Data Integration Services

Modern data integration technology and techniques allow you to easily clean, transform, and view all of your data in a single location for unified, reliable, and effective analysis.

Discuss Your Data Integration Needs

Cloud-based data architectures provide companies with flexibility, scalability, and simplified infrastructure management. However, these approaches often result in siloed data, making analytics difficult.

We can help you utilize modern data integration technologies and techniques so you can perform analysis across all your sources, regardless of form, function, or location.

Our data integration services can help you

  • Integrate and extract large volumes of
    disparate data
  • Transform structured and semi-structured
    data into easily analyzed formats
  • Track data lineage and apply data tests to
    confirm assumptions
  • Ensure data is clean, consistent, and
    available in real-time
  • Load data into cloud-based data
    warehouses, data lakes, and BI Tools
  • Access the data needed to accelerate
    AI/ML projects
  • Simplify operations and automate
    administrative tasks
  • Modernize your data architecture

Data Integration Techniques

Our analytics consultants use a variety of data integration techniques to automate the process of connecting data from disparate source systems to where you need it to be.
  • Prebuilt ELT and ETL Frameworks

    We’ve created reusable frameworks for ELT and ETL paradigms which allow us to quickly achieve consistent naming conventions, auditable processes, and easily-understood lineage for the ingestion pipeline.
  • Data Transformation

    Taking advantage of modern tools on the market, we standardize transformation processes so that they can be easily understood at a high level. We believe the most important part of transformation isn’t transformation itself; it’s creating a process that can be replicated, interrupted, iterated on, and understood.
  • Dynamic Data Structures

    As part of our data integration best practices, our processes will first try
    to dynamically adjust and compensate for any structural changes in the data. If this cannot be achieved dynamically, our processes will highlight the culprits that could cause data integration to fail (and alert you to the situation!), allowing you to quickly remedy the problem.
  • Data Cleansing

    Data scientists and analysts no longer have to spend the majority of their time cleansing data for analysis. In a modern data stack, data cleansing is handled programmatically within the stack so that data scientists and analysts can spend their time solving complex business problems and uncovering opportunities.
  • Integration Prioritization

    There are costs associated with the movement, transformation, and integration of data; data storage; and the upfront and ongoing costs of data stewardship. For these reasons, you may not actually want to integrate all of your data. We have best practices and tools that help prioritize which data to integrate – and which data to NOT integrate –
    so you can optimize your data integration processes and reduce cost.

Technologies We Work With

With data integration software evolving at a rapid pace, our consultants will ensure you take advantage of the best technology to ingest and transform your data.

Contact Us

National Office Telephone | Mon-Fri 8:30am-5:30pm CT

Data Strategy Session

To thrive with your data, your people, processes, and technology must all be data-focused. This may sound daunting, but we can help you get there. Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.

Learn More →

Fill out this form to get a 30-minute Data Strategy Session with one of our analytics experts.

Cloud Strategy Session

In one hour, get practical advice that you can use to initiate or continue your move of data and analytics workloads to the cloud.

During your free one-hour cloud strategy session, we will:

  • Review how the cloud fits into overall corporate strategy
  • Review how the cloud fits into data and analytics strategy
  • Review existing cloud assets
  • Discuss data and current analytics solutions to prioritize what components should be moved to the cloud

Fill out this form to get a one hour Cloud Strategy Session with one of our analytics experts.