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Expertise · Data

Data strategy, platforms and analytics.

Make the data hold when a decision depends on it. Data earns its cost when a decision or a product depends on it. We set the strategy and the governance, build the platform and the pipelines, and give the people who decide indicators they can trust and question.

Data in short

Data expertise at ARCHITEKT covers data strategy and governance, data platforms, data engineering, and analytics and BI. We start from the decisions and products that depend on the data, assign an owner to each domain and build the platform, pipelines and indicators those decisions need, with definitions people can check.

The practice runs from the strategy to the indicator: which data serves which decision, the platform and pipelines that carry it, master data and quality rules, and the analytics people decide with. Every figure traces back to a source someone answers for.

With partner specialists: Analytics engineering; Streaming and real time; and Data products and mesh.

Specialties

Data Strategy & Governance

Decide which data serves which decisions, who owns each domain and which rules apply. Ownership, catalogue, lineage and quality targets are written down, so every figure has someone who answers for it.

Data Platforms

Choose and size the platform that stores, processes and serves the data, with its cost and its operating model. The target follows the uses and the volumes, not a vendor’s roadmap.

Data Engineering

Build ingestion, models, lineage and quality practices around the decisions and applications that consume the data. Make the limits of each source visible to downstream users.

Analytics & BI

Build the indicators, reports and data products people use to decide, with one definition per measure. A dashboard is finished when a decision ritual relies on it.

Related work

Work by the operators that used this expertise, before ARCHITEKT and in an ongoing mandate.

Engagement forms

Discuss the data your decisions depend on

When the destination is a measured effect on performance across several decisions, From Intelligence to Performance holds it; this expertise builds the data capability that programme relies on.

When a model or an agent has to be put to work on a defined workflow, with its evaluation and controls, Scale with AI brings that capability on top of the data work.

When the data function itself needs an executive, the Chief Data and AI Officer (CDAO) seat holds it through the transition.

Questions

How does Data differ from Scale with AI?
Data builds the strategy, the governance, the platform and the indicators. Scale with AI puts a model or an agent to work on a defined workflow and engineers the controls around it. An AI use usually depends on the data work being in place first.
Is this a BI tool implementation?
No. The tool is chosen once the decisions, the owners and the definitions are settled. A reporting tool installed before those choices reproduces the conflicting figures it was bought to end.
Who leads data if the role is vacant?
The Chief Data and AI Officer (CDAO) seat of Interim Management. This expertise equips that seat, or a permanent data leader, with the strategy, platform and analytics work the function needs.