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Data and IT Landscape Organization

We help systematize data, integrate IT systems, and build a transparent IT landscape so project and product management becomes predictable.

30–50%

reduction in time spent searching and preparing data

40–60%

reduction in data duplication and errors

2–6 weeks

to first tangible improvements

100%

IT landscape transparency

Start IT Landscape Audit

Why it’s important to organize data and IT landscape

Over time, a company's data and IT systems become scattered across different storage, integrations work partially, and processes are duplicated. This leads to errors, delays, and increased costs.

Organizing data and IT landscape provides a unified view of data and systems, standardizes processes, increases transparency and manageability of projects, and accelerates decision-making at all levels.

When this service is really needed

Typical situation now

  • Data is scattered across different systems and storages
  • Integrations work partially, with duplicated processes
  • Hard to get up-to-date information for management decisions
  • Errors and inaccurate data affect projects and product decisions
  • No transparent IT landscape

After organization

  • Data is structured and integrated, duplication minimized
  • IT landscape is transparent, with clear connections and responsibilities
  • Processes are simplified, automated, and standardized
  • Managers get reliable information for decision-making
  • Errors are reduced and project delivery accelerates

How the work proceeds

Audit current state

Audit current state

1

We study data, systems, integrations, processes, and responsibilities.

Identify bottlenecks

Identify bottlenecks

2

We detect duplications, unreliable data, and weak points in the IT landscape.

Design data structure and integrations

Design data structure and integrations

3

We develop a standardized data architecture and optimal integrations between systems.

Implement changes

Implement changes

4

We implement changes, configure processes, create guidelines, and automation.

Support and maintenance

Support and maintenance

5

We provide support and ensure correct use of the new IT landscape.

Who this is for

Startups and small business

Startups and small business

Data and system transparency without process overload

We help establish minimal necessary order in data and integrations so teams can work faster and error-free.

Focus: Speed, transparency, data quality

Middle business

Middle business

Data control and process optimization

For managers who need reliable information and standardized processes to accelerate delivery and reduce errors.

Focus: Efficiency, manageability, planning

Large business and corporations

Large business and corporations

Reducing IT landscape complexity and data transparency

For CIOs and program managers — we structure data, integrations, and processes to reduce managerial burden and risks during scaling.

Focus: Manageability, scalability, reliability

What you get

  • Unified and transparent IT landscape
  • Standardized data handling processes
  • Minimized duplication and errors
  • Reliable information for management decisions
  • Increased speed and predictability of projects

Pricing and work format

The service is provided as structured work to organize data and IT landscape with a focus on real management and operational effects. The result is a transparent IT landscape and standardized processes, ready for further scaling and automation.

Middle range

  • Small teams — 4,800–8,400 USD
  • Medium business — 8,400–18,000 USD
  • Large companies — from 18,000 USD

Base cost

from 4,800 USD

Basic work includes audit, identification of bottlenecks, and preparation of a data and IT system optimization plan.

Cost depends on project complexity

  • Volume of data and number of systems
  • Complexity of current processes and integrations
  • Depth of changes and automation implementation
  • Need for support and user training

Fast entry format available - from 3,600 USD

Express audit of data and IT landscape (1–2 weeks) to identify key bottlenecks.

Quickly obtaining a management view and making process improvement decisions.