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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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Ten Mistakes to Avoid When Modernizing Your Business Intelligence Programs

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.


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Ten Mistakes to Avoid In Migrating Data and Analytics Platforms to Cloud Infrastructure
TDWI Member Exclusive

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.


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Ten Mistakes to Avoid in Test-Driven Data Warehouse Development
TDWI Member Exclusive

May 10, 2019

This Ten Mistakes to Avoid focuses on helping organizations sidestep QA problems that many DW projects experienced.


Ten Mistakes to Avoid

Ten Mistakes to Avoid for Better BI and Analytics with IoT Data
TDWI Member Exclusive

March 8, 2019

This Ten Mistakes to Avoid focuses on key issues facing organizations as they determine strategies for generating value from IoT data.


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Ten Mistakes to Avoid with Data Lakes
TDWI Member Exclusive

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.


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Ten Mistakes to Avoid When Implementing a Data Quality Strategy
TDWI Member Exclusive

July 13, 2018

 

By Patty Haines

Data quality is essential to getting more value from your organization’s data assets. Analysts, data scientists, and managers must know and understand the quality of the data they are using to make decisions and to set direction for their organizations if they are to make the best decisions.


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Ten Mistakes to Avoid When Operationalizing Data Governance
TDWI Member Exclusive

April 6, 2018

 

By David Loshin

Despite the reams of material describing how to develop a data governance program, many continue to struggle with implementing a sustainable program that measurably meets the business objectives. Vacuous data policies, ill-defined roles and responsibilities, missing procedures for implementation, and an excessive fascination with tools all impede real progress in fully internalizing a data governance program.


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Ten Mistakes to Avoid In an Agile BI Transformation
TDWI Member Exclusive

January 24, 2018

 

By Lynn Winterboer

With so many teams “going agile,” it’s important for your BI team to keep a few things in mind that will help your agile transformation go more smoothly. These 10 mistakes to avoid are the primary problems I’ve seen in BI agile transformations. Fortunately, agile approaches provide solutions that prevent you from making these mistakes.


Ten Mistakes to Avoid When Adopting Advanced Analytics

Ten Mistakes to Avoid When Adopting Advanced Analytics
TDWI Member Exclusive

November 29, 2017

 

By Troy Hiltbrand

Advanced analytics is consistently ranked as a high-priority focus of CIOs across the industry. With applications from cybersecurity to financial management to human resources to sales and marketing, almost all sectors regard advanced analytics as a mechanism to solve their most challenging business problems.

This publication explains 10 mistakes to avoid when adopting advanced analytics.


Q3 2017 Ten Mistakes to Avoid in Smart Cities, 1.1

Ten Mistakes to Avoid in Smart Cities, 1.1
TDWI Member Exclusive

August 16, 2017

 

By Ted Cuzzillo

The "smart city" buzz is loud, but smart cities themselves are still young. In this Ten Mistakes to Avoid, Ted Cuzzillo identifies the most common mistakes vendors, leaders, and administrators are making as they create and manage smart cities.


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