2006
First decision-support projects
20+
Years of data expertise
3
Vendor partnerships (IBM, Oracle, Microsoft)
100%
Technology independence

Who we are

Agrolytica is a data analytics firm dedicated to the food industry — manufacturers, cooperatives, distributors, and logistics providers.

Our conviction

Performance in the food industry — quality, service, cost — is managed with data that is reliable, well-structured, and delivered at the right level. We build that bridge: from raw data to decisions.

Our team

Deep technical data expertise (ETL/ELT, data warehousing, BI, EPM) combined with genuine business knowledge of the food industry.

Our track record in the food industry

A look at decision-support projects our team has led at leading food-industry companies.

Edible oil manufacturer

Data warehouse modeling (Cognos Framework Manager), Stock/Commercial/Supply Chain cubes built from the Movex ERP, geographic sales tracking, and budget planning on Hyperion Planning Essbase.

Dairy group

24/7 operation of the decision-support platform, Finance/Commercial/Industrial/Stock/Supply Chain/Milk Collection data marts, SSIS-based ETL, and IBM Cognos EP budget planning models.

Sugar refining

Tracking extraction yields by campaign, raw material traceability through to finished product, and quality and production dashboards tied to the campaign schedule.

Beverage bottling

Production line monitoring (OEE, scrap rate), batch traceability by expiry date, and packaging and raw material cost tracking.

Flour milling

Milling yield tracking, wheat batch traceability by origin, and buffer stock management between receiving and dispatch.

Canning

Managing supply seasonality (fishing, produce), quality compliance tracking, and batch traceability through to export.

Our values

Rigor

Every recommendation is grounded in a factual audit, never a hunch.

Field proximity

We speak the language of your production, quality, and logistics teams — not just IT.

Independence

No vendor partnership dictates our technology recommendations.

Transparency

Realistic roadmaps and plain language, no unnecessary jargon.

Our approach

1

Understand

Audit your data ecosystem and business challenges.

2

Structure

Integrate and model your data into a reliable data warehouse.

3

Deliver

Dashboards and reports tailored to each user.

4

Manage

Embed data into your performance processes.