Business intelligence solution for unified construction data analytics.
The client is a world-known data center management company. The company needed a robust big data solution to enable unified analytics on all construction projects (the ongoing and historical ones). Functionality presumed real time analysis of data with instant visualization of detailed KPIs and charts to support the management with multi dimensional visibility on all construction projects, pricing history and ultimately help to take data-driven decisions.
The problem was that the client’s existing storage as well as the approach to process unstructured siloed data was inefficient. Digital transformation was required to build a business intelligence solution based on data lake serverless architecture for fast data collection and real-time processing. Project scope assumed the following data types: documents from all departments on every project, historical documents from Google Workspaces (word, complex layout xlsx, pdf and SAP).
After analyzing the client’s business requirements, our big data engineering team delivered the project in 2 phases: proof on concept and production deployment:
Data pipeline processes and updates 100s of files per data center per day.
The smart business intelligence solution development took 2 weeks for PoC, 2 months for live production.
Take a closer look at the solution architecture developed to understand how the data was processed:
During the work, we ingested, stored, processed, and visualized data from various sources.
During the project, our team of data scientists and engineers performed Big Data development.
As a result, we’ve developed a custom business intelligence solution to unify and analyze historical construction projects data using the client’s company siloed data. Now, using our tech solution, the client can make data-driven business decisions supported by the analytics of masses of data aggregated from various sources into one up-to-date report based on relevant data.