Legacy ETL to Modern Data Pipeline
Build a robust data warehouse, migrate it to the cloud, or build
a complex data solution with a reliable partner by your side.
Our data warehouse consulting services
Complere info system provides a full range of data warehousing services, including data warehouse research,
discovery, implementation, and support to help you get the maximum value from your data.
We have over 200 data experts onboard and over 30 data projects in our portfolio.
Data warehouse research and design
Our team will help you create an effective data warehouse strategy, choose the best data warehouse model, and build a prototype.
Data warehouse implementation
We offer an entire cycle of DWH development: from integration of data sources to full automation of data processes.
Data warehouse migration / optimization
Our experts will migrate your DWH to the cloud, scale it up, and help you optimize performance and costs.
Data warehouse support
We will implement small adjustments, make changes that are covered by SLA, and provide an overall support of your DWH.
How can you benefit from data warehouse consulting?
Our consultants will assist you in every step of your data transformation journey.
Consolidate Data Access
- A well-designed and integrated DWH ensures governed and secure access to data across your organization.
Reduce Human Involvement
- A carefully chosen DWH platform allows you to save up to 60% of efforts in deployment, administration, and support.
Optimize Costs
- Data warehouse consulting includes an ongoing optimization of your infrastructure and cloud spending.
Accelerate Roi
- Improve the overall visibility of the processes and take business decisions based on clean and accurate data.
How it Works
Complere info system offers 360 data warehouse consulting services. Typically, data warehouse consulting has four phases:
01. Strategy
During this phase we will explore an existing ecosystem including:
- Clarification of the stakeholders’ vision and objectives
- Reviewing the environment and existing systems
- Measuring current capability and scalability
- Creating a risk management framework.
03. Development
Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:
- Physical design of databases and schemas
- Integration of data sources
- Development of ETL routines
- Data profiling
- Loading historical data into data warehouse
- Implementing data quality checks
- Data automation tuning
- Achieving DWH stability.
02. Discovery phase
We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.
- Defining client’s business needs
- Analysis of existing reports and ML models
- Review and documentation of existing data sources, and existing data connectors
- Estimation of the budget for the project and team composition.
- Data quality analysis
- Detailed analysis of metrics
- Logical design of data warehouse
- Logical design of ETL architecture
- Proposing several solutions with different tech stacks
- Building a prototype.
04. Ongoing support
We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:
- Fixing issues within the SLA
- Lowering storage and processing costs
- Small enhancement
- Supervision of systems
- Ongoing cost optimization
- Product support and fault elimination.
01. Strategy
During this phase we will explore an existing ecosystem including:
- Clarification of the stakeholders’ vision and objectives
- Reviewing the environment and existing systems
- Measuring current capability and scalability
- Creating a risk management framework.
02. Discovery phase
We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.
- Defining client’s business needs
- Analysis of existing reports and ML models
- Review and documentation of existing data sources, and existing data connectors
- Estimation of the budget for the project and team composition.
- Data quality analysis
- Detailed analysis of metrics
- Logical design of data warehouse
- Logical design of ETL architecture
- Proposing several solutions with different tech stacks
- Building a prototype.
03. Development
Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:
- Physical design of databases and schemas
- Integration of data sources
- Development of ETL routines
- Data profiling
- Loading historical data into data warehouse
- Implementing data quality checks
- Data automation tuning
- Achieving DWH stability.
04. Ongoing support
We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:
- Fixing issues within the SLA
- Lowering storage and processing costs
- Small enhancement
- Supervision of systems
- Ongoing cost optimization
- Product support and fault elimination.
Case Study
Challenge
Are you ready to embark on a successful platform migration journey with Complere Infosystem? Contact us today to discuss your migration needs and let us help you make a seamless transition to a more efficient and productive platform. Your business’s growth and success are our top priorities.
Solution
Are you ready to embark on a successful platform migration journey with Complere Infosystem? Contact us today to discuss your migration needs and let us help you make a seamless transition to a more efficient and productive platform. Your business’s growth and success are our top priorities.
Get Started with Legacy ETL To Modern Data Pipeline
Ready to embark on a successful migration journey with Complere? Contact us today to discuss your specific migration needs. Let us tailor a migration strategy that suits your unique requirements, ensuring a seamless transition to a more efficient and productive environment. Your migration, our expertise.
