When the need arises, we can stand up a new reporting environment in a matter of days, not months. That’s because we’re focused on streamlined, simplified architectures that can transition into a more robust data warehouse structure as your institution matures and gains sophistication.

We can look across many data models to get a complete picture.

• Landing model expansion – A centrally managed system that allows your data in its raw format to be accessed by various systems within your institution.
  
• Data warehouse model expansion – Another core component of your business intelligence solution, data warehouses store reusable objects that you’ve created from a variety of data sources that can be used for analysis and decision-making.
• Presentation layer model expansion – Serving as a digital translator of sorts, the presentation layer ensures that reusable models can adapt to meet the needs of different applications.

Appropriately collecting data in a central reporting environment is essential to making your data useful for decision-making. A data pipeline is the system that moves raw data from multiple sources, transforms it, and then stores it in a data warehouse or data lake for analysis.

We’ll help your institution chose the right data pipeline tooling and the insight on how to best use them in your environment whether it’s designed for analytics, operations, or a combination of business functions.

For example, you may need to extract or land financial data from a source system to your reporting environment. Regardless of the specific technical solution, we follow a principled approach to selecting the tools to create stable data pipelines through which your financial data can flow. One of our design goals is to have minimal impact on your existing IT resources and ensure that the tools managing your data pipelines are always up to date.

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