New · We are an implementation partner for AgenticObjects: analytics agents that work on top of your data warehouse, starting with a 4-week pilot. See how the pilot works
Enterprise business intelligence, data platforms and AI · since 2006

From data to decisions. In weeks, not months.

For 20 years we have built the data warehouses, reporting and analytics of leading organizations in Türkiye. Today we put that same expertise to work with AI agents.

Impact in the field

Leading organizations in Türkiye base their decisions on data, with D-CAT

From banking to retail, from energy to healthcare: more than 1,000 projects in 20 years, from award-winning work to data warehouses that went live in 30 working days.

Finance professional reviewing charts on several screensHealthcare professional sharing information on a tabletSupermarket shelvesEngineer using a tablet in a factoryAdvisor reviewing documents with clientsCustomer service team at work

Banking · Alternatif Bank

An SAP BusinessObjects project completed in about 80 days, including end-user training. Alternatif Bank was among the winners of the CIO Awards 2016.

Read the success story

Healthcare · Anadolu Sağlık Merkezi

All senior management reports on one Microsoft Power BI platform, with IBCS-standard visuals and without sensitive data leaving for the cloud.

Read the success story

Retail · Burda Market

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 success story

Manufacturing · Mitsubishi Electric Türkiye

Data from global source systems now flows into a data warehouse in Türkiye; after a 3-phase project, departments build their own reports.

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Insurance · Vakıf Emeklilik

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.

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Customer experience · Turkcell Global Bilgi

The Turkcell Global Bilgi SAP BI Platform project won Bronze at the Stevie Awards 2015; the first phase of the 5-phase dashboard project was completed in 60 days.

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20

years of enterprise data and business intelligence experience

1,000+

business intelligence, data warehouse and AI projects delivered

331+

enterprise customers, from finance to healthcare

9

industries, each with its own data landscape

Products

Model, analyze and converse on one data backbone

From the data warehouse to analytics agents and conversational AI: each layer works on its own and is stronger together.

Server racks in a data center
Model

Axoria Data StudioAgentic data warehouse studio

Accelerates enterprise data warehouse projects with AI agents. From discovery to pipeline, seven agents feed into one another: people direct, agents execute.

  • Privacy, Explorer, Guard, Architect, Mockup, Pipeline and Pulse agents
  • A data warehouse delivery expected to take 6 months, done in 6 weeks
  • A Power BI-ready semantic model on top of your existing data platform
Analyst reviewing data dashboards on two screens
Analyze

AgenticObjectsWith D-CAT as implementation partner

AgenticObjects product · Implemented by D-CAT

A team of analysts working on top of your data warehouse. In scheduled runs it records each Finding with its evidence and answers questions with a link to the source; interpretation and decisions stay with you.

  • Two modes of work: Autonomous analyst and Conversational analyst
  • Read-only access; the application runs on your own server
  • D-CAT handles the connection, the semantic model and the 4-week pilot
Support team with headsets working on laptops
Converse

OrixEnterprise chat assistant

Conversational AI that works with your organization's own documents and procedures. Employees find information and procedures simply by asking.

  • Field assistants for HR, stores and franchises
  • Process assistants for finance, documents and IT
Industries

Every industry has its own data landscape

Industry-specific products and 20 years of project experience: 331+ enterprise customers across 9 industries.

The market reality

The problem isn't a lack of tools. What's missing is the bridge from data to action

60%

of AI projects unsupported by AI-ready data will be abandoned through 2026.

Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk”, February 2025
80%+

of AI projects fail, and data is one of the leading root causes.

RAND, “The Root Causes of Failure for AI Projects”, August 2024
Our answer

Two directions. One loop.

We accelerate business intelligence projects with AI agents, and we run AI projects with 20 years of business intelligence discipline.

AI-Driven BI

Business intelligence, accelerated by AI

We accelerate business intelligence projects with AI agents.

  • Data warehouse implementation: weeks instead of months
  • Dashboard development: hours instead of weeks
  • Budget consolidation: from manual month-end work to a continuous flow
Axoria Data Studio
BI-Driven AI

AI, disciplined by business intelligence

We run AI projects with 20 years of business intelligence discipline.

  • Every project is built on data and acceptance criteria
  • Data quality discipline before any modeling starts
  • Performance tracking, auditing and monitoring in production
The BI-Driven AI manifesto

Two directions that feed one loop. That is where the D-CAT difference begins.

How mature is your analytics?

Let's work out together where your organization sits in the five-layer maturity model, and where your next step will deliver value fastest.

What happened?Why did it happen?What could happen?Which option?What are we missing?
Our 20th year · A new chapter

Let's plan your next step together

Let's assess your data maturity together, and we'll show you which product will deliver value for you fastest.

ISO/IEC 27001GDPR · KVKK compliantSince 2006Istanbul · Avcılar Technopark · Pendik R&D · Tallinn