Data Consolidation and Natural Language Query Automation
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TIMELINE
1 month
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SERVICES
Geospatial Products
Operating Without a Single Source of Truth
A geospatial products and services firm operating across Africa relied on multiple disconnected systems to manage operational, sales and project data. Reporting required manual consolidation and answering data questions often meant exporting spreadsheets or involving technical staff. A centralized data consolidation and natural language query solution was implemented to create a single source of truth and make insights accessible to non-technical teams.
Too Many Data Sources, Too Little Clarity
Data lived across multiple tools and formats, making it difficult to generate consistent reports or answer even simple business questions quickly. Manual data consolidation consumed valuable time each month and increased the risk of errors. Access to insights depended heavily on technical resources, slowing down decision-making across the organization.
How can we unify our data and enable fast, self-serve insights without relying on technical teams or manual reporting?
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SOLUTIONS
One Central Data Layer with Plain-Language Access
We built a data consolidation automation that ingests data from all relevant systems into a centralized reporting environment. On top of this, we implemented a natural language query interface that allows users to ask questions about their data in plain language and receive accurate, structured answers.
The solution provides real-time visibility into key metrics, standardized reporting and self-serve analytics for both technical and non-technical users. All insights are generated from a single, trusted data source.
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RESULTS
Faster Decisions with Less Manual Work
The firm eliminated recurring manual reporting tasks and gained clear, consistent visibility across departments. Teams could access reports instantly and ask data questions without exporting spreadsheets or waiting on analysts. Decision-making became faster, more confident and more data-driven, while operational overhead was reduced.
32h
SAVED PER WEEK
$18K
SAVED PER YEAR
253%
ROI
