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
Our client, a startup eager to solve an enterprise-level problem, challenged us with a particularly complex assignment. Big companies typically have digital reports coming in from a wide range of sources. The data is often encoded using different formats, which makes handling it all a time-consuming task.
We presented data processing solution that utilizes the following route: Receiving, Validating, Converting, Masking (optional), Storing, Converting (optional).
To prevent data loss, we implemented a disaster recovery mechanism. If a server ever fails or any other hardware goes offline, users can easily switch to the backup file.
The client also required flexibility with data formats. We enabled adding new formats that the business intelligence (BI) system can recognize and process through the visual interface — no coding required.
Approach
The founders of this North American startup had excessive experience working with large enterprises. They clearly knew the problem they wanted us to solve, and effectively described it in detail, expecting completion promptly within the fixed-price contract.
We began with the project discovery phase. Those findings laid the groundwork for the precise software requirement specifications necessary to execute the first draft of software architecture.
Since the client did not employ an in-house tech team, our role as a dedicated development resource included an unusually high level of responsibility. We had to keep in constant contact with them, and our team adjusted its working hours to fit within the client’s time zone.
We stuck to the Scrum model, implementing various modules of the application iteration by iteration. Headed by a project manager, our developers frequently checked in with the client to ensure that everything stayed on track, and worked on all BI features exactly as requested.
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 data 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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