Data Integration Consulting That Starts with the Questions
Integration projects grow out of control when every system is connected to every other. Our data integration consulting starts with the business view you need, such as one view of the customer, the order, or the claim, and integrates only what serves it.
Source systems
CRM, ERP, finance, operations, and the data each one owns.
Business view
The customer, order, or product view the business needs.
Data quality
Duplicates, gaps, and conflicts to resolve on the way.
One trusted view the business can use
The Right Integration Pattern for Each Flow
Not all data needs to move the same way. Each flow gets the simplest pattern that meets its timing and volume.
Request a free data integration consultation
ETL and Data Pipeline Planning You Can Operate
The design ends with pipelines your team can run: monitored, documented, and owned. For a health insurer, Cognativ integrated claims, enrollment, care, and finance data and cut manual reconciliation by 70%.
Ingest
Connectors that load each source on schedule, with checks for late or missing data.
Transform
Rules that clean, match, and model the data in one place.
Govern
Ownership, lineage, and alerts so issues are fixed at the source.
Explore data warehouse consulting
When Data Integration Becomes Urgent
The usual triggers are reports built by copying spreadsheets, customers or orders that look different in every system, a new platform that must connect to the old ones, or an AI or analytics project waiting for clean data.
Each of these has a cost in hours and errors that the integration plan is built to remove.
Data Integration Consulting Questions
What to expect before you start.
What is data integration consulting?
Data integration consulting designs how data moves between a company's systems: which flows are needed, which patterns and tools to use, and how pipelines are built and run.
What is the difference between ETL and ELT?
ETL transforms data before loading it into the target; ELT loads raw data first and transforms it inside the warehouse. Modern cloud warehouses usually favor ELT.
Which integration tools do you work with?
The approach is tool-neutral: it covers platforms such as Fivetran, Azure Data Factory, AWS Glue, dbt, and iPaaS tools, starting with what you already use.
Can you integrate legacy systems?
Yes. Older systems are integrated through database extracts, files, or APIs added around them, without replacing the system first.
Do you build the pipelines too?
Yes. After the design, Cognativ can build and run the pipelines or support your team while it does.
How does an engagement start?
With a free first consultation about the systems you need to connect, then a short assessment with a fixed scope and fee agreed before work begins.
Data Integration Case Studies
Engagements where connecting systems and data removed manual work and errors.
Health Insurance Reconciliation Drops 70%
Data Integration
Claims Analytics
Business Reporting
Data Aggregation
Health Insurance Reconciliation Drops 70%
Cognativ integrated fragmented claims, enrollment, care management, finance, and reporting data into a unified insight engine for a health insurance organization.
The work reduced manual reconciliation by 70%, improved audit readiness, and gave leadership real-time visibility.
Review the Data Unification
Ecommerce Order Cancellations Fall 22%
Systems Integration
Workflow Automation
Order Management
Observability
Ecommerce Order Cancellations Fall 22%
Cognativ implemented integration automation and real-time observability to reduce failed orders, improve customer communication, and stabilize fulfillment operations.
The work reduced order cancellations by 22% and manual order triage by 40%; more proactive support contributed to an 18-point rise in Net Promoter Score.
See the Order Recovery
Healthcare Data: 20x Exit Valuation
Data Platforms
API Development
Data Integration
Data Marts
Healthcare Data: 20x Exit Valuation
Cognativ helped a traditional third-party payer reposition from a claims-processing service provider into a strategic healthcare data broker.
The transformation reshaped the company’s go-to-market model and increased exit valuation by 20x.
See the 20x Exit Story
Logistics Platform Reduces Customer Churn by 35%
Logistics Software
Customer Portals
Workflow Automation
Systems Integration
Logistics Platform Reduces Customer Churn by 35%
Cognativ helped a logistics firm recover from a failed digital transformation by delivering a unified logistics platform through RAPID.
The work reduced customer churn by 35%, increased portal engagement 5x, lifted existing-client revenue by 22%, and cut compliance workflow time by 40%.
See the Logistics ResetRelated AI Insights
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