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Development of an analytical platform for data collection
and reporting
15
5
the speed of management decision-making has increased
from 1-2 days to
by
reduced labor costs
for collecting reports
for collecting reports
min
times
Customer
Mining and metallurgical holding company: 53 enterprises, 72,000 employees
CHALLENGES/FEATURES
inaccurate reporting by the holding company; key performance indicators were calculated differently at different enterprises
the holding's enterprises and departments work with data autonomously
disparate IT systems, some of which are outdated
reports are collected manually
low speed of information collection for making management decisions
financial losses and employee demotivation
Collecting data from autonomous IT systems to generate regulatory reporting for the holding company
Task
Technical solution
1. Conducted an analysis of current IT systems - from data collection and storage to data processing and analysis
2. Integrated 20 IT systems:
3. Automated data loading from various heterogeneous sources and developed our own framework
1C: ZUP 8
FriendWork
production relational and non-relational DBMS
streaming data from telemetry sensors
manual data entry systems (Totum, etc.) and Excel
4. Ensured data quality management, accuracy, and relevance at all stages of information transfer, and developed our own framework
5. Developed 150 reports—dashboards, screen forms by blocks:
staff
finance
ore production
Project under NDA
An example of a dashboard for finished product output in Power BI
6. Implemented data processing algorithms: data extraction, transformation, enrichment, and data mart creation for 300 source tables:
organizational structure of the enterprise
NSI
steel production at the holding's enterprises
employees, etc.
Business values
An analytical platform for generating management reports
with a single point of truth (Single Source of Truth)
with a single point of truth (Single Source of Truth)
all users and systems have access to a single data source
The speed of making management decisions increased from 1-2 days to 15 minutes
Saving resources
reduced labor costs for reporting collection by 5 times
Import independence of software
Greenplum
information is reliable, relevant and consistent
Production efficiency
minimized financial risks by improving the quality and speed of making management and operational decisions based on the information collected
Reduced payroll costs by 3 times through automation of routine data collection tasks
S3 Minio
Apache Airflow
Python-based framework + Airflow
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Development of software
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and Big Data solutions
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