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27.04.2025 | 2 minute read

Data Integration & Business Intelligence

Data integration is the first and hardest step in taking advantage of your data. It is the hardest step because it requires detailed planning, scalable systems and it could be quite expensive to setup initially. We belive that businesses should view data integration as a stepping stone to eliminating data silos across their operations, building foundations for faster and smarter business decisions and a doorway to analytics, forecasting and AI initiatives.

What we deliver:

  • ETL/ELT Pipelines – Clean, transform, and load data from multiple sources efficiently;
  • Real-Time Data Integration – Synchronize systems and enable live insights;
  • Business Dashboards – Custom-built visualizations tailored for you;
  • Automated Reports – Reduce manual work with scheduled and on-demand reports;
  • Data Warehousing – Centralize and scale data access using modern data stacks.

FAQ

Data integration is the process for combining data from different sources to provide a unified view.

The process involves setting goals, evaluating existing data infrastructure, defining scope and purpose, selecting integration technologies, designing the system and implementation.

Business intelligence (BI) aims to describe past occurrences using historical data. The exploration of historical data can guide future business decisions.

They are different technologies that complement each other. In BI "intelligence" refers to smarter business decision-making provided by visualization and data analysis. In AI "intelligence" refers to computer intelligence which is the ability of a computer system to perform taks without explicit instruction. This is achieved by relying on patterns and inference. An example is a machine learning algorithm.

Dashboards provide real-time visual insights into KPIs and performance metrics. They make complex data easy to understand, helping stakeholders make faster, informed decisions.