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.
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.
December 7, 2015
Getting in while getting it right. That’s the focus of this issue of the Business Intelligence Journal.
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.
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.
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.
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.
June 15, 2015
It’s rare to be faced with a black or white, either/or choice. So it is, too, in this issue issue’s Experts’ Perspective column. Download the issue for our experts' varied approaches to a problem. Plus, examine the role of BI director; explore data warehouse design for big data; and read several use cases for big data analytics. In addition, Barry Devlin takes a new look at conceptual- and logical-level architectures.
May 11, 2015
By Philip Russom
You need a long-term strategy, documented in a governable plan, if MDM is to mature into rich functionality applied over much of your enterprise. This TDWI Ten Mistakes to Avoid booklet drills into the details of such plans.
March 16, 2015
Download this issue and learn which data-related technologies are attracting more interest in the age of big data; learn about the intersection of technologies that allow us to work with data in the cloud; find out whether big data spells the end of traditional data warehouse architecture; and more.