RESEARCH & RESOURCES

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.


TDWI Checklist Report | Moving Beyond Spreadsheets: Six Steps for Enabling Small and Midsize Businesses to Gain Data Insights

August 1, 2014

This TDWI Checklist Report details six areas where small and midsize businesses (SMBs) should focus as they move beyond spreadsheets to improve capabilities for gaining data insights.


TDWI Checklist Report | Applying Analytics with Big Data for Customer Intelligence: Seven Steps to Success

July 15, 2014

Big data analytics is about applying advanced methods and technologies to derive insights from very large and diverse data sets that often include varied data types and streaming data. This TDWI Checklist Report discusses steps for realizing value from big data and analytics for better customer intelligence.


TDWI Checklist Report | Adopting Next-Generation Data Technologies

June 26, 2014

Tools from new vendors incorporating new big data technologies (such as Hadoop) for distributed and parallel computing and NoSQL data management are rapidly being evaluated and brought into organizations. At the same time, numerous vendors of traditional platforms are offering the same or similar new technologies that are more robust and have more enterprise-ready capabilities than the new technologies can provide. This Checklist Report offers several important items to consider for your data management infrastructure, whether your implementation is on-premises, in the cloud, or a hybrid.


TDWI Checklist Report | Using Streaming Analytics for Continuous Operational Intelligence

May 30, 2014

This TDWI Checklist Report examines the user best practices and vendor tool functions for analyzing streaming data, with a focus on those that enable new applications in continuous operational intelligence.


TDWI Checklist Report | Seven Tips for Unified MDM with Data Quality and Data Governance

May 13, 2014

Master data management (MDM) can be practiced many different ways, with various user conventions and a broad array of vendor-built technologies. However, this report focuses on a specific practice called unified MDM, and examines the characteristics typical of business programs and technical solutions for unified MDM.


TDWI Checklist Report | Active Data Archiving for Big Data, Compliance, and Analytics

May 6, 2014

Users must start planning today for active data archiving. To help them prepare, this TDWI Checklist report will drill into the desirable attributes, use cases, user best practices, and enabling technologies of active data archiving.


TDWI Checklist Report | Eight Steps for Using Analytics to Gain Value from Text and Unstructured Content

April 28, 2014

Following TDWI’s previous Checklist Report on this topic, How to Gain Insight from Text, this Checklist discusses the relevance of text analytics for improving user experiences with the semi-structured and unstructured textual big data now at their disposal.


TDWI Checklist Report: Using Next-Generation Analytics to Gain Value from Enterprise Reports

TDWI Checklist Report | Using Next-Generation Analytics to Gain Value from Enterprise Reports: Six Best Practices

April 9, 2014

New techniques are emerging to help business analysts automate the extraction of information from reports stored in enterprise content management systems and use it for analysis. This Checklist Report focuses on helping organizations understand how to get started with report analysis.


TDWI Checklist Report | Eight Considerations for Utilizing Big Data Analytics with Hadoop

March 10, 2014

As enterprises look to embrace big data and Hadoop, they have numerous questions about data preparation, visualization, available analytical techniques, in-memory processing, and more. This Checklist Report focuses on these questions and provides information to help you explore big data analytics with Hadoop.


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