Turn Your Data Into Decisions

Your data should drive decisions, not sit in silos. We build modern data platforms — from ingestion to insight — and stay accountable for quality, performance and business impact.

Power BIMS SQL ServerPostgreSQLSSIS
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Deka Technology engineers working on data & ai projects
70+
Enterprise clients served
40+
BI platforms deployed
10M+
Records processed daily
99.5%
Pipeline reliability
THE CHALLENGE

The challenge enterprises face

Most enterprises sit on vast data — but can't use it. Reports are scattered, dashboards show conflicting numbers, and decisions rely on gut feeling instead of evidence.

Without clean, governed, accessible data, no AI initiative can succeed. You need a modern data foundation before machine learning or GenAI can deliver value.

OUR APPROACH
01

Assess & Design

We audit your data landscape, identify gaps and design a modern data architecture — lakehouse, data mesh or hybrid — aligned with your business goals.

02

Build & Integrate

We build reliable ETL/ELT pipelines, connect all data sources and deploy analytics platforms with self-service capabilities.

03

Analyze & Scale

From dashboards to ML models, we turn data into decisions. Continuous monitoring ensures data quality and platform performance.

CAPABILITIES

What we deliver

Data Engineering

Reliable, scalable data pipelines and lakehouse architecture for any data volume. We design ingestion, transformation and storage layers that handle millions of records daily with full lineage tracking.

Business Intelligence & Analytics

Reporting, dashboards and operational analytics with Power BI and custom solutions. We build enterprise-wide analytics platforms that provide a single source of truth across departments.

Machine Learning

Predictive models, classification and anomaly detection systems deployed at scale. From demand forecasting to customer churn prediction — ML models that run in production, not just notebooks.

Data Governance

Data quality, cataloging, lineage tracking and compliance management. We implement governance frameworks that ensure accuracy, consistency and regulatory compliance across your data estate.

ETL/ELT Pipeline

Source-to-target data transformation and loading with SSIS, Azure Data Factory, Databricks and more. Batch and real-time pipelines that keep your data warehouse current and reliable.

Data Visualization

Interactive charts, executive-level analytics panels and self-service reporting. We design dashboards that tell stories — not just display numbers — so decision-makers act with confidence.

Drowning in data but starving for insight?

Talk to a data engineer who has built analytics platforms for 24+ enterprises.

Discuss your project
70+
Enterprise clients served
40+
BI platforms deployed
10M+
Records processed daily
99.5%
Pipeline reliability
PROJECT SPOTLIGHT
DATA & BI

Anadolu Efes

CHALLENGE

Scattered reports across 10+ departments, each with its own data sources and conflicting KPIs. No single source of truth for executive decision-making.

APPROACH

We built a centralized Power BI analytics platform, consolidated data from SAP and 6 other sources into a unified data warehouse with automated ETL pipelines.

RESULT

One platform, one truth. Executive dashboards replaced 40+ manual reports. Decision cycle reduced from weeks to hours.

40+ reports replaced10+ sources unifiedReal-time KPIs
USE CASES

Where we apply it

  • Give every department a single source of truth with Power BI
  • Detect anomalies in real time before they impact operations
  • Predict churn and retain high-value customers proactively
  • Replace 40+ manual reports with automated, live dashboards
  • Modernize your data warehouse without losing historical data
TECHNOLOGY

Technologies

Power BIMS SQL ServerPostgreSQLSSISAzure Data FactoryPythonKNIMEDatabricksApache Spark
TECHNOLOGY PARTNERS
Microsoft Microsoft
Cloudera Cloudera
IBM IBM
FAQ

Common questions about data & ai

What data platforms and tools does Deka work with? +

We work with Power BI, Azure Data Factory, Databricks, Apache Spark, SSIS, KNIME, MS SQL Server and PostgreSQL. We also integrate with SAP, Oracle and other enterprise systems. Tool selection is driven by your existing ecosystem.

Can you modernize our existing data warehouse? +

Yes. We migrate legacy data warehouses to modern lakehouse architectures on Azure or Databricks. We handle schema redesign, ETL migration, historical data transfer and parallel operation during transition.

How do you ensure data quality? +

We implement automated data quality checks at every pipeline stage — source validation, transformation rules, reconciliation and monitoring. We also establish governance frameworks with data catalogs, lineage tracking and ownership definitions.

Do you build AI and machine learning models? +

Yes. We build production-grade ML models for demand forecasting, anomaly detection, customer segmentation and churn prediction. Our models run in production with monitoring, retraining pipelines and explainability — not just in notebooks.

What is the typical timeline for a BI platform? +

A focused Power BI deployment with 5-10 dashboards takes 6-8 weeks. A full enterprise analytics platform with data warehouse modernization typically runs 3-6 months. We deliver incrementally — first dashboards go live within weeks.

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No commitment. Just a clear conversation about your project.

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