No matter how powerful your data analytics tool, without the right data prep and modeling you will not realize the full value from your data. Poorly cleaned data will lead to inaccurate results. Unclear data models will not provide business value – they only create more questions. Your analysts will waste 80% of their time repeatedly cleaning and prepping data in BI tools instead of doing so once and creating a true single source of truth.  And as you add data from multiple systems into the same environment, the importance of cleaned and well organized data becomes even important.


Data prep, or data staging, is the key to nimble and reliable reporting, automation and self-service. It becomes critical when you have disparate data sources being tapped by multiple departments. By using consistent approaches and naming schemes to join and organize data sources, data prep enables success and transformation into a data driven organization.

What well implemented data prep and data modeling does:

  • Puts cryptic field/column/table names into easy-to-locate business terms
  • Creates field-name comparability across data sources and metrics (e.g. month vs. quarter, ounces vs. pounds)
  • Brings historical perspective to data that is otherwise just a snapshot in time
  • Allows for summary level data with drill-down to details
  • Provides the granular levels of security necessary to filter user access

While almost every organization needs some level of data staging, there is no one-size-fits-all approach. Sometimes light data cleansing and transformation with a self-service tool is appropriate for small organizations or in limited use cases. Other times, a more robust IT driven data architecture (e.g. a data warehouse and/or data lake) is required. It all depends on the business needs of your organization.

Choosing the right approach can be the difference between orders of magnitude better performance and scalability versus money wasted through redundant manual efforts, an overbuilt system or going back to the drawing board as business needs change.


Good data management requires human knowledge in the shape of real-world business acumen and superior technical expertise. Senturus delivers! 

We understand how business users need to use the data and how to flesh out the real, relevant business needs of the company. We have worked with almost every data source, from standard on-premise ERPs to cloud-based social marketing platforms. We take into account all your existing IT investments. We also work with the latest self-service analytics tools and enterprise BI systems.

Let us help you choose the best data prep and data modeling approaches for your organization. Whether the answer is a self-service transformation tool, a data lake, a data warehouse or a hybrid solution. With Senturus you can rest assured you will get the right-sized, solid foundation for data driven success today and as your business grows.