Our Services

Data Integration

Discover, capture, and integrate all your data with proper categorization and documentation.

Make your data relevant, not just accessible.

It can be challenging to collect the right data from diverse sources, and an even bigger challenge to do so at the speed your business demands. We provides a unified approach that combines rapid data integration, transformation, and mapping with automated quality checks to ensure trustworthy data every step of the way.

Data integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.

There is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.

In a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.

A unified approach to data integration.

Data integration is at the heart of any Dub Consulting engagement. Convenient self-service tools make it easy to ingest data from almost any source, and integrated preparation functionality ensures that your data is usable from day one.

Built for the way you work

One usable view of your business.

A data connection is useful when the information arriving at the other end is dependable. We help connect sources, shape the data, and make the flow understandable to the teams who depend on it.

How we can help

  • Source-system discovery and data mapping
  • Batch and event-driven integration design
  • Transformation rules and validation checks
  • Pipeline monitoring, documentation, and handover
A common starting point

Operational reports that rely on manual spreadsheets, duplicate extracts, or inconsistent figures across teams.

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