Analytical center

The Analytical Center is designed for the centralized collection, storage, processing, and analysis of data, enabling effective state support for businesses in Kazakhstan and consolidating disparate information from the Holding's subsidiaries.

The primary concept is to create a unified data management platform that will:

Automate processing workflows,
Minimize manual labor,
Reduce data access time,
Improve data quality for both operational and strategic analysis.
The Analytical Center addresses the issue of data fragmentation caused by numerous scattered sources and formats, which complicates decision-making. It integrates data from subsidiaries and external sources, creating a reliable foundation for analytics to support operational and strategic management.

Key advantages of the Analytical Center

Data centralization: Consolidation of information from all the Holding's subsidiaries and external sources.
Business support: Enhancing the efficiency of government programs aimed at supporting entrepreneurship through analytical case studies.
Analytical power: Development of a platform for creating dashboards, calculating metrics, and visualizing data.
Data historicization: Ensuring long-term data storage and enabling retrospective analysis.
Faster decision-making: Providing users with timely and up-to-date information.
Cost reduction: Automating data integration and processing workflows.

Working solution

Financial industry

Realized indicators (e.g., resource savings, productivity growth):

Achieved significant cost reductions and operational efficiency improvements through data integration and machine learning algorithms.
Enhanced business decision-making and operational strategies.
Impact on business or society:

Contributed to the economic development of Kazakhstan by analyzing and improving the efficiency of government support programs.
Supported the agricultural sector by providing data-driven insights for machinery updates, improving sector efficiency.
Connected data sources:

Integrated 21 information systems
Utilized 5 external sources:
KASE
National Bank of Kazakhstan (NBRK)
Kazakhstan Revenue Committee (KGD)
SDU
BNS
Loaded over 950 data tables from these sources.
Data processing and storage:

Designed and developed over 1260 tables in the data warehouse.
Created over 1100 data transformations.
Developed more than 20 data marts.
Applied machine learning algorithms to enhance data analysis.
Visualization:

Developed case studies for:
Agricultural sector performance
Effectiveness of state support programs (SSP)
360-degree customer profiles
Compliance with request processing regulations
Designed 55 informational dashboards with real-time data visualization.
Case Examples:

Effectiveness of State Support Programs:
The analytical center (AC) evaluated the effectiveness of government support measures based on key indicators like payroll funds and tax revenues from businesses receiving aid. This analysis helped assess the impact of support on the financial stability and growth of companies and the contribution to the economy through taxes.
Agricultural machinery update analysis in Kazakhstan:
The AC conducted a comprehensive analysis of the agricultural machinery sector in Kazakhstan, using data to evaluate the rate and volume of equipment updates via the financial instruments of the “Baiterek” Holding. This case helps assess the justification of current investments and plan future machinery upgrades to improve the agricultural sector’s efficiency.

Economic impact (e.g. increased profits or reduced costs).
Social or environmental impact.

Data enrichment from official sources:
The Unified Data Warehouse (UDW) is integrated with the SmartDataUkimet platform and other official external sources, ensuring the accuracy and relevance of the information.

Implementation of Local Data Warehouses (DWH):
Within the unified UDW, local data warehouses have been implemented for each subsidiary, allowing for the accommodation of their individual needs and characteristics while maintaining the overall structure.

Storytelling capabilities:
The platform allows for the creation of analytical cases and visualizations that simplify data interpretation and improve decision-making quality.

Application of Machine Learning models:
AI models are used for data analysis.

Complete data automation:
The data center operates exclusively with data from information systems (IS), eliminating manual input. This enhances accuracy and reduces the risk of errors.

Uniqueness within the Holding:
For the first time in the history of the Holding, a full-fledged UDW system has been implemented, incorporating analysis and automation tools for 150 key performance indicators.

Scaling Opportunities:

Full-scale adoption and integration into business processes across the group of companies.
Potential development directions:

Development of Data governance:

Introduction of a unified directory across the group of companies to standardize data.
Strengthening data quality control at the source level.
Gradual implementation of the Chief Data Officer (CDO) role to coordinate data management processes.
Automation of management processes:

Real-time monitoring of key performance indicators using the Analytical Center (AC).
Development of operational reporting and implementation of tools for data monitoring.
Enhancement of analytical capabilities:

Creation and implementation of new analytical cases for various business directions.
Use of predictive models for strategic planning and trend analysis.
Application of Data Science methods and Artificial Intelligence (AI):
Machine learning-based scoring (Pilot project underway).
Forecasting and modeling business processes.
Optimization of business processes using analytical tools.
Collection and analysis of Big Data:

Expanding the capabilities for storing and processing large volumes of data.
Integration with external platforms to increase data volume.
Digitization and strategic development:

Building infrastructure for long-term use of analytics.
Improving the company’s maturity in data management through the implementation of modern technologies and tools.

Subsidiary organizations Participating in the AC:
"Entrepreneurship Development Fund 'Damu'" JSC;
"Development Bank of Kazakhstan"JSC ;
"Industrial Development Fund" JSC;
ESC "KazakhExport" JSC;
"Kazakhstan Housing Company" JSC;
"Qazaqstan Investment Corporation" JSC;
"Agrarian Credit Corporation" JSC;
"KazAgroFinance" JSC.
Also participating in the AC:
"NIT" ("Smart Data Ukimet") JSC.
-А2DATA