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IT consulting
Get advice from DUC Technologies experts on how to improve your data management maturity
and begin using AI technologies.
and begin using AI technologies.
Consulting on the development of AI, generative AI, and its integration into a company's business processes
Development, implementation, and support of a Data Office construction methodology
Python code auditing and refactoring, other languages upon request
Information security (IS) audit
Corporate Data Warehouse (CDW) Audit
scientific
approach
work orientation
with data
guarantee
12 months
Our projects
15
30
analyzed
source systems
options for data storage and processing systems
How to obtain detailed specifications for the transition to a modern data storage, processing, and analysis architecture
Consulting and survey of IT infrastructure and architecture of data storage, processing and visualization systems
5
3
analyzed
sources of legal entities and individuals
prototype model
How to identify key areas and methods for optimizing procurement activities based on market trends and analyze data sources to automate procurement activities
Pre-project review of procurement business processes
according to the supplier rating
>100
7
database entities
for migration analyzed
for migration analyzed
source systems
How to implement a modern data processing and storage architecture for migration from Oracle in terms of user segmentation for a CDP system
Audit of IT infrastructure and current data storage systems
for the implementation of a CDP system
for the implementation of a CDP system
and 2 BI solutions analyzed
15
30
analyzed
source systems
options for data storage and processing systems
How to obtain detailed specifications for the transition to a modern data storage, processing, and analysis architecture
Consulting and survey of IT infrastructure and architecture of data storage, processing and visualization systems
5
3
analyzed
sources of legal entities and individuals
prototype model
How to identify key areas and methods for optimizing procurement activities based on market trends and analyze data sources to automate procurement activities
Pre-project review of procurement business processes
according to the supplier rating
>100
7
database entities
for migration analyzed
for migration analyzed
source systems
How to implement a modern data processing and storage architecture for migration from Oracle in terms of user segmentation for a CDP system
Audit of IT infrastructure and current data storage systems
for the implementation of a CDP system
for the implementation of a CDP system
and 2 BI solutions analyzed
Select a service
Consulting on AI development and the application of generative models for the company's business processes
Automation and optimization of the company's business processes through the implementation of AI technologies
assessment of the company's maturity level and the degree of current automation
ranking proposals based on the potential economic impact of implementation, solution cost assessment, complexity, data availability, and our experience
developing proposals for the implementation of AI for specific business processes, consulting with experts, and conducting interviews with the customer's specialists
Tasks
selection of 2-3 most promising solutions, assessment of the potential economic effect from implementation
assessing the feasibility of implementing generative AI into a company's business processes
generating a report on potential AI cases, ranking, and economic impact
number of hours for training, consulting, and solving specific problems
What you will get
a report on potential AI implementation cases, with potential and ranking
a separate report item on the potential for implementing generative AI
selected 1-2 most potential cases
A roadmap, budget, and MVP project plan will be created for implementing one AI use case into a specific business process
the generated potential economic effect from the implementation of AI
modern data management practices DAMA-DMBOK
maximum efficiency of data management
accumulated expertise from dozens of projects on building data warehouses and data lakes
Methodology and construction of Data Office
development, implementation, support
Data Office Structure Diagram
Development of methodology
Implementation
Support
Development of methodology
01/03
1. Development of a methodology for implementing Data Office for a specific company
2. Development of recommendations to minimize data duplication
3. Development of a data reuse concept
4. Developing common rules for user collaboration with various elements of the data warehouse, data lake, and other systems in the company landscape
2. Development of recommendations to minimize data duplication
3. Development of a data reuse concept
4. Developing common rules for user collaboration with various elements of the data warehouse, data lake, and other systems in the company landscape
Implementation
02/03
Implementation of the Data Office development methodology, consulting and user support during the operational phase
Support
03/03
Verification of the company's work according to the developed Data Office methodology
Identifying problem areas and bottlenecks
Python and other language code auditing and refactoring on request
Are you planning to hand over your project to a new contractor?
Audit
Checking the security and standardization of the code of an IT application or system
FOR WHAT:
Assess the code quality of a finished software product
Check the level of professionalism of the team that wrote the code
Optimize IT solution performance
Refactoring
Making code more understandable, readable, and maintainable
FOR WHAT:
Reduce the number of errors
Improve code observability and manageability
Reduce the time it takes to integrate new features into legacy code
Audit + refactoring
implementation of generally accepted standards into the code base
FOR WHAT:
Find and fix problematic areas of code as quickly as possible
Make the code easy to read
assistance in removing difficult to maintain objects
development of a methodology for porting code to various environments
Optimizing the process of making identical changes to different parts of the code
Timing of audit and refactoring
2-4
weeks
Technology stack
UX/UI
Frontend
Backend
Database
AI
QA
Other
Information security (IS) audit
An independent version of the ISMS - verification of the effectiveness and compliance with the company's objectives, identification of data leakage risks and data protection issues
expert documentary verification of the state of information security and information systems (IS) based on the auditors' experience
analysis of unauthorized user access to the system
analysis of information system security using technical means to detect potential vulnerabilities in the hardware and software system
Basic information security audit services
formation of a list of data sources, a list of persons with access rights and indicating the access level
analysis of infrastructure security, system configuration, and use of security mechanisms
analysis of data exchange, storage and use methods
analysis of the infrastructure management scheme and ensuring its stable operation
analysis of the organization's security system
Evaluation of information processes
verification of the correctness of the company's personnel's work with data and knowledge of regulatory documents governing information security
checking the access rights distribution mechanism
effectiveness of malware protection
procedure for internal information security monitoring
Search for information leaks
Search for leaked passwords, tokens, and credentials in code
Additional services
Assessing the current state of security systems to identify vulnerabilities
and risks
and risks
FOR WHAT:
Preparing recommendations to improve data protection and compliance with legal requirements
Ensuring the practical implementation of security measures to minimize threats and improve the overall level of security of the organization
The result of the information security audit is a report on the results of the audit conducted
information on identified problems and deficiencies, recommended methods for their elimination
Tariffs
Basic information security audit
Basic Plus
audit services for ISMS
Tariff "Basic Information Security Audit" +
"Information Process Assessment" service
or
Tariff "Basic Information Security Audit" +
"Information Leak Detection" service
Extended
Тариф «Базовый аудит ИБ» +
услуга «Оценка информационных процессов»
услуга «Поиск утечек информации»
analysis of the performance of the data warehouse and data lake for productivity and correct operation
formation of a set of general recommendations for improving the operation of the entire system
identifying bottlenecks and problem areas in the operation of the data warehouse and data lake
formulation of proposals for optimization and improvement of the operation of the data storage system and data lake
Corporate Data Warehouse (CDW) Audit
Recommendations for improving data warehouse performance
Initial audit
development of a new IT system, integration with the current IT landscape
a radical change in the approach to data storage
implementation of new technologies
migration of IT solutions
Regular audit
support for working with large data warehouses
architectural oversight of the correct operation of IT solutions, data warehouses, and data lakes
preventive detection of problems with the data storage system and data lake
The result of the KHD audit is a report with recommendations
to improve the efficiency of the data storage system
to troubleshoot errors that affect the operation of the data warehouse during data extraction and ETL processes
increasing the observability and manageability of ETL processes and data workload code
to improve data access security
to identify and eliminate the causes of errors in the data storage system
to optimize the time spent on accessing data warehouse elements
Tariffs for the audit of the data warehouse
Base
Basic Plus
Study of the initial design and operational documentation, analysis of the architecture of the data warehouse model
The list of works provided in the "Basic" proposal
Audit of data extraction processes from sources
Audit of ETL processes and data consolidation to a unified model
Extended
Checking the compliance of the hardware used with the class of the approved data storage architecture (for hardware storage)
System Fault Tolerance Analysis
Determining the rate of data growth and data compression methods
Analysis of the distribution of data warehouse elements by segments, identification of data imbalances (for distributed DBMS)
The list of works provided in the Basic Plus proposal
Monitoring the operation of the data warehouse, analyzing peak loads and the number of users
Audit of the role-based model of user access to storage objects
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