Reporting system design

iiii Tech will help you create an ideal data management system of various levels of complexity, based on Enterprise Data Warehouses of various levels of complexity

Centralize large volumes of information

Improve the quality of data for management decisions

Identify bottlenecks in business processes

What makes an enterprise data warehouse
Delivers processed data to any system on demand Delivers processed data to any system on demand

Delivers processed data to any system on demand

Establishes relationships and dependencies between data Establishes relationships and dependencies between data

Establishes relationships and dependencies between data

Brings all data down to a common denominator Brings all data down to a common denominator

Brings all data down to a common denominator

Normalizes data Normalizes data

Normalizes data

Retrieves and consolidates data from disparate business systems Retrieves and consolidates data from disparate business systems

Retrieves and consolidates data from disparate business systems

Why use enterprise data warehouse

  • Automate reporting from disparate systems and free staff from reporting routines

  • Reduce the amount of resources required to process data in disparate systems

  • Obtain data as close to real time as possible

  • Analyze large volumes of data

  • Track key metrics as efficiently as possible

  • Increase reporting reliability

Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Why use enterprise data warehouse Why use enterprise data warehouse
Composition of the service 

Process support

Implement data integration methodologies

Design and implementation of data extraction, transformation and loading processes (ETL and ELT processes)

Architecture Analysis

We help you determine which solution (data lake, data warehouse, etc.) is right for your business based on the tasks, data sources, and IT solutions used.


We analyze the architecture of the existing data storage solution and help refine it.

Data warehouse and data lake design

Creation of solutions to store and process the data volumes that cannot be handled by the company's own systems, and integration with the client's IT systems.

Audit and Strategy (Preliminary)


  • Audit current enterprise data stores and data sources

    • Define / gather system requirements in terms of reliability and workload
    • Terms of reference design
Project Timeline  
01

Audit of corporate data warehouse and data sources - from 4 weeks

02

Design - from 8 weeks

03

Documentation - from 2 weeks

Who needs the service

Global enterprises

Large Manufacturing

Telecommunications

Fintech

Distributed enterprises with multiple lines of business and many business systems

Who needs the service Who needs the service
Who needs the service Who needs the service
Who needs the service Who needs the service
Who needs the service Who needs the service
Who needs the service Who needs the service
Who needs the service Who needs the service
Who needs the service Who needs the service

Why is iiii Tech the right choice for you  

Building enterprise data warehouses since 2014

Only senior consultants on the team

We master all major design methodologies (Kimball, Inmon, Data Vault)

Enterprise data warehouses designed by us have been implemented and are working in 

Russian and international companies

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