Getting to know the source systems
Consultants dig into the source systems: which tables exist, what each column means, what the data quality is like. They check all of this one item at a time.
A D-CAT PRODUCT
Axoria Data Studio: Build your data warehouse with agents
Seven agents work from discovery to the semantic model, and every step goes through human approval. A data warehouse delivery expected to take 6 months, done in 6 weeks.
THE PROBLEM
Why do data warehouse projects take so long?
Discovery, architecture and delivery all depend on manual work. Axoria Data Studio redesigns each of these steps.
Designing the model and the KPIs
Fact or dimension? How is each KPI calculated, which ETL jobs need to be written? Every decision is made by hand.
Coding the semantic model
The semantic model and its measures are coded. Each step builds on the one before, so the risk of error accumulates at every step.
SEVEN AGENTS
Seven agents, with human approval
Each agent builds on the output of the one before, and you step in at every handover (human-in-the-loop).
Protecting the data first
Detects PII fields in the source database (national ID number, IBAN, name, email) and transforms them with format-preserving methods before anything reaches the model.
- Output: a report for GDPR and KVKK (Turkish data protection law) compliance
Understanding the database in depth
It doesn't run random queries. It explores the database step by step, drills into suspicious fields and investigates relationships.
- Output: a data dictionary and KPI suggestions
Measuring data quality
Every table and column is checked systematically, and high-risk fields and fields that need attention are flagged. Approved rules are added to the ETL and testing setup.
- Output: a 0–100 quality score and data quality rules
Designing the data warehouse
Analyzes fact and dimension decisions, granularity and SCD types, and presents each one with its rationale. DDL is generated from the approved model.
- Output: a visual model and SQL DDL
Seeing the result up front
Produces dashboard wireframes before the data warehouse is built, so business units agree on expectations from the very start.
- Output: dashboard wireframes
Generating the ETL jobs
Generates code that follows modern data engineering standards. Instead of writing from scratch, your team reviews and adapts the generated code.
- Output: ETL jobs
Populating the semantic model
Generates measures, time comparisons and growth rates together with their descriptions, and carries the RLS rules into the model.
- Output: a Power BI-ready semantic model (.axr) with RLS
You decide at every handover
An agent's output only moves on to the next agent once it has been approved. Models, rules and code progress after your team has reviewed them.
INTERFACE
Inside the product
Architect builds the model, Guard measures quality, Pulse delivers the semantic model. The panels are an illustrative interface, not screenshots.
Architect: star schema model
Fact and dimension decisions, granularity and SCD types are shown with their rationale; DDL is generated from the approved model and the schema is versioned.
Guard: data quality scorecard
A 0–100 quality score and a red / amber / green risk map for every table and column; approved rules flow into the ETL and testing setup.
Pulse: Power BI semantic model
Generated with measures, time comparisons and RLS descriptions, and delivered as a ready-to-use package.
Open the full agent pipeline in a single view (illustrative interface)
SECURITY
Security by architecture
Deployment in your own environment isn't a marketing choice. It is an architectural decision.
The Privacy agent runs first
The Privacy agent transforms PII fields with format-preserving methods before anything reaches the model. The AI works with data that keeps its statistical properties but carries no real identity information.
Runs in your own environment
Axoria Data Studio is installed on-premises and connects to your source systems from your own infrastructure.
Produces output for GDPR and KVKK compliance
The PII fields detected and the transformations applied are reported, so your compliance work is backed by concrete output.
COST
Cost is visible on every call
Every AI call is logged, so cost can be tracked and forecast throughout the project.
Logged per call
Which agent, which model, how many tokens and at what cost: every call is logged individually.
Tracked on one dashboard
Agent, cost and data quality indicators are tracked on the same control dashboard.
Compared with the manual process
Doing the same discovery and modeling work by hand takes several consultants a number of weeks.
PRODUCT FAMILY
At the center of the product family
Axoria Data Studio provides the data foundation for the D-CAT product family.
HealthCat
The HealthCat healthcare solution is built on Axoria.
Tracta and Promotion Intelligence
The infrastructure can be shared with our retail solutions.
Orix
The infrastructure can be shared with Orix.
NEXT STEP
The model is built here and runs on AgenticObjects
The .axr semantic model produced by the Pulse agent is handed over to AgenticObjects. On top of this model, AgenticObjects runs agents that work as an Autonomous analyst and a Conversational analyst.
D-CAT runs the setup and the 4-week pilot as implementation partner.
AgenticObjects product · Implemented by D-CAT
PROJECTS
D-CAT data warehouse projects
A selection of the data warehouse and business intelligence projects D-CAT teams have delivered across different industries.
Retail · Burda Market
A retail data warehouse in 30 working days
Started in August 2016, the project went live in 30 working days: a data warehouse, SAP BusinessObjects and users building their own reports.
Read the story
E-commerce · Avansas
One data warehouse for an online office supplier
Data from independent systems was brought into an integrated data warehouse; reporting became faster and the manual work of combining sources disappeared.
Read the story
Manufacturing · Panasonic Eco Solutions Türkiye
A central reporting platform in manufacturing
A new data warehouse brings data that could not be consolidated before into one report, with a simpler universe structure and scheduled, automated report sharing.
Read the story
Manufacturing · Mitsubishi Electric Türkiye
From global sources to a local data warehouse
Data from global source systems now flows into a data warehouse in Türkiye; after a 3-phase project, departments build their own reports.
Read the story
Insurance · Vakıf Emeklilik
A one-page agent scorecard in pensions
Started in October 2014, the project moved AS400 data into a data warehouse on Teradata; each agent's summary now fits on a one-page scorecard.
Read the story
Retail · MOPAŞ
Faster supermarket chain reporting with ETL
Reports slowed down by heavy data flows now run faster on a reporting system built with the ETL solution D-CAT recommended. CIO Awards 2016.
Read the storyFrequently asked questions
Short answers to the questions we hear most often on this topic.
Where does Axoria Data Studio run?
It runs in your own environment (on-premises) and connects to your source systems from your own infrastructure.
Who approves the agents' output?
Your team does. Each agent builds on the output of the one before, and every handover requires human approval; output that hasn't been approved doesn't move on to the next agent.
Does personal data reach the model?
The Privacy agent detects PII fields such as national ID numbers, IBANs, names and email addresses, and transforms them with format-preserving methods before anything reaches the model. It produces output for GDPR and KVKK (Turkish data protection law) compliance.
What does the output look like?
A data dictionary and KPI suggestions, a 0–100 quality score and data quality rules, a visual model and SQL DDL, dashboard wireframes, ETL jobs, and a Power BI-ready semantic model (.axr) with RLS rules.
How does it relate to AgenticObjects?
Axoria Data Studio builds the semantic model; AgenticObjects takes that model as an .axr file and runs analyst agents on top of it. D-CAT is the implementation partner for AgenticObjects and runs the setup.
Let's plan your data warehouse project with Axoria Data Studio
Seven agents, human approval and deployment in your own environment. Tell us about your project and we'll get in touch to arrange a demo.