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Business Intelligence & Data Warehousing
Do you need to unify your complex data to maximize business performance? We have the answer.
Business Intelligence and Data Warehousing Services
We offer end-to-end Business Intelligence and Data Warehousing services, with a single user interface for accessing data sources from across all enterprise departments to find any required production process data.
Data warehousing and business intelligence are similar concepts – in that they involve the storage of data – but have some significant differences. A data warehouse collects and stores data from various sources, organised in a way that supports BI activities; it’s essentially a relational database that aggregates structured data from across an organisation. Business Intelligence adds data analysis to the mix, in the form of reports, dashboards and visualisations, allowing for better business decision-making by ensuring decisions are strategic, backed up by hard data.
Our expertise in Business intelligence includes:
Developing a strategy for implementing business intelligence systems:
- Determine the content that should be analyzed to improve business performance
- Identify opportunities to obtain the required data
- Design a Targeted Business Intelligence Architecture
- Identify required changes in business processes, customize accounting systems, and modify reporting forms to implement business analysis systems
- Develop and implement KPIs
Development of functional and technical requirements:
- Customer Business Process Survey, Consolidation and Formalization of Business Requirements for Business Analysis Systems
- Development of documents – “Terms of Reference,” “Functional Requirements,” etc.
- Customer IT Landscape Survey
- Create technical requirements, IT architecture of systems based on identified business requirements and whilst taking into account the existing IT infrastructure
- Development of recommendations on selection of BI-solutions that meet the formed functional and technical requirements
- Preparation of documents – “Technical Design,” “Technical Specification,” “System Architecture Description,” etc.
Data Source Analysis:
- Survey of data sources for the business analysis system
- Definition, formalization of the composition of objects and attributes required for further analysis
- Segmentation of data by their significance for analysis
- Identify opportunities to expand the content of the data received using external additional sources
System Interface Design:
- Investigate customer business processes, identify optimal scenarios for data analysis
- Design of analytical panels according to analysis scenarios, special requirements of the customer (corporate design, brand book), visual capabilities of the selected platform
- Design of dashboards, prototyping, etc.
Setup and development of analytical panels, dashboards, routine reports:
- Development of a data model for analytical reporting on the BI platform
- Development of scripts for loading data (from sources, data marts) into the analytical application data model
- Development of the visual part of the business analysis system – analytical reports (panels, dashboards)
- Developing routine reports and set up periodic delivery of reports to users
- Implementing Access Delimitation Rules at the Report or Data Level within a Single Report
Technical Support and Audit of Analytical Solutions:
- Consulting on the functionality and characteristics of the business analysis system, auditing the settings of the BI system
- Analyse and provide instructions for correcting system errors
- Analyse and correct system user errors or errors made when configuring a business analysis system
- Business Analysis System Modifications, Documentation of Modifications
- Development and updating of documentation
- Interaction with the manufacturer of business analysis systems in terms of generating requests for correction of detected software errors and providing the customer with information on the results of the requests
- Communicate new releases and functional changes to the business intelligence platform
- Migrating Business Analysis Systems to New Software Versions
- Monitor and identify performance bottlenecks for analytical applications
- Optimizing developed functionality to improve performance (ETL, data model, calculations, etc.)
The Benefits of BI and Big Data
- Easier decision-making thanks to appropriate indicators
- Consolidation of all data
- Delivering information
- Effortless visualization through reporting and dashboarding
- Information analysis and organisation
Technology
- Oracle
- Microsoft
- DOMO
- Cloudera
- Tableau
- Click
- Apache Superset
- Informatica