02 · Data & Business Intelligence

Data & Business Intelligence

We connect scattered data sources into one reliable foundation and make it decision-ready — from data engineering and ETL through data warehousing and lakehouse to analytics, machine learning and dashboards. Whether Microsoft Fabric, Power BI, Tableau, Superset, Oracle OBI or SAP — we deliver the visualization that fits your stack.

Focus areas

Data Engineering & ETL

Robust pipelines and integration with DataStage, SSIS, Oracle ODI, Azure Data Factory and Spark.

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Data Warehousing & Lakehouse

Central data models with SAP DWC, BigQuery, Microsoft Fabric and Hadoop/Cloudera.

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BI & Visualization

Dashboards and reporting with Power BI, Tableau, Superset, Oracle OBI, QlikSense and SAP SAC.

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Machine Learning & AI Analytics

Forecasting, segmentation and ML models — including SAP analytics scenarios.

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Technologies

Data engineering & ETL

IBM DataStage Microsoft SSIS Oracle ODI Talend Python Apache Spark SAP DWC Azure Data Factory GCP Dataflow

Databases

MS SQL Server Oracle Exadata PostgreSQL MySQL MariaDB MongoDB Google BigQuery Amazon Aurora Clickhouse Apache Hive Cassandra Elastic

Big data & streaming

Hadoop on Cloudera Apache Spark Apache Kafka MinIO

Reporting & visualization

Microsoft Power BI Microsoft Fabric Tableau Apache Superset Oracle OBI SQL Reporting Services QlikSense SAP SAC

Frequently Asked Questions

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

A data warehouse stores structured data for reporting. A lakehouse combines structured and unstructured data on one platform — more flexible and cost-efficient for modern analytics.

How long does a BI solution take to implement?

An MVP with initial dashboards and automated reports typically takes 6–10 weeks. Complex data mesh architectures require 3–6 months.

Which BI tools are supported?

Power BI, Tableau, Looker, Metabase and custom dashboards. We advise technology-neutral and select the tool based on your requirements.

Can real-time data be processed?

Yes — with Apache Kafka, Spark Streaming or Flink. From event streaming to real-time dashboards, we cover the entire real-time pipeline.

Let’s talk about your initiative.

Contact

Blog

Data & Business Intelligence

Data Engineering & ETL

Data Warehousing & Lakehouse

BI & Visualization

Machine Learning & AI Analytics

Let’s talk about your initiative.

ETL Platform with KNIME in Logistics

Power BI: Building a Single Source of Truth

From Excel to Enterprise BI: Migration Guide

Data Quality: Why 80% of AI Projects Fail

Software Development

Cloud & Infrastructure

Digital Transformation