November 5, 2019
TDWI’s annual Teams, Skills, and Budgets Report enables business data and analytics teams to compare themselves to their peers on a series of organizational and performance metrics. This year’s report is based on a web survey of 113 BI professionals conducted worldwide in spring and early summer 2019.
October 21, 2019
As you embark on your BI modernization effort, you would do well to learn from companies that have successfully completed their own BI modernization projects—and even from companies that have failed in that regard. If you can avoid their pitfalls, you can ensure a successful BI modernization initiative.
September 13, 2019
This Ten Mistakes to Avoid focuses on helping organizations make the transition from on-premises data and analytics platforms to cloud-based deployments more efficiently and thoughtfully.
June 12, 2019
Despite enterprises' attempts to adjust to a rapidly changing business landscape, many of yesterday’s problems remain front and center. What worked in the past is often outdated today. In this issue, we focus on modern-day solutions for age-old problems, from staffing and executive support to teamwork and skills development.
May 10, 2019
This Ten Mistakes to Avoid focuses on helping organizations sidestep QA problems that many DW projects experienced.
March 8, 2019
This Ten Mistakes to Avoid focuses on key issues facing organizations as they determine strategies for generating value from IoT data.
February 27, 2019
In 2018, the average salary dropped for the first time since 2015, but nearly all individual employees saw their salaries rise from the previous year. Read more in the 2019 TDWI Salary, Roles, and Responsibilities Report.
January 22, 2019
This issue of the Business Intelligence Journal looks at a variety of ways that speed—speed of response through data sampling, speed of design through agile data governance, and more—can contribute to the health and welfare of your enterprise.
October 22, 2018
TDWI’s annual Teams, Skills, and Budgets Report (formerly known as the TDWI BI Benchmark Report) enables business data and analytics teams to compare themselves to their peers on a series of organizational and performance metrics. This year’s report is based on a Web survey of 158 BI professionals conducted worldwide in spring and early summer 2018.
October 2, 2018
The data lake came seemingly out of nowhere in 2016 and quickly became a common approach to capturing, managing, and presenting extremely large quantities of highly diverse data. Today, data lakes are in production in several data-driven business use cases, including modern data warehouse environments, analytics
programs, omnichannel marketing data ecosystems, and digital supply chains. Though data lakes are still quite new, TDWI has seen enough implementations to know what works and what doesn’t. And The mistakes of data lakes are mostly about mindset.