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.
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.
October 16, 2012
Organizations today want to anchor daily and strategic decisions in a bedrock of solid, extensive, and timely analysis and reporting. Personal, self-service BI and analytics tools are now available that can give users more control over how they view and access the information they need to perform their roles in the enterprise. This TDWI Checklist Report details seven steps toward personal BI and analytics success.
October 4, 2012
This report presents a requirements checklist for analytic DBMSs with a focus on their use with big data. You will also learn definitions for the many techniques and tool types involved. The report will help you evaluate analytic databases and/or develop strategies for big data analytics.
September 26, 2012
This TDWI Checklist Report presents tips for aligning geospatial information with the business intelligence environment, empowering analytics to use location data to yield operational efficiencies, revenue growth, and other potential benefits.
September 5, 2012
This TDWI Checklist Report examines the business drivers and technology requirements for deploying operational analytics. The main objectives of the Checklist are to identify specific business benefits of operational analytics, review the ways these benefits can be achieved, and explain the potential trade-offs or IT costs involved.
August 29, 2012
There are good technology and business reasons why master data management needs data governance. This TDWI Checklist Report drills into seven of these reasons as well as use cases and organizational situations where DG and MDM work well together.
July 12, 2012
Ultimately, the effective utilization of predictive analytics is the goal-driven analysis of data to enhance business performance metrics. This TDWI Checklist Report examines the strategic steps that predictive analytics project teams must take in order to define, design, and implement successful projects.
June 27, 2012
Mounds of structured data, unstructured data, big data, and advancements in cloud technology are imposing new requirements for data integration. This TDWI Checklist Report will explore some of the key drivers these new requirements are intended to address. Whether you are looking to support the performance needs of big data applications, filter concepts from unstructured data, monitor hundreds of data feeds for unexpected behavior, export data across enterprise boundaries, or provide real-time reporting and analysis, there is a rapidly expanding need for data integration competency that extends well beyond traditional ETL.
May 9, 2012
This TDWI Checklist Report provides grounding for developing a strategic business intelligence (BI) plan for agility when adopting innovative data management and utilization techniques, while retaining a line of sight to corporate mission and corresponding business objectives.