Rollout of BI systems and business analytics solutions

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About the solution

BI (Business Intelligence) analytics is predominantly used for analysis and integrated processing of huge volumes of different information, with the focus on key performance indicators and modeling of potential results. BI system rollout enables making efficient and justified business decisions based on visualization, modeling of different scenarios and their outcomes, as well as monitoring actual results of decisions applied.

The diversity of business solutions within the framework of business analytics implementation in operations of a company covers everything, from day-to-day operations to strategic planning. Operational solutions may comprise in particular the choice of the pricing strategy or product positioning. Strategic solutions include in their turn such aspects as prioritization, objective setting, and determining the basics. Optimal efficiency of BI analytics is achieved when pooling information from the environment where the company is functioning with data from internal sources and systems, such as financial reports and performance indicators. They create an integral vision of the business, providing access to structured analytical opportunities.

Capabilities of BI analytics

Information gathering from sources of different types and formats

BI system rollout enables aggregation of information from databases, CRM and ERP systems, and other platforms. It generates a holistic view of the business and its actual status.

Analysis for absence of mutual exclusions and contradictions

BI solutions support complex analytical capabilities, making possible to put forward working hypotheses against the comprehensive benchmarking of gathered data, eliminating contradictions and other problems.

Information structuring

BI platforms utilize algorithms of natural language processing to retrieve useful information from non-structured sources, such as customer feedback or textual reports, for the purpose of their visualization and further use.

Meta data and information retrieval from open or unindexed sources

with their further automated tagging, visualization and structuring by type within BI framework.

Enrichment of gathered information

on account of complementing from other sources and sorting out information of low significance in the BI system.

Creation of repository with versioning

BI analytics makes it possible to retrospectively receive data about changes in information significant for the business on the basis of different versions stored in databases.

Information storage in the structured form

with the aid of BI supports quick organization, inquiries and analysis, which expedites decision-making.

Integration with other systems

BI integrates easily with services and apps, making it possible to use data from different sources for an unbiased and comprehensive analysis.

Technologies

Open Source platforms

Apache Superset, Pentaho BI

BI-platforms

Qlik Sense, Tableau, MS PowerBI, Oracle BI, Cognos IBM

Business benefits

Increasing the transparency degree of routine business processes owing to availability of any categories and tiers of information within the framework of the common repository for data gathering and processing, and for their detailed analysis
Enhancing overall quality and current status of data either in the systems where gathering is performed or in the data repository used by the company It provides for more efficient use of data to build up reports and strategies
Reducing the degree of load on available sources of gathering and preparing analytical reports and data inquiry from various systems
An opportunity of requesting retrospective data if necessary, starting from the time of gathering and BI system operation, which is particularly significant for the strategic analysis and monitoring of changes