DataOps as a service

Stop wasting time on broken pipelines and messy reports. We automate, standardize, and monitor your data flows so insights land faster, cleaner, and ready to act on. With our DataOps services, your business runs on data you can trust — fueling quicker decisions, lower risks, and smarter growth.

20+

DataOps projects

100+

DataOps engineers

90%

senior & mid-level specialists

Stop wasting time on broken pipelines and messy reports. We automate, standardize, and monitor your data flows so insights land faster, cleaner, and ready to act on. With our DataOps services, your business runs on data you can trust — fueling quicker decisions, lower risks, and smarter growth.

20+

DataOps projects

100+

DataOps engineers

90%

senior & mid-level specialists

Challenges solved by DataOps as a Service

  • Slow analytics cycles
  • Low trust in data
  • Pipeline failures
  • Staging vs. prod issues
  • No visibility or lineage
  • Hard to scale pipelines

Slow analytics cycles

Manual handoffs between data engineers, analysts, and devs delay insights. DataOps automates workflows to cut delivery time from weeks to days.

Business consultants review real-time analytics dashboards on tablets, surrounded by digital charts in a modern office

Low trust in data

Nothing derails strategy faster than bad numbers. We put guardrails in place — validation, monitoring, governance — so you can finally trust every report.

Managing tasks and visualizing completion rates for ongoing business operations

Pipeline failures

Disconnected ETL/ELT jobs fail silently or break downstream logic. With real-time monitoring and alerts, we catch issues before they spread and keep data flowing smoothly.

Automated workflow connects users to documents and analytics, speeding up approval and reporting

Staging vs. prod issues

Pipelines that work in dev but crash in production? We apply CI/CD best practices so that what works in testing works reliably in the real world.

IT specialist configuring network settings on a laptop during server maintenance

No visibility or lineage

Not knowing where data comes from breeds risk. We give you full lineage and traceability so every stakeholder sees the story behind the numbers.

Focused review of marketing campaign metrics on a desktop to shape next steps

Hard to scale pipelines

Growing data volumes or sources overwhelm static workflows. DataOps brings automation, modularity, and scalability through orchestration.

Network of virtual workstations allows teams to connect, communicate, and share data instantly
Slow analytics cycles

Manual handoffs between data engineers, analysts, and devs delay insights. DataOps automates workflows to cut delivery time from weeks to days.

Business consultants review real-time analytics dashboards on tablets, surrounded by digital charts in a modern office
Low trust in data

Nothing derails strategy faster than bad numbers. We put guardrails in place — validation, monitoring, governance — so you can finally trust every report.

Managing tasks and visualizing completion rates for ongoing business operations
Pipeline failures

Disconnected ETL/ELT jobs fail silently or break downstream logic. With real-time monitoring and alerts, we catch issues before they spread and keep data flowing smoothly.

Automated workflow connects users to documents and analytics, speeding up approval and reporting
Staging vs. prod issues

Pipelines that work in dev but crash in production? We apply CI/CD best practices so that what works in testing works reliably in the real world.

IT specialist configuring network settings on a laptop during server maintenance
No visibility or lineage

Not knowing where data comes from breeds risk. We give you full lineage and traceability so every stakeholder sees the story behind the numbers.

Focused review of marketing campaign metrics on a desktop to shape next steps
Hard to scale pipelines

Growing data volumes or sources overwhelm static workflows. DataOps brings automation, modularity, and scalability through orchestration.

Network of virtual workstations allows teams to connect, communicate, and share data instantly

Maximize data efficiency with our DataOps services

Philip Tikhanovich
Philip Tikhanovich
Head of Big Data and AI

When data breaks, the business pays — through bad decisions, delays, and lost trust. DataOps eliminates that chaos. It gives you reliable, scalable pipelines so every datapoint dashboard is trusted, every insight is accurate, and every decision is backed by truth.

Head of Big Data and AI

Why businesses trust Innowise for DataOps services

Innowise brings 18+ years of data engineering expertise and has delivered 60+ successful DataOps projects across various industries. Our DataOps solutions help enterprises cut data processing time by up to 40% and reduce cloud costs by as much as 30%.

Our 360° approach to DataOps as a service

  • Built for your business

We design DataOps around your real workflows and goals. Every process serves your team, not the other way around.

  • No surprises, no fluff

We set realistic budgets, timelines, and scope. No inflated promises, no hidden costs. Just accountable delivery that protects your investment.

  • Transparent from day one

From the very start, you’ll have full visibility into how your pipelines work. Every step is explained, every process is traceable, so you always know what’s happening and why.

  • Success you can measure

Success is defined upfront with clear KPIs for data quality, delivery speed, and ROI. You’ll see verifiable results tied to business goals.

  • Flexibility baked in

Data needs shift, tools evolve. Our approach makes it easy to adapt, scale, and experiment without breaking your daily workflows.

Your project at your pace

Data ingestion

Your data is scattered everywhere, we pull it all together into one clean stream so nothing important gets lost.

Data processing

Raw data is like raw ingredients. We wash, chop, and prep it so it’s ready to cook up real business value.

Pipeline orchestration

We schedule, automate, and coordinate workflows so data moves seamlessly across systems without delays or bottlenecks.

Data governance & security

As data flows, we secure it with rules, permissions, and encryption to ensure it remains safe and compliant with industry standards.

Analytics & insights

With clean, secure data in place, we feed it into models to unlock insights you can act on.

Monitoring & feedback

And because data never sleeps, we keep watch, spotting issues early and fine-tuning pipelines so they run better every day.

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Struggling with disconnected data?

Unify your systems with pipelines that actually flow.

Industries we serve

  • Finance & banking
  • Healthcare
  • Retail & eCommerce
  • Telecommunications
  • Manufacturing
  • Energy & utilities
  • Logistics

DataOps connects and automates data flows between transaction systems, customer profiles, risk models, and compliance platforms. Instead of waiting days for clean reports, your teams get accurate, real-time insights on fraud, credit, and regulatory exposure.

  • Faster fraud detection
  • Stronger compliance reporting
  • Smarter lending decisions
AI-driven finance dashboard overlays urban skyline, highlighting real-time analytics for smarter investments

Hospitals deal with siloed data — EHRs, imaging, labs, devices. DataOps unifies and validates every data pipeline, ensuring that clinicians and ops teams work from a shared, trusted source.

  • Streamlined clinical workflows
  • Shorter diagnosis-to-treatment cycles
  • Lower patient no-show rates
Healthcare provider uses mobile device for telemedicine and real-time patient data access

DataOps plays a key role in automating data integration across multiple channels, including online stores, POS systems, and customer touchpoints.

  • Personalized customer engagement
  • More targeted marketing strategies
  • Optimized inventory forecasting
Consumer checks online deals on smartphone amid pink shopping bags and urban storefront backdrop

Telcos manage petabytes of high-velocity data from towers, customers, and billing platforms. DataOps ensures those streams are monitored, validated, and orchestrated.

  • Real-time monitoring & optimization of network performance
  • More tailored & responsive service offerings
  • Faster deployment of new services & network updates
Telecom tower with smart sensors powers next-gen connectivity, enabling 5G and IoT networks

By automating data workflows, well-crafted DataOps allows manufacturers and suppliers to analyze production and inventory data effectively.

  • Improved production schedules & minimized downtime
  • Higher supply chain visibility & responsiveness
  • Optimized distribution & reduced consumption waste
Automated assembly line uses AI-driven robotics for agile, data-powered production and quality control

From smart meters to grid telemetry and consumption data, energy systems need coordination. DataOps stitches these flows together so you can balance load, predict failures, and meet compliance automatically.

  • Improved resource allocation
  • Faster response to outages & maintenance needs
  • Accurate & timely compliance reporting
Smart energy grids and IoT-enabled wind turbines power data-driven, sustainable energy management

Fleets, routes, warehouses, customer portals — none of them talk to each other natively. DataOps orchestrates these data streams, ensuring live ETAs, optimized routes, and fast exception handling when disruptions occur.

  • Lower transportation & maintenance costs
  • Smarter planning from live insights
  • Improved route & network optimization
Digital logistics platforms connect smart trucks for predictive maintenance and streamlined supply chains

Our technology stack

Data pipeline automation

  • Apache Airflow
  • Luigi
  • Prefect
  • Kubeflow Pipelines
  • Dagster

Data integration

  • Apache Nifi
  • Talend
  • Fivetran
  • Stitch
  • Informatica PowerCenter
  • Apache Kafka

Data quality management

  • Great Expectations
  • Deequ
  • Talend Data Quality
  • Ataccama
  • Datafold

Data governance

  • Collibra
  • Alation
  • Informatica Axon
  • Apache Atlas
  • Microsoft Purview

Continuous data delivery

  • Apache Kafka
  • Debezium
  • Google Cloud Dataflow
  • Apache Flink
  • Confluent

Data security and compliance

  • AWS KMS
  • Apache Ranger
  • Azure Key Vault
  • GCP Cloud KMS
  • Snowflake Security Features
  • Databricks Data Governance
  • Okta
  • OneTrust
  • BigID
  • HashiCorp Vault

DataOps strategy and consulting

  • DataKitchen
  • Unravel
  • StreamSets
  • Cognizant
  • Wipro
  • Tata Consultancy Services (TCS)

What our customers think

Joanna Wolynska HR & Project Manager Netdevops Luxembourg S.a.r.l
Netdevops logo

“Innowise’s help allowed us to complete the project on time. Their flexible and adaptable approach resulted in a smooth partnership. Ultimately, they were communicative, responsive, and easy to work with, on top of being technically proficient.”

  • Industry IT services
  • Team size 1 specialist
  • Duration 6+ months
  • Services Custom software development
Johannes Schweifer CEO CoreLedger AG
CoreLedger AG logo

“Innowise has built an amazing application from scratch in an amazingly short time of just about 3 weeks. Their seniority and in-depth experience in this field make them valuable partners.”

  • Industry IT services
  • Team size 6 specialists
  • Duration 17+ months
  • Services Mobile app development
Tim Benedict CTO Vitreus
Vitreus logo

“Innowise has successfully delivered the client's MVP, marking the project's success. The team has offered excellent project management, as they're highly efficient and always deliver on time. Overall, their passion and depth of expertise are outstanding.”

  • Industry Business services
  • Team size 30 specialists
  • Duration 15 months
  • Services Architectural design, blockchain, custom development

FAQ

It’s a managed way to handle all your data pipelines. Instead of your team spending hours fixing and cleaning data, the service automates the process and keeps everything reliable and ready to use.

They differ in the areas they target: DataOps targets data processes, while DevOps targets software delivery. DataOps is all about automating data pipelines and continuous integration to increase efficiency and quality in data management and analytics. DevOps, on the other hand, amplifies the collaboration between software development and operations to deliver software reliably.

You cut infrastructure costs, speed up reporting cycles, and reduce costly data errors. It gives you the scalability to handle growth, the reliability to meet compliance needs, and the agility to launch products and make decisions faster.

Our DataOps solutions are built to complement what you already have, not replace it. We start with a careful assessment of your current data infrastructure, pipelines, and toolchain. From there, we design integration layers and workflows that connect seamlessly with your existing technologies — whether you’re using cloud platforms (AWS, Azure, GCP), on-prem systems, or a hybrid setup. The result: You get faster, more reliable data flows without a costly rip-and-replace of your infrastructure.

DataOps is valuable for organizations of all sizes, not just large enterprises. For small teams DataOps helps reduce manual effort, streamline reporting, and establish reliable data pipelines without requiring a large internal data engineering team. For bigger organizations with multiple data sources and teams, DataOps provides the structure to handle scale — governing data across departments, supporting compliance, and ensuring collaboration between business and technical stakeholders.

Feel free to book a call and get all the answers you need.

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