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.
June 25, 2014
Download this report to learn how business-side leadership can step up to ensure that chaos does not reign in the era of less direct IT involvement, and provide direction for the adoption of new technologies and practices for the betterment of the enterprise as a whole.
April 1, 2014
Download this report to learn about the evolution of data warehousing architectures thanks to major drivers such as big data, advanced analytics, and real-time operation.
December 20, 2013
Predictive analytics is a technology whose time has finally come. Download this report to learn recommendations and best practices for successfully implementing predictive analytics to accelerate business advantage.
October 1, 2013
This Best Practices Report examines how organizations are leveraging their big data assets, the challenges they face, future trends in user practices and vendor tools, and 10 priorities for the years ahead.
July 1, 2013
Good data visualization is critical to making smarter decisions and improving productivity. Download this report to learn how your organization can use data visualization, visual analytics, and data discovery to improve decision making, collaboration, and operational execution.
April 1, 2013
Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.
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.
October 1, 2012
In the age of "big data," high-performance data warehousing is primarily about achieving speed and scale while also coping with increasing complexity and concurrency. The tips and strategies presented in this research can help user organizations prioritize their acquisition of vendor tools and their adoption of design best practices.
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.