Your Data Partner, From Strategy to Delivery
DATAlysis is a Swiss data consultancy helping organisations build, run, and govern their data platforms — from Oracle Analytics to AI strategy. We engage where you need us: project delivery, ongoing support, or long-term advisory.
How We Work With You
We engage at the right level for your challenge — no cookie-cutter packages.
Understand your challenge
We start by listening. No pre-packaged proposals — we ask the questions that surface the real problem.
Define the right approach
We design the recipe: the people, tools, and methods that fit your organisation and your situation.
Deliver with accountability
We take responsibility for outcomes, not just outputs. If something is not working, we fix it.
What We Do
From data platform delivery to AI strategy — we engage where you need us.
Build & Deliver
Every data project starts with understanding the problem before writing a single line of code.
We cover the full delivery cycle: analysis, architecture, development, training and everything in between.
Run & Maintain
Expert support and evolution for your existing Oracle Analytics platforms, from incident resolution to upgrades.
AI & Modern Data
Pragmatic AI and machine learning adoption, grounded in how these technologies actually work.
Manage & Govern
Data strategy, governance, and compliance frameworks that turn data into a reliable organisational asset.
Training
Custom training programmes designed for your team, your tools, and your actual level.
All the shapes of data
Your data has various shapes, is stored in a number of different sources. The added value is being able to work with each one of the various data structures.
Relational
Schemas, tables, columns, rows. Any kind of relational database, with a special focus on Oracle Database.
Graph
Graph databases are a powerful complement to relational. A different vision with a focus on connections more than attributes.
Multidimensional
Are faster and more intuitive for multi-axis analytics. They are less common but extremely powerful mostly in a financial context.
Document
Document databases offer schema flexibility, for unstructured documents, are powerful data sources for raw data.
Key-Value
Stores data as simple key→value pairs, offering extremely fast lookups and effortless horizontal scaling, ideal for high-throughput workloads.
Vector
Stores data as high-dimensional numerical vectors, enabling fast similarity search. Ideal for AI applications.
No red lines
We know what seven perpendicular red lines look like.
We also know how to have the harder conversation first.
Ready to talk about your data?
No sales pitch — just an honest conversation about your challenge and whether we're the right fit.