Data assessment
An inventory of sources, their quality and actual use, and the gaps between what is measured and what management needs.
04 · Data
Decisions based on reliable figures rather than conflicting spreadsheets. And a clean data foundation, essential to any AI project.
An inventory of sources, their quality and actual use, and the gaps between what is measured and what management needs.
Shared KPI definitions, owners per domain, update rules and quality checks.
Choosing and setting up an architecture sized for you: data warehouse, integrations, BI tools.
Useful management indicators, built with the people who use them and refreshed automatically.
Making use of production and sensor data to track performance, anticipate drifts and optimise processes.
No. The choice depends on your existing environment, in-house skills and budget. The priority is data quality and consistency, not the tool.
It is the most common situation. The assessment is there precisely to map those sources and define how to connect them.
Often a few weeks for a first scope, if the source data is accessible. We start small, then expand.
02 · Generative AI
AI can save a considerable amount of time, provided it is applied to the right processes, with reliable data and clear rules.
05 · Applications & cloud
Applications, integrations and infrastructure that handle the load, grow with your business and remain maintainable by your teams.
Thirty minutes to understand your situation and tell you honestly whether — and how — SameBox can help.