Data Integration Services & Data Pipelines

Data Integration Services for US Businesses

Get your data from every system into one place, accurately and on time. Cognativ builds and runs the pipelines that connect your applications, databases, and files to your warehouse and reports.

Pipelines built, monitored, and maintained

Validation at every step so numbers can be trusted

The first consultation is free

Data Integration Services from Source to Report

Our data integration services take data from where it is created to where it is used, with checks at every step so the numbers can be trusted.

From scattered sources to trusted data

Connect the sources
Connect the sources
Applications, databases, files, and SaaS tools connected and loaded on schedule.
Transform and match
Transform and match
Data cleaned, deduplicated, and matched into common definitions.
Deliver to users
Deliver to users
A warehouse, reports, and applications fed with the same numbers.

One trusted source for reports and AI

Data Pipeline Development for Every Kind of Source

Each source needs its own connection pattern. We build and test the pipeline for each one, from modern SaaS tools to legacy databases.

Four kinds of sources we integrate

SaaS applications

CRM, ERP, finance, and marketing tools connected through their APIs.

Databases

Operational databases replicated without slowing the systems that use them.

Files and spreadsheets

Recurring files loaded, validated, and stored with history.

Events and streams

Real-time events for the flows where minutes matter.

Request a free data integration consultation

Pipelines Built, Monitored, and Maintained

A pipeline is a product that needs care: vendors change their APIs, volumes grow, and a silent failure can put a wrong number in front of the board. Cognativ delivered this work for a health insurer whose manual reconciliation fell 70% once claims, enrollment, and finance data flowed into one place.

From build to reliable operation

Build

Connect and Test

Pipelines built, tested against source data, and documented.

Run

Monitor and Maintain

Alerts for late or failed loads, fixes, and changes as sources evolve.

Explore data integration consulting

Managed Data Pipelines With Clear Service Levels

After launch, we can run the pipelines for you with agreed service levels: how fresh the data must be, how fast failures are fixed, and how changes are requested. Your team sees every load in one dashboard.

If you prefer to run them in-house, we hand over code, documentation, and runbooks, and train the people who will own them.

Data Integration Services Questions

What to expect before you start.

What are data integration services?

Data integration services connect a company's systems so their data is combined, cleaned, and delivered to a warehouse, reports, or applications, and keep those connections running.

Do you use managed connectors or custom code?

Both. Managed connectors are faster and cheaper to run for common SaaS tools; custom code is used where a source has no reliable connector or needs special handling.

How quickly can the first pipeline be live?

Usually within the first weeks of the project for a standard source, with more complex or legacy sources following in planned releases.

Do you maintain the pipelines after launch?

Yes. We can monitor and maintain pipelines on an ongoing basis, or hand them over to your team with documentation.

How do you make sure the data is accurate?

With validation checks at each step, reconciliation against source totals, and alerts when data is late, missing, or out of range.

How does a project start?

With a free first consultation about the systems and data you need to connect, then a short discovery that sets scope, team, and price before work begins.

Data Integration Case Studies

Pipelines and platforms that brought scattered data into one trusted place.

View all case studies

Cognativ health insurance case study cover for turning spreadsheet chaos into insight

Health Insurance Reconciliation Drops 70%

Data Integration Claims Analytics Business Reporting Data Aggregation

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

Cognativ healthcare data services case study cover for building data broker value

Healthcare Data: 20x Exit Valuation

Data Platforms API Development Data Integration Data Marts

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

Cognativ data analytics case study cover for 75 percent market share

Data Platform Reaches 75% Category Market Share

Data Platforms Data Aggregation Data Management Technology Strategy

Cognativ helped reposition a data management offering around a clearer market category, stronger operational narrative, and more defensible growth strategy.

The repositioning helped the business establish 75% market share in an emerging category while clarifying its value for enterprise buyers.

Explore the Data Category Win

Cognativ ecommerce case study cover for cutting order failures

Ecommerce Order Cancellations Fall 22%

Systems Integration Workflow Automation Order Management Observability

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