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BI Journal V21N2 cover image

Business Intelligence Journal | Vol. 21, No. 2
TDWI Member Exclusive

June 13, 2016

Customers are constantly looking for what’s fresh, what’s innovative—what’s new. In this issue of the Business Intelligence Journal we look at what’s new in the enterprise for BI: new cultures and mindsets, new technologies, and new ways of working.


Ten Mistakes to Avoid in Data Storytelling
TDWI Member Exclusive

May 5, 2016

 

By Dave Wells

Data storytelling takes the next step beyond data visualization by connecting multiple visuals with narrative, offering interpretation, and inviting conversation. Crafting a good data story, however, is challenging. This Ten Mistakes to Avoid offers guidance to advance your storytelling skills and increase the impact of your data stories.


2016 Salary Roles and Responsiblities report cover image

2016 TDWI Salary, Roles, and Responsibilities Report
TDWI Member Exclusive

March 14, 2016

  The gender gap in wages saw a dramatic narrowing in 2015, as women’s average salary rose by 1 percent and men’s dropped by 4 percent. Read more in the 2016 TDWI Salary, Roles, and Responsibilities Report.


BI Journal V21N1 Cover Image

Business Intelligence Journal | Vol. 21, No. 1
TDWI Member Exclusive

March 11, 2016

If your enterprise isn’t always looking for better ways to do things, you won’t move or stay ahead. In this issue of the Business Intelligence Journal we look at companies and the moves they’re making, as well as moves you can make in your own environment.


Ten Mistakes to Avoid In Preparing for IoT Analytics
TDWI Member Exclusive

March 7, 2016

 

By Fern Halper and Asim Razvi

The Internet of Things (IoT)—a network of connected devices that can send and receive data over the Internet—is a hot market topic. Although many companies are excited about the possibility of improving operational efficiencies and driving new business models with IoT, this Ten Mistakes to Avoid identifies important factors to consider when getting ready for IoT analytics projects.


Business Intelligence Journal | Vol. 20, No. 4
TDWI Member Exclusive

December 7, 2015

  Getting in while getting it right. That’s the focus of this issue of the Business Intelligence Journal.


Ten Mistakes to Avoid When Deploying Visual BI and Analytics for Business Decisions
TDWI Member Exclusive

November 9, 2015

 

By David Stodder

Data visualization, data discovery, and analytics technologies are rapidly maturing and are becoming easier to use. However, success with these technologies is not as simple as just turning them on. This Ten Mistakes to Avoid identifies important factors in the success or failure of visual BI and analytics deployment and recommends practices for addressing them.


Business Intelligence Journal | Vol. 20, No. 3
TDWI Member Exclusive

September 14, 2015

  When you face a problem, do you look for innovative solutions? Do you look for new ways to think about an issue, think about new methods or technologies, or consider new approaches to getting the work done? Download this issue of the Business Intelligence Journal to examine several innovative ways to tackle problems and look at some of the innovation solutions that may help you solve some of the BI user’s biggest problems.


2015 TDWI BI Benchmark Report: Organizational and Performance Metrics for Business Intelligence Teams
TDWI Member Exclusive

September 4, 2015

 TDWI’s annual BI Benchmark Report enables business intelligence (BI) teams to compare themselves to their peers on a series of organizational and performance metrics. The 2015 BI Benchmark Report is based on a Web survey of 259 BI professionals conducted worldwide in spring and early summer 2015.


Ten Mistakes to Avoid In Predictive Analytics Efforts
TDWI Member Exclusive

August 5, 2015

 

By Fern Halper

TDWI research indicates that predictive analytics is one of the most popular kinds of advanced analytics. Although many companies are excited about the possibility of utilizing predictive analytics, there are a number of interrelated themes about what not to do when it comes to predictive analytics projects.


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