Мы используем файлы cookie для быстрой и удобной работы сайта. Выберите, какие файлы cookie вы разрешаете нам использовать. Подробнее в Политике конфиденциальности.
We use cookies to ensure our website works quickly and easily. Choose which cookies you allow us to use. Learn more in our Privacy Policy.
Обсудить проект
Отправьте запрос, и наши специалисты свяжутся с вами в течение 1 часа
Нажимая кнопку «Отправить», Вы даете однозначное согласие на обработку своих персональных данных в объеме и с целями, определенными Политикой в отношении обработки персональных данных.
Discuss the project
Send a request and our specialists will contact you within 1 hour.
By clicking the "Send" button, you give your unambiguous consent to the processing of your personal data to the extent and for the purposes defined in the Personal Data Processing Policy.
Consulting and survey of IT infrastructure
and architecture of data storage, processing and visualization systems
15
30
analyzed
source
systems and
systems and
options for data storage and processing systems
Customer
A large transport company with 25 branches, subsidiaries and joint ventures
CHALLENGES/FEATURES
1. Lack of a unified digital ecosystem:
imperfect data synchronization between current IT systems
Slow change implementation due to complex and outdated systems slowed response to market demands and increased the risk of errors and data loss
The monolithic architecture of IT solutions and their reliance on outdated technologies created compatibility issues and complicated the implementation of modern solutions.
The scaling process was difficult: each new division presented a separate integration challenge
2. Poor quality of data from many sources limited the effectiveness of managers at different levels in making management decisions
3. Cloud implementation of IT infrastructure
Pre-project review of the customer's IT infrastructure, source systems, and reports, preparation of a review report, and drafting of specifications for the transition to a modern data storage, processing, and analysis architecture
Task
Technical solution
architectural model of the current solution for storing, processing and analyzing data
functional architecture To Be
To Be component architecture
conceptual data model for 3 indicators
formalization of the register of sources, business glossary and list of indicators
Business values
Отчет о предпроектном обследовании
analysis of bottlenecks in the current architecture and data management processes
ТЗ для перехода на современную архитектуру хранения, обработки и анализа данных
As Is architecture model
list of current sources and integration methods, volumes of downloaded data
architectural solution diagram
list of sources for integration
list of indicators and method of their calculation
data quality requirements
business glossary
data catalog
15 source systems were analyzed
30 options for data storage and processing systems (DBMS, ETL, DG, DQ, BI solutions) were analyzed
analysis of the current level of maturity in data management - data quality processes, cataloging, business glossary
recommendations for increasing the level of maturity in terms of data management and the transition to modern architectural components
non-functional requirements for the system, including scalability and performance
functional requirements; list of subsystems, their interrelations, list of components and functions of each component
other sections of the technical specifications completed in accordance with GOS
By clicking the "Submit" button, you expressly consent to the processing of your personal data to the extent and for the purposes defined in the Personal Data Processing Policy.
Development of software
and Big Data solutions
and Big Data solutions
Send a request and our specialists will contact you within 1 hour.
Choose a convenient method of communication
You can attach three files up to 3 MB each. Formats: doc, docx, pdf, ppt, pptx
Сообщение об успешной отправке!