TDWI Checklist Reports
TDWI Checklist Reports provide an overview of success factors for a specific project in business intelligence, data warehousing, or a related data management discipline. Companies may use this overview to get organized before beginning a project or to identify goals and areas of improvement for current projects.
September 17, 2013
This TDWI Checklist Report takes a look at text analytics and how to get started with this new technology that can help you improve and gain new insight.
July 22, 2013
This TDWI Checklist Report drills into the many technologies and capabilities needed to make operational intelligence possible for a technology team and successful for a business.
July 22, 2013
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
June 17, 2013
This TDWI Checklist Report discusses how organizations can achieve greater agility with data quality projects through adjustments to data stewardship, business processes, and technical development methods. The report also looks at critical success factors for agile
data quality, such as tool features, team structures, self service, data-driven documentation, and data services.
March 27, 2013
This TDWI Checklist Report describes a BI environment and its attendant best practices that can greatly simplify executives’ access to big data and enhance their consumption of insights and metrics that come out of big data and similar data sets.
March 26, 2013
Trusted information is a critical success factor for any decision-making process that employs data warehousing, business intelligence, or business analytics. In this TDWI Checklist Report, we look at key tasks and activities that bolster the organization’s level of trust in information.
March 15, 2013
This TDWI Checklist Report details seven steps for successful visual analytics intended to help organizations develop strategies for improving actionable insight to a growing population of users.
March 1, 2013
The next generation of data integration seamlessly combines streamlined development with fully integrated
data accessibility, quality, and utility. This report presents a series of recommendations for developing a value justification for engaging business sponsors, as well as developing a strategic IT road map promoting the value of data architecture and data integration.
February 11, 2013
The challenge of integrating structured and unstructured data will be a key factor for big data success. This report examines key planning directives and helps scope best practices for integrating structured and unstructured data as critical tactical components of a modern information strategy.