Business intelligence (BI) is a key data-driven process of understanding your business. It helps organizations make better decisions based on real-time information by displaying current and historical data on their operations. Reporting available in BI systems allows companies to keep track of their performance and make better-informed decisions.

• Business consulting in scenarios of analysis and building up dashboards for top management
• Developing large enterprise projects with high load (1000+ users) and complex architecture with 10/20/50+ data sources
• Prototyping UI/UX design for BI and data products

Data warehouses are a vital component of business intelligence. A data warehouse stores data from multiple sources in a single location. New data can be periodically added by people across organization thus becoming a library of historical data to be retrieved and analyzed in order to inform decision-making in the business.

• Advisory, implementation, support and migration to high-performing DWH and Data platforms
• Building up robust Big Data DWHs and databases

Data Governance is a concept that ensures data is secure, private, accurate, available, and usable. It includes all the actions employees should take, the processes they should follow, and the technology that supports them throughout the data life cycle (Data Quality, Data Lineage, Business Glossary, etc).

We improve reliability, security and accessibility of data by implementing comprehensive data management strategies, supported by appropriate technical solutions.

When do you need that?

• When you struggle to get necessary information from your data warehouse due to the lack of documentation,
• When you want to introduce data-drive decision making,
• When your data science team spends too much time looking for data instead of working with it,
• When you are not satisfied with the amount of effort you need to troubleshoot the dashboards,
• When different departments of your company don’t use the single business terminology and it affects communication,
• When the rules concerning security of your data are unclear and access policies are not defined.

We change the way you work with data

• by analyzing business processes related to data management in your company to identify areas for improvement and ensure adherence to data governance best practices,
• by organizing and managing your data assets in a centralized catalog, providing a clear view of available datasets and their origins,
• by reengineering those processes, appointing data stewards and data owners responsible for supporting Data Governance framework,
• by implementing company-wide Data Governance standards and policies in accordance with Data Management Body of Knowledge (DMBoK),
• by ensuring Data Quality.

We reinforce Data Governance practices by introducing

• Data Catalog
• Business Glossary
• Data Lineage
• Data Quality Management
• Master Data Management systems (MDM)

Solutions based on ML and Big Data can generate insights from raw data. These tools are used in a number of cases to forecast demand and customer behaviour, prevent fraud and raise sales efficiency.

• Designing optimized processes (pricing / assortment / CJM / etc.), ML tactics in company and roadmap,
• Development and implementation of ML models (including implementation in mentioned processes),
• Continuous monitoring and tuning of ML models for greater accuracy.

We carefully design educational projects on data visualization skills and modern technologies – from hands-on trainings on Qlik and Microsoft, profound open source topics to full-scale data marathons.

We deliver educational projects on data visualization skills which combine theory and practice:

• Data literacy + self-service
• Microsoft Power BI
• QlikView, Qlik Sense
• UX/UI design
• Scenario Analysis
• Apache Airflow/Spark
• Evolution of data platforms