Manufacturing and agribusiness
Real cost per lot, waste, yield per line and production-plan compliance, with figures that reconcile with accounting.
Data
Auren DataData integration, KPIs and dashboards for decisions based on figures
Before you can analyze, you have to be able to trust. We unify the information that today lives spread across the ERP, the CRM, spreadsheets and emails, and turn it into a foundation you can actually make decisions on.
- Deliverable
- Data model and dashboards
- Typical length
- 4 to 10 weeks
- Stage
- Data
The usual symptom is familiar: two departments present different figures for the same month and the meeting is spent arguing about which one is right. That's not a dashboard problem, it's a model problem.
We define where each figure comes from, how it's calculated and who owns it. Dashboards come afterwards, and then they actually help you make decisions.
When it makes sense
- Each department reports different numbers for the same thing
- Putting a report together takes days of manual work
- The information exists, but nobody can access it in time
- You want to apply AI and first need your data in order
01 — How we work
Data integration and management dashboards, step by step.
- 01
Inventory of sources
Where the information lives today: ERP, CRM, billing, spreadsheets, forms and emails. We assess the quality and reliability of each source before connecting anything.
- 02
Agreeing on definitions
What counts as a sale, when it's considered closed, what goes into cost. Most discrepancies between departments aren't system errors: they're different definitions of the same indicator.
- 03
Integration and consolidation
We connect the sources and build the model: a layer where every figure has a traceable origin and a written calculation rule, not a formula hidden in a cell.
- 04
Management dashboards
The indicators leadership actually uses to decide, not forty charts nobody opens. Each dashboard answers a concrete business question.
- 05
Lineage and maintenance
We document where each number comes from and who owns it, and set alerts for when a source stops updating. A silently outdated dashboard is worse than none at all.
02 — What it includes
- 01Inventory of sources and assessment of data quality
- 02System integration and consolidation
- 03Data model with definitions agreed by each department
- 04Management dashboards on the indicators that matter
- 05Lineage documentation: where each figure comes from
03 — What you keep
- A single version of the truth, agreed between departments
- Reports that generate themselves instead of being built by hand
- The technical foundation any AI project needs
04 — Where it applies
Which sectors is Auren Data for?
The method doesn't change between sectors; the friction does. This is what the service looks like depending on where it's applied.
Retail and distribution
Turnover, margin by product and customer, receivables and buying behavior. Consolidating stores or branches that report separately today.
Companies that want to apply artificial intelligence
No model makes up for inconsistent data. This is the technical foundation that makes any AI project viable —or rules it out in time.
05 — What we measure
How the result is proven.
They're agreed at the start, with the baseline taken before touching anything. Without a measured starting point there's no way to prove the result afterwards.
- Days of manual work removed from report consolidation
- Gap between departments for the same indicator, before and after
- Data freshness: how long a fact takes to reach the dashboard
- Indicators with documented lineage and an assigned owner
06 — Frequently asked questions
What people ask before hiring Auren Data.
- Do I need to buy a BI tool?
- Not necessarily. We assess what can be done with what you already have, including options with no license cost. The tool is the cheap part of the problem; the model and the agreed definitions are the part that really costs, and the part that gets dashboards used.
- My data is in Excel. Does that still work?
- It does, and it's the most common starting point. Spreadsheets often contain the real business logic, the logic that never made it into the system. That knowledge is rescued and formalized, not thrown away.
- Why does each department report a different number?
- Almost always because of unagreed definitions and different date cut-offs, not software failures. That's why agreeing on definitions is a step of the work and not an appendix: without it, the new dashboard just adds one more version to the argument.
- How long until the first dashboard is working?
- The full scope runs from four to ten weeks depending on how many sources there are. The first useful dashboard —one domain, a handful of indicators— is usually running well before that, and it's the one that validates the definitions are right.
- Who maintains this afterwards?
- Your team, if you prefer: we leave the model documented and the logic visible. When there's no internal profile available, Auren Care covers monitoring and evolution with periodic reviews.
07 — Within the Auren system
What comes after Auren Data.
Next step
Auren Flow
Automated flows between systems and departments, with traceability and exception handling.
Let's talk about whether Auren Data is what your company needs.
A first, no-commitment conversation. If your problem is solved by another service —or without technology— we'll tell you that too.
Book a diagnosis