Data2Action - Shit in Shit out? Strategy out!

We help procurement teams to finally bring clarity to their data chaos – with clear data models and AI logic from the data lake to the source of knowledge.

These companies rely on us

These companies build on us

Data chaos and unclear decisions

Systems without effect? Automation without a foundation? Reporting without informative value?

Many companies use tools such as BI systems, e-procurement platforms or source-to-contract solutions – but do not have a clean database.

When purchasing data is incomplete, every euro becomes a bet

Compare suppliers? Flying blind.

Lack of negotiating power due to blurred supplier base

Problem:
Purchasing managers negotiate with suppliers without having valid comparative values or key performance indicators to hand. The purchasing data does not show how often which supplier was actually commissioned, at what conditions – or whether another supplier is permanently cheaper or more reliable.

Consequences:

No sound supplier evaluation (price, adherence to delivery dates, quality)
Weak negotiating positions
Potential savings remain unused

Strategy without data? Expensive.

Strategic decisions are based on gut feeling rather than numbers

Problem:
Management and purchasing decision-makers have to make quick decisions about budgets, bundling or new framework agreements – but the necessary evaluations are only possible through manual compilations from various sources (ERP, Excel, emails) and are often contradictory.

Consequences:

Strategy workshops and board proposals are based on incomplete data
No clear statements on spend, requirements or development trends
Risk of wrong decisions with expensive consequences

One failure - everything stops.

Operational standstill in the event of staff absence or change

Problem:
If a key person in purchasing or controlling leaves the company or is ill, there is suddenly a lack of knowledge about data interfaces, reporting logic or manual routines for data collection. Knowledge is not documented – and processes come to a standstill.

Consequences:

No access to current purchasing reports
Crucial routines (e.g. offer comparisons, monthly reports) break down
Loss of know-how and data transparency in day-to-day business

Data2Action powered by Polygran

We turn your data lake into a knowledge pool

We create decision-making quality – even if your database is currently still a nightmare.

Data cleansing

Cleansing, harmonization and structuring of article, supplier and transaction data

Intelligent enrichment

Classifications, CO₂ values, product groups, market information

Analysis

Identification of potential for savings, efficiency and risk reduction

Effect for your role

Purchasing management

Recognizing bundling potential, strengthening the negotiating position and reducing maverick buying.

SCM managers

Recognize supply risks, use inventory and warehouse data transparently and thus create the basis for reliable forecasting and close supplier integration.

CFOs & Business Owners

Identify cost drivers, establish ESG reporting and create a data-based foundation for sound investment decisions.

Act now

Can you still afford to do nothing?

We make your incomplete or incorrect data usable through AI-supported processing. This creates real decision-making capability even from fragmented, incomplete or incorrect data.

Our approach works regardless of format, system or data quality – even with “shit” data.

Act now

How much longer can you afford to stand still?

We make your incomplete or incorrect data usable through AI-supported processing. This creates real decision-making capability even from fragmented, incomplete or incorrect data.

Our approach works regardless of format, system or data quality – even with “shit” data.

Professional sport

Recognizing purchasing potential - despite project business and speed

Professional sport is all about speed – even when it comes to purchasing. Player transfers, short-term event requirements, medical equipment or fan merchandise – all of this has to be procured, evaluated and documented. However, there is often a lack of consolidated purchasing data: Information is scattered across emails, Excel lists, ERP systems or individual tools.

What we make possible:
Our platform connects these scattered data sources and makes them analyzable – in real time. For example, the purchasing department can see which suppliers deliver reliably, where prices have changed significantly or whether certain materials regularly lead to bottlenecks. Sponsorship expenditure or hospitality services can also be viewed in an integrated manner.

The result:
Purchasing becomes a strategic lever – with clear reports, well-founded comparisons and the ability to make good decisions even under time pressure. This keeps the focus on the playing field – and not on chaotic purchasing processes.

Healthcare industry

More transparency in procurement - with full compliance

In hospitals, purchasing is confronted with high demands: complex tenders, a large number of medical products and service providers, and strict compliance guidelines. However, the data situation is often fragmented: ERP systems, logistics solutions, supplier portals and email communication work alongside each other – not with each other.

What we make possible:
Our solution consolidates all purchasing-relevant data in a central system – structured, automated and audit-proof. This allows hospital purchasers to immediately see which contracts are expiring, where conditions have changed or whether purchasing requirements have been met. Reports for purchasing commissions, controlling or external audits are available at all times – and are based on reliable data.

The result:
Less time for reporting, more time for strategic supply assurance – and data-based management of purchasing, which also relieves the burden on medical operations.

Industry/sector

Third use case

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Our answers to your questions

FAQ

How much data can you save?

In short: more than you might expect.

Our platform specializes in making data usable that was previously considered unusable or “lost” – e.g:

Unstructured free text from emails, PDFs, offers or contracts
Island data from Excel lists, Access tools or local SQL queries
Scattered ERP data that is not linked or cannot be analyzed
Manual notes, conditions or order details without a data model

With the help of AI, rule-based cleansing and flexible mapping logic , we structure these sources and integrate them into a uniform, analyzable model – GDPR-compliant and auditable.

What does our solution cost?

The price depends on the scope and complexity of the project. As a rule, we offer scalable project packages with clear milestones. In the initial meeting, we clarify the requirements together and create a suitable offer based on this.

What size of company is our solution suitable for?

Our solution is particularly suitable for medium-sized and larger companies – from approx. 200 employees or with complex purchasing structures with many suppliers, product groups or reporting obligations.

How is AI used in data cleansing?

Our AI is used where classic rules reach their limits – e.g. with unstructured data such as PDF offers, emails or contract texts.
With the help of NLP and LLMs, the AI automatically recognizes relevant content (e.g. prices, runtimes, quantities, discounts) and converts it into structured, evaluable formats.

The AI also helps with this:

Classify texts automatically (e.g. offer vs. contract)
Normalize information (e.g. merge different article designations)
Assign data correctly (e.g. to a supplier, a product group or a project)

All results are transparent and traceable – no black box. If desired, they can also be checked or trained manually. This creates a reliable, clean database for automated analyses and reports.

Who will help us with the implementation - consultants or developers?

Both. Our team combines full-stack development with business expertise. This means that we not only think technically, but also understand your purchasing processes and goals – and support you throughout the entire change process.