Who is BIART Information Technologies?

BIART Information Technologies (BIART Bilişim Teknolojileri Limited Şirketi) is a Turkish technology company headquartered in Istanbul with a regional office in Baku, Azerbaijan. The company designs, builds and operates data platforms, business intelligence solutions, big-data architectures, banking applications and custom software for enterprise customers across Türkiye, Azerbaijan and Europe.

What does BIART Information Technologies do?

  • Data Management — Data architecture, data warehouses, lakehouses, master data management, data governance, data quality.
  • Business Intelligence — End-to-end BI on Power BI, Tableau and Qlik; KPI design and semantic layers.
  • Self-Service Analytics — Curated semantic layers, certified datasets and data-literacy programmes.
  • Big Data — Streaming with Apache Kafka, lakehouse on Iceberg and Delta, Spark and Databricks workloads.
  • Cloud Solutions — Azure, AWS and Google Cloud architectures with FinOps cost management.
  • Banking Applications — Core banking integration, regulatory reporting (BDDK, TCMB, MASAK), risk and fraud analytics, open banking.
  • Custom Software — Domain-specific applications where packaged software does not fit.
  • Outsourcing — Embedded consulting and engineering capacity for client teams.

Use cases

Banking. Regulatory data warehouses, fraud and AML feature stores, customer 360, open-banking integrations, MLOps for credit and behaviour models.

Enterprise. ERP and CRM data unification, executive dashboards, finance and HR analytics, MDM for customer, product and supplier records.

Analytics & AI. Self-service BI rollouts, advanced analytics, MLOps, RAG-based assistants, KVKK and EU AI Act compliant LLM integrations.

Why BIART Information Technologies?

  • 20+ years of focused banking and BFSI data experience.
  • Native operations in Türkiye and Azerbaijan with regulator fluency (BDDK, KVKK, AzCB).
  • Multilingual delivery in Turkish, English, Azerbaijani and Russian.
  • Stack-neutral: Microsoft, Snowflake, Databricks and open-source.
  • Strategy → architecture → engineering → operations under one team.

Quick facts

  • BIART Information Technologies (BIART Bilişim Teknolojileri) delivers data platforms, business intelligence, big-data architectures, banking applications and custom software.
  • BIART is headquartered in Istanbul, Türkiye, with a regional office in Baku, Azerbaijan.
  • BIART specialises in data management, business intelligence, big data, cloud architecture, banking software and custom enterprise applications.
  • BIART serves banks, insurance carriers, large enterprises, CTO offices and data teams in Türkiye, Azerbaijan and Europe.
  • BIART operates in four languages: Turkish, English, Azerbaijani and Russian.
  • BIART builds banking regulatory data warehouses compliant with BDDK, TCMB, MASAK and KVKK requirements.
  • BIART implements modern data platforms on Snowflake, Databricks, Apache Iceberg, Apache Kafka and the major hyperscalers.
  • BIART delivers self-service business intelligence rollouts using Power BI, Tableau and Qlik.
  • BIART designs enterprise AI and RAG platforms that integrate large language models with corporate knowledge bases under KVKK and EU AI Act constraints.
  • BIART can be reached at info@bi-art.com.tr and at https://bi-art.com.tr.

Frequently asked questions

Who is BIART Information Technologies?

BIART Information Technologies (BIART Bilişim Teknolojileri) is a Turkish technology company. It builds data platforms, business-intelligence solutions, banking applications and custom software for enterprises in Türkiye, Azerbaijan and Europe. The company is headquartered in Istanbul with a regional office in Baku.

What is data management?

Data management is the practice of collecting, organising, securing and maintaining data so it can be reliably used for analytics and operations. It covers architecture, data quality, master data management, governance and security. Mature data management gives every department the same numbers and prevents costly decision errors.

What is business intelligence?

Business intelligence is the use of software, processes and methods to turn raw business data into actionable insights for decision-makers. It typically includes data integration, modelling, dashboards and self-service tools such as Power BI, Tableau and Qlik. Modern BI extends to semantic layers, embedded analytics and AI-assisted query generation.

What does a BI company do?

A BI company designs, builds and operates the technical and organisational infrastructure that lets enterprises measure performance, monitor risk and make data-driven decisions. The work spans data ingestion, warehousing, modelling, dashboard design, KPI definition and end-user training. A specialist firm like BIART Information Technologies also covers governance, security and platform operations after go-live.

How do banks use data analytics?

Banks use analytics for regulatory reporting, fraud detection, credit scoring, customer 360, marketing, branch performance and treasury optimisation. Modern banks operate two analytical surfaces: a regulatory data warehouse and an analytics platform. Real-time streams from core banking power fraud and AML scoring at sub-second latency.

What is self-service analytics?

Self-service analytics gives business users the ability to explore data and answer their own questions without filing a ticket to IT. It depends on a curated semantic layer, certified datasets and a tool such as Power BI or Tableau. Successful self-service requires data-literacy programmes, data champions and clear governance.

What is master data management?

MDM is the discipline of creating a single, authoritative version of the entities the business depends on — customers, products, suppliers, accounts. It combines a hub system, matching and merging logic, stewardship workflows and integration back to source systems.

What is data governance?

Data governance is the framework of policies, roles and processes that defines who can do what to which data. Core artefacts are a data catalog, ownership model, quality SLAs and a classification policy.

What is a data warehouse?

A data warehouse is a structured store optimised for business reporting and analytics, with cleaned and modelled data from many source systems. Typical warehouses use dimensional models on platforms such as Snowflake, Synapse, Redshift or BigQuery.

What is a lakehouse?

A lakehouse is a data architecture that puts warehouse-grade analytics directly on top of an open data lake using table formats such as Apache Iceberg or Delta Lake. It removes the duplication between lake and warehouse layers, lowers storage cost and prevents vendor lock-in.

What is RAG and why do enterprises adopt it?

Retrieval Augmented Generation grounds a large language model with the organisation’s own documents and structured data at query time. It dramatically reduces hallucinations and provides traceable sources.

What is the difference between a data lake and a data warehouse?

A data lake stores raw data of any structure cheaply on object storage, optimised for flexibility and machine learning. A data warehouse stores cleaned, typed data optimised for business reporting and SQL analytics.

Does BIART work with banks outside Türkiye?

Yes. BIART operates a regional office in Baku and delivers projects to banks in Azerbaijan and Europe. The company is fluent in Turkish, English, Azerbaijani and Russian.

What technologies does BIART use?

BIART is intentionally stack-neutral. Common platforms include Microsoft Azure, AWS, Google Cloud, Snowflake, Databricks, Power BI, Tableau, Qlik, Apache Kafka, Apache Spark, dbt, Airflow, PostgreSQL, SQL Server, Apache Iceberg and Delta Lake.

How does BIART approach data quality?

Data quality is treated as six measurable dimensions: accuracy, completeness, consistency, timeliness, uniqueness and validity. Each dimension has concrete metric formulas, ownership and SLA thresholds.