Pärnu mnt 105, 11312 Tallinn, Estonia

Unified Data Reporting for Enterprises

DigitalMara developed a robust Business Intelligence solution that allows large companies to seamlessly process reports from various sources.

About the client

Tech startup from Canada

Our client is a Canadian technology startup focused on addressing an enterprise-level challenge: efficient data processing and visualization.

Challenge

Enterprises receive digital reports from a wide range of sources, often in different formats, making data processing a time-consuming task.

Approach

We conducted a thorough assessment of all requirements and came up with a detailed implementation plan. We assigned a dedicated team and took full responsibility for the project. The Scrum model was followed, with application modules developed iteratively. Guided by a project manager, developers maintained frequent communication with the client to ensure alignment and implemented all BI features as specified.

The developed solution obtains the following key features:

  • Receiving analytical data from various sources.
  • Validating incoming data before the system identifies the transformation route.
  • Converting incoming data into a unified format.
  • Introducing new data formats without coding.
  • Automated scaling.
  • Disaster recovery of data for events like server failure or hardware breakdown.
  • 99.5% service availability — high enough to ensure uninterrupted operations regardless of possible hardware failures.
  • Data masking to ensure its security.
  • Converting data from storage into a desired format.

Results

The Business Intelligence solution we’ve built saves enterprises the time they would otherwise be forced to spend handling reports and sorting analytical data from multiple sources. The likelihood of data loss and leakage is reduced to a minimum, preventing expenses commonly incurred with these events. Whatever new format might pop up in reporting, service administrators can quickly configure the platform to make it manageable.

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