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What We Do

Data Integration

Consolidating data from multiple sources into one location to power data processing while lowering costs.

  • Data availability
    Ensure the data is available and reachable any time at any level of performance from calm to busy events.
  • Easier and faster connections
    Our solution toward data integration provides faster data access and connection within the entire data infrastructure.
  • Improved data quality
    Integrating the data prevents data loss, data redundancy, and duplicity, thus providing higher a quality of the data.
  • Data consistency
    Data is being transformed only in allowed ways, defined by the business requirements to warrant the consistency and validity.
  • Reliable and synced solution of access across locations
    You can rely on the solution that can withhold a big amount of data or frequent updates and access the data across locations.
  • Increase of precision for prediction
    When data is integrated and connected it supports better decision making with more accurate prediction based on actual data.
  • Agnostic format of datasets combined for a larger perspective
    Defining your own rules and requirements lets you choose the combination that fits your business the best.

How we do it

We integrate data using practice, architectural techniques, and advanced technology to achieve consistent access and delivery of data. With the growth of a number of data sources, the importance of effective data integration grows as well.

  • Combining different sources
    Data integration comprises technical and business processes for combining data from different sources, across a spectrum of data subjects and structure types.
  • Unified data view
    We create a central data location, database or data warehouse; and provide the unified and trusted data view.
  • Delivering data through pipelines
    It delivers clean and enriched data through pipelines to support its utilization to the fullest.

Use cases
  • Data warehouse (DWH)
    Technology of storing integrated data from multiple sources and large depositories, often from the entire organization. It makes data available, faster and easily accessible. This leads to an increase in performance of queries and the system as a whole. It helps to take strategic decisions
  • Datamart
    Creating a subset of data within a centralized data warehouse makes it easier for individual departments to access important data quickly and also prevents departments of the organization to disrupt each other data. It is designed to meet the specific needs of a certain user group.
  • Business Intelligence (BI)
    Data integration sets up a fine foundation for BI, data transformation into valuable information and supports effective decision making. BI tools commonly source the data from data warehouses, which provide consolidated data; and focus on data analysis, visualization, and reporting.
  • Master Data Management (MDM)
    Managing master data follows data integration. It is a comprehensive process used to categorize, localize, synchronize, enrich, and manage data. It requires defining and enforcing specific business rules to create a single reference source for core enterprise data.
  • Relationships among data
    A wide-ranging examination of the relationships of data available - correlations, clustered histograms, etc.

The integration of your data ensures you can rely on them gives you an overview of all your consolidated data sources, for better and quicker access to the information you need.

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