Regional Grocery Retail Leader
How a 100+ Store GROCERY Chain Moved Analytics into Power BI
Grosh, a regional grocery retail leader with 100+ stores, needed faster reporting without overloading its ERP system. Cobit Solutions helped the company move critical analytics from ABM Cloud to Power BI, build a separate data processing layer, and automate routine Excel work.
900M+
rows processed in
1.5 hours
Retail
100+ stores, high transaction volume, daily operational data.
ERP
ABM Cloud remained the core operational system.
BI
Power BI became the new analytics layer for users.
Scale
The solution was prepared for further BI development.
100+ stores in one analytics ecosystem
Grosh is one of the leading grocery retail chains in the Vinnytsia region. The company operates more than 100 stores of different formats, offers a wide range of products, and develops its own production, including cooking and bakery operations.
Every day, the chain processes a large volume of operational data from dozens of retail locations. As the number of stores, transactions, and users grew, the company needed a modern analytics system that could work with large datasets without adding pressure to the ERP system.
Difficulties
Large volumes of operational data every day.
Challenges
The need for a single corporate analytics system.
Briefly about the client
✓ 100+ stores in grocery retail.
✓ One of the regional leaders
of Vinnytsia region.
✓ Wide range of products and
own production.
What changed after the first stage
of implementation
100+
stores connected to analytics ecosystem
12
Power BI dashboards implemented
3
data sources unified into one model
900M+
rows processed during daily refresh
1.5h
to process large data tables
15+
manual Excel tasks automated
They came to us with slow ERP reporting and too much manual work
What the business felt every day
Employees waited for reports, ERP carried analytical load it was not designed for, and Excel became the place where data was cleaned, merged, checked, and prepared for final use.
Slow ERP reporting
Core reports took time to generate and delayed day-to-day work for operational teams.
Excel instead of analytics
After export, users still had to merge files, verify metrics, and prepare reports manually.
Overloaded ERP
Each analytical request added extra pressure on ABM Cloud instead of keeping ERP focused on operations.
Hard to scale
As store count and data volume grew, the reporting approach became less stable and less efficient.
900M+ rows revealed the limits of the existing setup
The first technical tests showed that the issue was deeper than slow reporting. ABM Cloud was hosted on a cloud server, and direct analytical workload would not deliver the required speed. Cobit Solutions separated operations from analytics: ERP remained the core business system, while Power BI worked with a prepared data layer on a faster client-side server.
ERP under reporting pressure
Users generated analytical reports directly inside ABM Cloud. This slowed down reporting and added pressure to the same system used for operational work.
Separate ETL process
The team configured data replication from the cloud ERP to a fast server and prepared a stable layer for Power BI analytics.
Power BI without ERP overload
Dashboards started working from the prepared data environment, while ERP continued to serve as the main operational system.
12 dashboards that replaced slow
ERP reports
During the first stage, Cobit Solutions implemented 12 Power BI dashboards for Grosh. They helped
move key reporting from ERP into a modern BI format, reduce manual Excel work, and give users
faster access to daily analytics. Because of data confidentiality, we cannot show Grosh’s actual
dashboards. Below are examples of how similar analytics can look for your business.
10M+ rows per minute and a new level
of analytics
After the implementation, Grosh users received faster access to reports, while the ERP system was
no longer used as the main layer for analytical workload. Power BI became the company’s first BI platform
and the foundation for further analytics development.
Faster work with reports
____
Users no longer waited for ERP to generate heavy reports.
Less load on ERP
____
Analytics was moved to a separate BI loop.
12 Power BI dashboards
____
Key reports of the first stage were transferred to a modern format.
A single data model
____
ABM Cloud, OpenStore and Excel were combined into one analytical system.
Less manual work
____
Part of the operations after exporting to Excel were automated in Power BI.
Readiness for scaling
____
The architecture allowed BI growth without direct ERP load.
Ready to speed up corporate analytics?
If your ERP is overloaded with reporting requests and your team still spends time preparing Excel files, Cobit Solutions can help you move analytics to Power BI without replacing the core business system.
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