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.
Sponsored By HP
January 4, 2013
The information that flows from BI, analytics, and data warehousing systems can help organizations find a decision-making balance that avoids the extremes of snap decisions and rigid processes. This new survey-based research report examines benefits, barriers, technology solutions, and recommendations for achieving greater agility with business intelligence.
Sponsored By Attivio, Informatica Corporation, Jaspersoft, MicroStrategy, SAP, Tableau Software, WhereScape
December 7, 2012
By Dave Wells
Data is an essential business resource that is as critical to business success as financial and human resources are. The disciplines of data resource management include strategy, architecture, and governance. Mistakes to avoid in data resource management span all three disciplines.
November 15, 2012
Download this TDWI E-Book to find out why turning business people into self-empowered “analytic explorers” involves more than just equipping them with discovery tools and turning them loose on massive data sets.
Sponsored By SAP, WCI Consulting
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.
Sponsored By Tableau Software
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.
Sponsored By SAS Dataflux
July 2, 2012
Customer analytics and intelligence initiatives are undergoing major changes with the explosion in detailed customer behavior data, including that generated by social media. Today, organizations implement a variety of technologies to analyze customer data, including business intelligence (BI) tools, data warehouses, analytic databases, predictive analytics, and more. This report examines organizations’ experiences with customer analytics technologies in the age of social media and recommend best practices for improving customer intelligence and reaching customer-centric goals.
Sponsored By Greenplum, IBM, Informatica Corporation, SAP, SAS, Tableau Software, Teradata Aster, Vertica