. Other common names for this practice include enterprise data management and enterprise information management. Regardless of what you call it, the “big picture” that results from bringing diverse data disciplines together yields several benefits, such as cross-system data standards, cross-tool architectures, cross-team design and development synergies, leveraging data as an organizational asset, and assuring data’s integrity and lineage as it travels across multiple organizations and technology platforms.


TDWI Best Practices Report Q1 2010

TDWI Best Practices Report | Transforming Finance: How CFOs Use Business Intelligence to Turn Finance from Record Keepers to Strategic Advisors

January 1, 2010

The finance department sits at the information nexus of the organization. It regularly collects financial and non-financial data from every business unit and consolidates that information into summary and detailed management reports. Finance can therefore be a powerful agent of organizational change. It can leverage the information that it collects to assist executives and line of business managers to optimize processes, achieve goals, avert problems, and make decisions.


TDWI Membership

Get immediate access to training discounts, video library, BI Teams, Skills, Budget Report, and more

Individual, Student, & Team memberships available.