Data professionals have little confidence in the way business stakeholders within their organizations use corporate data when making important business decisions.

Channel Partners

October 29, 2015

4 Min Read
Execs Misinterpret Data, Leads to Bad Business Decisions

PRESS RELEASE — AUSTIN, TX–(Marketwired – Oct 29, 2015) – According to a new study — titled “Data Modeling and Collaboration: Insights for Business and Data Professionals” — released today by Embarcadero Technologies, data professionals have little confidence in the way business stakeholders within their organizations use corporate data when making important business decisions. The research finds three out of four (75%) data and development professionals suspect business stakeholders misuse data when making business decisions, while 81% believe the data used is misinterpreted.

The Embarcadero study conducted by Dimensional Research shows:

  • Only 13% of data professionals believe the right data is always being used, while just 9% say the data is being interpreted correctly by business stakeholders.

  • Business stakeholders in large companies are more likely to make mistakes with data, with organizations of 5,000+ employees ranking the highest for misusing and misinterpreting data.

  • “Data silos” — databases or data sources that are not integrated for use across the organizations — are more common than IT executives realize; 44% of individual contributors versus only 23% of executives say their organizations have many silos.

Organizational issues contribute to data challenges
According to the research, 100% of those executives surveyed agree that it is important for data and development teams to communicate well, while only 25% believe there is actually good communication between the teams within their organizations.

  • 85% of executives whose IT organizations use new data platforms (e.g., cloud, graph, columnar, and Hadoop databases) say that communication between data and development teams is very important.

  • Only 24% of developers think their data team is fast and responsive.

  • Less than half of data teams (45%) say they are included at the beginning of a project, while 25% say they don’t find out about a project until it’s too late for them to do their best work.

Data models are valued but not effectively used
Survey results indicate that developers overwhelmingly believe in the value of data models, and the formalization and documentation of existing processes and events that occur during application software design and development. But only 20% say IT leadership fully understands that value.

  • 87% use data models but only 18% have a data modeling team responsible for them.

  • 95% of developers say the use of good data models increases the quality of an application.

  • 95% of data stakeholders say application and data quality would improve if developers understood data modeling better.

Top three challenges of data modeling
The research reveals that almost half (49%) of developers and data professionals include input from …

… business stakeholders when developing new data models. But 96% of developers report they have challenges with data models, with the top three being:

  • “Moving data between platforms or formats:” 52%

  • “Business stakeholders and IT using different terminology for data:” 43%

  • “Business stakeholders not getting full value from the data available:” 43%

Agile data modeling fosters better data and collaboration
According to survey results, just 16% of participants have fully embraced an agile development methodology; however 95% of participants see value in agile data modeling.

  • More than half of the participants rank “increased data accuracy and integrity” (52%) and “better collaboration between data modeler and development teams” (51%) as the top two benefits of agile development.

  • Only 8% say those responsible for data models are not included in their agile process.

“New technologies for capturing, storing, and analyzing data are revolutionizing the way business decisions are made,” says Michael Swindell, Senior Vice President of Products at Embarcadero Technologies. “As corporate data becomes more of a strategic asset that drives business decisions, the consequences of relying on the wrong data can be disastrous for the enterprise. New agile and team enabled data modeling tools like ER/Studio and ER/Studio Team Server are helping organizations to embrace data modeling in tandem with collaborative, agile workflows to ensure data quality and integrity, and to establish the foundation for a business-driven data architecture.”

About the Research:
Data Modeling and Collaboration: Insights for Business and Data Professionals
In August 2015, Dimensional Research conducted a global survey of 402 data stakeholders for Embarcadero Technologies, to understand the value of data, the importance of team collaboration and agility, and the relevance of data modeling for effective business decision-making. Participants included data professionals, developers who build the applications that use the data, and IT managers who make decisions about data technologies and processes. All participants had an awareness of data modeling and were able to give informed answers. Survey results are considered accurate +/- 5%, 19 times out of 20. To download the full survey report 

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Business stakeholders using wrong data to make important decisions, says new @EmbarcaderoTech survey results

About Embarcadero Technologies
Embarcadero Technologies, Inc. is a leading provider of award-winning tools for application developers and database professionals so they can design systems right, build them faster and run them better, regardless of their platform or programming language. Ninety of the Fortune 100 and an active community of more than three million users worldwide rely on Embarcadero products to increase productivity, reduce costs, simplify change management and compliance, and accelerate innovation. Founded in 1993, Embarcadero is headquartered in Austin, Texas, with offices located around the world. To learn more, please visit

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