Data Warehouse Solution

From Data Complexity
to Insight

Our team brings together a diverse group of experts, each playing a crucial role in the successful implementation of Data Warehouse solutions. At the core of our team are business domain subject matter experts, who possess deep knowledge of industry-specific processes and challenges.

They collaborate closely with our Data Warehouse (DWH) model experts, who design and architect efficient and scalable data models tailored to meet our clients' needs.

Supporting this process, our skilled data engineers ensure seamless data integration, transformation, and loading, enabling us to deliver robust and reliable Data Warehouse solutions. This multidisciplinary approach allows us to address complex business problems with precision and expertise

From Data Complexity to InsightOur team brings together a diverse group of experts, each playing a crucial role in the successful implementation of Data Warehouse solutions. At the core of our team are business domain subject matter experts, who possess deep knowledge of industry-specific processes and challenges.They collaborate closely with our Data Warehouse (DWH) model experts, who design and architect efficient and scalable data models tailored to meet our clients' needs.Supporting this process, our skilled data engineers ensure seamless data integration, transformation, and loading, enabling us to deliver robust and reliable Data Warehouse solutions. This multidisciplinary approach allows us to address complex business problems with precision and expertise

 

Our DWH Implementation
Methodology

Strategy Development

  1. Clarifying Stakeholders' Vision and Goals
  2. Reviewing Resources and Environmental Systems
  3. Assessing Current Capabilities, Technology, and Scalability
  4. Establishing a Risk Management Framework

Discovery
Phase

  • Customer Business Requirements Identification
  • Analysis of Existing Reports and ML Models
  • Review and Documentation of Existing Data Sources and Connections
  • Budget and Team Composition Estimate for the Project
  • Data Quality Analysis
  • Detailed Analysis of Metrics
  • Conceptual Design
  • Logical Design of ETL Architecture
  • Proposal of Various Solutions with Different Technology Stacks Prototyping

Implementation

  • Physical design of databases and schemas
  • Integration of data sources
  • Development of ETL flows
  • Data profiling
  • Loading historical data into the data warehouse
  • Implementation of data quality controls
  • Data automation configuration & scheduling
  • Ensuring data warehouse stability & monitoring

Ongoing
support

  • Resolving Issues Within SLAs
  • Reducing Storage and Processing Costs
  • Implementing Minor Enhancements
  • System Supervision
  • Continuous Cost Optimization
  • Product Support and Issue Resolution

Continous
Reengineering

  • Resolving Issues Within SLAs
  • Reducing Storage and Processing Costs
  • Implementing Minor Enhancements
  • System Supervision
  • Continuous Cost Optimization
  • Product Support and Issue Resolution

Our Consulting Assets

Data Model

Reports Dashboards and KPIs

Governance Assets

Operating Model Assets

Data Model

Reports Dashboards and KPIs

Governance Assets

Operating Model Assets