Ten Mistakes to Avoid
The Ten Mistakes to Avoid series, published quarterly, addresses the 10 most common mistakes managers and teams make—from data modeling to building an operational data store—and gives you inside knowledge on how to avoid these common pitfalls. Ten Mistakes to Avoid is exclusively for TDWI Premium Members.
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January 31, 2017
By Fern Halper and Martin Pacino
Organizations are moving past traditional structured data and are embracing text data from emails, machine-generated data, and streaming data to enhance their analyses. Data science is an outgrowth of this of this evolution, but many companies are still in the early stages of their data science efforts. In this Ten Mistakes to Avoid, TDWI’s Fern Halper and Martin Pacino identify the mistakes most detrimental to building out a successful data science program.
November 3, 2016
By Nancy Williams and Steve Williams
The benefits of business intelligence—and now big data analytics—may be couched in different business terms, but there has to be a connection to increased profits if there is to be a return on a BI investment. This Ten Mistakes to Avoid examines some of the key, commonly encountered BI strategy challenges faced by major companies across a wide range of industries.
August 2, 2016
By William McKnight
For companies seeking to exploit data to their advantage, NoSQL is a perfect storm of need and solution. Nevertheless, its implementation isn't without hurdles. When reviewing successes and failures, it is clear that some good practices have been overlooked. This Ten Mistakes to Avoid identifies the mistakes with the biggest impact on NoSQL implementation success and recommends applicable solutions.
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.
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.
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.
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.
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.
February 18, 2015
By Krish Krishnan
In this Ten Mistakes to Avoid we identify the mistakes with the most negative impact on Hadoop implementations and recommend solutions you can apply to your own environment.
November 10, 2014
By David Stodder
This Ten Mistakes to Avoid focuses on helping organizations
ensure satisfaction as they democratize BI and analytics. It
recommends a balanced approach for meeting user needs while
addressing the necessities of data governance and management.