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Services - Foundations for digital business models and the use of AI

Dategro supports industrial companies and investors in setting up IT, data, and processes in such a way that your company

  • operates economically
  • is audit- and integration-ready
  • and can scale digital business models and AI applications on a stable foundation.

 

Our services are divided into two tracks:

  • Track A: Operational & Digital Foundations for Industrial Companies
  • Track B: M&A and Post-Merger Integration in the IT and Data Environment

Track A - Operational & Digital Foundations

S1 Readiness Check (Gap & Roadmap)

Purpose

You will gain a clear picture of the maturity level of processes, IT, data, and information flow, aligned with your corporate strategy.

When the service is useful

  • You are experiencing problems with transparency, verification, efficiency, or controllability.
  • You are planning major investments in IT, digitalization, or AI and need a reliable basis for decision-making.

What we do

  • Analysis of core processes, IT landscape, data quality, and performance
  • Identification of the biggest levers and risks

Typical input

  • Organizational structure
  • Rough process overviews
  • List of systems and tools
  • Existing certificates
  • Sample reports and KPIs as well as known issues

Output for you

  • Readiness Scorecard
  • Gap list with priorities
  • 90-day quick win plan
  • 12-month roadmap

S2 Process Excellence

Purpose

Make processes more stable, leaner, and less prone to errors, from inquiry to delivery.

When the service is useful

  • High coordination effort
  • Rework and delays
  • Unclear responsibilities in value creation

What we do

  • Value stream analysis
  • Identification of bottlenecks and causes of rework
  • Design of target processes and control loops

Typical input

  • Current process descriptions or sketches
  • Production and quality metrics
  • Rework and scrap data
  • Planning documents

Output for you

  • Target process diagrams
  • Catalog of measures
  • KPI set, e.g., throughput time, adherence to deadlines, scrap
  • Meeting and review routines

S3 IT and Application Consolidation / Application Retirement

Purpose

Reduce system proliferation and create an integrated, manageable IT landscape.

When the service is useful

  • Many isolated systems and Excel solutions
  • Media breaks between planning, production, quality, and controlling
  • Unclear system responsibilities and rising IT costs

What we do

  • Application inventory
  • Evaluation according to keep, replace, retire
  • Design of a minimally sensible target architecture
  • Definition of governance principles

Typical input

  • List of all applications
  • Rough interface overview
  • License and cost information
  • IT organizational chart
  • Known IT pain points

Output for you

  • Current application map
  • Target architecture
  • Consolidation roadmap
  • Integration blueprint
  • Governance framework with roles and rules

S4 Data Foundation & Traceability

Purpose

Create a robust data foundation for quality, production, and reporting.

When the service is useful

  • Master data is inconsistent
  • Verification is time-consuming
  • Data is distributed across many systems

What we do

  • Analysis of relevant data objects
  • Design of a pragmatic data model
  • Definition of data ownership and governance
  • Evaluation of data quality

Typical input

  • Examples of master data, e.g., materials, articles, customers, suppliers
  • Examples of production and quality data
  • Extracts from ERP, PLM, MES

Output for you

  • Data model
  • RACI for data
  • Data quality score as a baseline
  • Action plan for improvement
  • Traceability concept

S5 Performance Cockpit & KPI Control

Purpose

Make key figures for production, quality, and delivery capability controllable, not just reportable.

When the service is useful

  • Many different KPI definitions
  • Manual reports in Excel
  • Little confidence in figures and lack of action signals

What we do

  • Standardization of KPI definitions
  • Connection of relevant data sources
  • Development of dashboards
  • Establishment of review routines

Typical input

  • Existing KPI lists and reports
  • Example evaluations
  • Management targets
  • Overview of data sources

Output for you

  • KPI dictionary
  • Management cockpit, for example in Power BI
  • Review structure
  • Documented target and alarm values

S6 AI Readiness & Use Case Roadmap

Purpose

Use AI where benefits, data availability, and processes align.

When the service is useful

  • Strong interest in AI
  • Many ideas, but unclear priorities
  • Uncertainty about whether data and processes are ready

What we do

  • Collection and evaluation of AI use cases
  • Check of data and process maturity
  • Benefit and feasibility assessment
  • Development of a roadmap and governance

Typical input

  • List of existing ideas and use cases
  • Rough overview of available data sources
  • Strategy and target vision documents
  • IT and data map

Output for you

  • AI readiness assessment
  • Use case portfolio with prioritization
  • Roadmap
  • Governance and role model for AI

S7 Evidence Pack & Capability Profile

Purpose

Present improvements clearly, concisely, and factually, both externally and internally.

When the service is useful

  • Many initiatives have been implemented
  • Results are difficult to present to customers, partners, or auditors

What we do

  • Consolidation of process, IT, and data improvements
  • Preparation of key figures
  • Development of a capability profile
  • Integration into strategy and target visions

Typical input

  • Results from relevant projects
  • Key performance indicator trends
  • Sample reports
  • Process and system overviews
  • Existing presentations and documents

Output for you

  • Short profile of one to two pages
  • Detailed evidence pack
  • Documents for customers, audits, and management meetings

S8 Data Integration

Purpose

Automation of data exchange between isolated systems and reduction of manual, error-prone work.

When the service is useful

  • Systems need to exchange data but do not have clean interfaces.
  • The status quo is file exports, imports, and manual transformation.
  • Errors and media breaks slow down processes and reporting.

What we do

  • Evaluation of existing interfaces
  • Design and implementation of a solution for automating data exchange
  • Data cleansing and migration as needed

Typical input

  • List of applications and systems involved
  • Description of current data exchange
  • Known workarounds and problems

Output for you

  • Data exchange concepts
  • Implemented data integration
  • Documented migration and cleansing results

S9 Coaching & Training

Purpose

Systematically empower roles in the operation and management of IT and data infrastructure.

When the service is useful

  • Shortage of skilled workers in data-oriented roles and skills
  • Transformation and change require new skills in IT, data, and leadership

What we do

  • Develop training and coaching concepts
  • Empower employees and managers in relevant topics
  • Methodically accompany change processes

Typical input

  • Target roles and required skills
  • Existing profiles and team structures
  • Transformation and digitization goals

Output for you

  • Training plan
  • Empowered employees who take on tasks independently
  • Strengthened leadership for transformation and change

Track B - M&A and post merger integration (IT & data)

M1 IT & Data Due Diligence

Purpose

Identify and assess IT and data risks as well as integration efforts before purchasing

When the service is useful

  • planned acquisition or buy and build
  • low transparency regarding systems, data, and hidden IT costs at the target location

What we do

  • Analysis of IT and application landscape, tech debt and dependencies
  • Data maturity assessment
  • Evaluation of possible integration scenarios

Typical Input

  • Information memorandum
  • Access to the targets IT and system overviews
  • Organizational charts
  • rough process descriptions
  • initial costs and license data

Output for you

  • DD Report
  • Risk and Opportunities Overview
  • Integration options with significant effort
  • Recommendations on synergy levers

M2 100 day IT & Data integration plan

Purpose

Have a reliable roadmap for IT and data integration immediately after closing.

When the service is useful

  • Takeover is pending or has recently taken place
  • Integration involves multiple locations, units, or systems

What we do

  • Definition of an IT target architecture
  • Prioritization of integration steps
  • Planning for data harmonization and KPI alignment

Typical Input

  • Purchase and Deal Hypotheses
  • existing IT and process documentation of Buyer and Target
  • System and data overviews
  • strategic goals

Output for you

  • 100-day plan with milestones
  • Target architecture sketch
  • Overview of quick wins compared to later topics
  • Reporting framework for management

M3 IT and application consolidation program

Purpose

Create a unified IT and data foundation across multiple units

When the service is useful

  • multiple companies or locations with their own systems
  • heterogeneous processes
  • high effort required for reporting and control

What we do

  • detailed consolidation plan for core systems
  • Definition of target processes
  • Harmonization of data and KPIs

Typical Input

  • System and process landscapes of all units
  • existing projects
  • KPIs and reporting requirements
  • Infrastructure and license data

Output for you

  • Program plan typically lasts 12 to 36 months
  • Target process and system landscape
  • consolidated KPIs and data logic
  • Progress and risk reports

FAQ zu unseren Services

We work at the interface between these requirements and your processes, IT systems, and data structures. Detailed interpretation of the standards and certification remain the responsibility of specialists and auditors; we ensure that your organization can practically implement and demonstrate compliance.
No. In many cases, much can be achieved simply through better integration, clear governance, and well-structured data models. A system change is an option, but not the standard approach.
We work with a clear framework consisting of a target vision, standard KPIs, and architectural specifications, which is tested in pilot plants and then rolled out to other locations. Local characteristics are taken into account without losing sight of the overall picture.
Yes. Here we draw on the M&A track of your service catalog, in particular IT & Data Due Diligence and 100-day integration plans. These can be combined with the automotive-specific modules.
This depends on the initial situation and the chosen focus. Initial effects usually arise from improved transparency, clear KPI definitions, and simplified processes. Structural effects in OTD, PPM, or complaint handling follow in subsequent stages.

We involve both sides from the outset, work with a clear vision, and use key performance indicators and data models as a common language. This creates a framework that reflects both local realities and central management requirements.

If you would like to find out which services from the Dategro portfolio have the greatest impact on your situation, we can start with a short, structured initial consultation.

 

In this conversation, we will clarify your goals, your starting point, and whether a readiness check, a concrete performance cockpit, a data foundation, or an M&A case is the most sensible approach for you.

Book a Call

Dategro partners with deal teams to conduct targeted technical due diligence that identifies hidden IT risks, quantifies their impact on valuation, and creates clear remediation roadmaps—all within standard deal timelines.

COMPANY

dategro IT GmbH & Co. KG
In der Gelpe 79
42349 Wuppertal
Germany

 

E-Mail:
[email protected]

 

Telefon:
0202 430 427 20

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