Data Modeling


Strong data comes from strong organization.

Data modeling is the discipline of organizing and relating your data so that it does what you need it to do. Good modeling is what makes your data fast and allows your data to yield accurate and reliable insights. Data modeling is as much art as science, and you need someone who can understand your business context and listen to your goals to do it well. Incorrect modeling can result in slow performance, confusing and contradictory values in tools and reports, and critical decisions being based on the wrong information – things all worth avoiding.


Good modeling makes your data faster and more useful.


Many of the current self-service reporting tools can rely on users to create their own picture of your data, which may not always reflect the standard way the data is intended to be used, or the way one group’s data relates to another group’s data. Establishing a standardized data model allows your organization to leverage all of the benefits of self-service reporting tools and still maintain a consistent picture of your data that reflects your core data strategy throughout your enterprise.


CTA brings decades of experience modelling data to ensure the fastest performance and the most consistent picture across your enterprise.


Our team has successfully modeled data systems for commercial, government, and non-profit enterprises, across a wide range of information domains. The key to successful modeling lies in a solid understanding of the specific information domain that is being modeled, and our team of experts takes the time to understand what your data means to you and how you plan to use it. It’s easy to get started – just provide us some basic contact information so we can get in touch with you to set up a free, no-risk consultation.


Keep an eye on the bigger picture…


Once you have a strong, purposeful strategy, all that remains is to carry it out to fully realize your dreams for useful data. Explore these complimentary offerings to learn about ways to fully implement, sustain, and grow your data platform…