Download TDWI Infographics for illustrated snapshots of the latest pertinent findings and vital statistics from TDWI Research. Then access the associated Best Practices Reports for more in-depth information on how to take advantage of these trends in your organization.
August 16, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. In the recent TDWI Best Practices Report: Improving Data Preparation for Business Analytics, we take a look at experiences with data preparation, discuss goals and objectives, and uncover how to take advantage of the rapidly evolving technology and self-service capabilities that allow business users to realize insights from data faster. Here are several of the key survey results.
April 22, 2016
No matter the vintage or sophistication of your organization’s data warehouse (DW) and the environment around it, it probably needs to be modernized to remain competitive, relevant, growing, and aligned with new business and technology requirements. User organizations, however, struggle to understand the trends and take the right action. In the recent TDWI Best Practices Report: Data Warehouse Modernization in the Age of Big Data Analytics, we take a look at the many issues and categories of modernization in data warehouse environments (DWEs), plus the strategies, methods, and enabling technologies that lead to success. Here are several of the key survey results.
February 5, 2016
Forward-looking organizations are beginning to take action on their data by systematically operationalizing and embedding their analytics—that is, integrating actionable insights into systems and business processes used to make decisions. In the recent TDWI Best Practices Report Operationalizing and Embedding Analytics for Action, we explore current strategies, challenges, and future trends for embedded analytics across both organizational and technical dimensions. Here are several of the key survey results.
November 16, 2015
New and exciting technologies, tools, development methods, big data sources, and best practices—collectively called emerging technologies and methods (ETMs)—are changing the fields of enterprises’ business intelligence, analytics, data warehousing, and data management. In the recent TDWI Best Practices Report Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing, we explore what’s hot and what enterprises are planning to use. Here are several of the key survey results.
August 21, 2015
Visual analytics can help business users become more productive with data by using software to integrate data analytics with modern, graphical ways of expressing information. Where are users succeeding with BI and analytics, and where can visual analytics improve their decisions? TDWI’s recent Best Practices Report, Visual Analytics for Making Smarter Decisions Faster, found these survey results.
May 7, 2015
Enterprises are increasingly recognizing the importance of Hadoop to their data strategy success: only 34 percent of survey respondents said Hadoop was not a pressing issue. What’s driving the push to Hadoop, how are enterprises planning to use it, and once adopted, who uses Hadoop and where is it employed? TDWI’s recent Best Practices report, Hadoop for the Enterprise, revealed these survey results.
February 27, 2015
How are organizations using next-generation analytics and what are their plans for future
analytics? This collection of figures offers examples of both the analytics and the infrastructure
necessary for next-generation analytics: who’s using the technology, how they are using it, and
what they will be analyzing in the future.
October 16, 2014
User organizations continue to push their applications for business intelligence (BI), analytics, and data management closer to real-time operation. They realize that fresh information can support fast-paced, time-sensitive business processes, such as operational BI, real-time management dashboards, just-in-time inventory, and facility monitoring.
July 17, 2014
IT’s role in business intelligence (BI) and analytics remains vital, but the spotlight today is on “business-driven” BI and analytics. The trend is driven by easier-to-use technologies as well as strong business user interest in driving more of their decisions and actions with data.
May 30, 2014
Data warehouse architecture is more critical than ever in order to make sense of, govern, and optimize the complicated multi-platform DW environments that many user organizations are building.