Enterprise dataOps services built
for always-on analytics
DataOps is a foundational engineering discipline that ensures data platforms operate with reliability, scalability, and predictable performance. TO THE NEW delivers enterprise-grade DataOps services designed to operationalize modern data ecosystems through automation, observability, and governance-led controls across distributed data pipelines.
We help organizations design, deploy, and continuously optimize DataOps frameworks that support high-volume data ingestion, transformation, orchestration, and analytics workloads ensuring data pipelines remain resilient, performant, and analytics-ready at all times.
Whether managing modern lakehouse architectures, operating complex multi-cloud data estates, or stabilizing mission-critical analytics pipelines, our DataOps services ensure uninterrupted operations without compromising scalability, compliance, or governance.
By embedding engineering best practices across data observability, pipeline orchestration, incident management, and continuous optimization, TO THE NEW delivers DataOps automation that reduces manual intervention, improves operational visibility, and accelerates time-to-insight.
- 30+enterprise data lake implementations across AWS, Azure, and GCP
- 100+ data experts delivering global solutions across industries
- Zero Downtime for petabyte-scale migrations to cloud
- 99.9%+ data pipeline reliability
Our DataOps automation services embed generative artificial intelligence across the operational lifecycle monitoring, detection, resolution, and optimization allowing teams to shift from reactive firefighting to predictive and preventive operations.
Continuous, 24×7 monitoring of data pipelines, orchestration layers, and compute workloads
Automated detection of pipeline failures, missing or delayed data, and data quality anomalies
SOP-driven automated reruns, recovery workflows, and escalation handling
Performance optimization and cost-aware pipeline tuning across cloud data platforms
On-demand access to experienced data engineers for pipeline remediation, schema evolution, and database-level changes
Companies that trust us
Our dataOps services
Our comprehensive suite of dataOps services identify, isolate, and resolve pipeline failures in real time minimizing business disruption and restoring data reliability at scale
Ensure uninterrupted data availability through proactive pipeline incident management. We detect, diagnose, and resolve data failures across ingestion, transformation, and orchestration layers, minimizing downtime and maintaining reliable data delivery for business-critical analytics.
Accelerate data operations through intelligent automation. We automate pipeline deployments, testing, recovery, and scheduling across cloud data platforms to reduce manual effort, eliminate human error, and support faster, more predictable data releases.
Maintain complete visibility into data platform health and performance. We monitor pipelines, data freshness, lineage, quality, and cost metrics to proactively identify issues, optimize workloads, and ensure trusted data availability at scale.
Strengthen operational governance through ITSM-aligned DataOps workflows. We integrate data operations with enterprise ITSM tools to manage incidents, changes, and releases with full traceability reducing operational risk and improving service reliability.
Ensure reliable and scalable data ingestion across enterprise systems. We manage data sources, APIs, streaming pipelines, and schema changes to maintain integration stability, improve data accuracy, and support continuous platform evolution.
Enable consistent and predictable DataOps delivery. We define operating models, SLAs, KPIs, and governance frameworks to improve accountability, standardize execution, and drive continuous optimization across data teams and platforms.
Protect enterprise data through built-in security and compliance controls. We implement access management, data protection, audit logging, and regulatory governance to reduce exposure risk and ensure compliant, enterprise-grade data operations.
Our Data Capabilities
Enterprise data platforms we work with to deliver scalable, secure, and future-ready data solutions.
Modern, secure, and cost-efficient cloud data platform for analytics at scale
Unified platform for AI, data science, and advanced analytics
Our expertise
End-to-End DataOps Framework & Program Design
We design and operate enterprise-grade DataOps frameworks covering people, processes, platforms, and governance, ensuring scalable, repeatable, and resilient data operations
AI-Ready Data Operations
We design data operations optimized for AI and advanced analytics by enabling high-quality, governed, and scalable data pipelines that support machine learning and intelligent workloads
Agile & DevOps Integrated
We embed Agile and DevOps practices into DataOps workflows, enabling CI/CD-driven deployments, automated testing, and faster, more predictable data releases
Data Governance, Security, & Compliance
We implement access controls, lineage, audit logging, and policy enforcement to deliver secure DataOps solutions aligned with enterprise data security and compliance requirements
Data Observability & Reliability Engineering
We design resilient DataOps environments with end-to-end observability, automated data quality validation, anomaly detection, and SLA-driven monitoring to ensure reliable, trusted, and production-grade data pipelines
Continuous Optimization
We continuously monitor performance, cost, reliability, and data quality to optimize pipelines, improve platform efficiency, and reduce operational overhead over time
What you achieve with our dataOps services
By embedding automation and governance into everyday data operations, our DataOps services enable faster releases, fewer failures, and predictable performance.
−
Enterprise-wide data consistency
Standardized data structures across sources eliminate fragmentation, reduce integration risk, and ensure analytics and AI teams operate on consistent, enterprise-ready datasets across data lakes and data warehouses
+
Trusted data for business-critical decisions
Automated validation of schema compliance, completeness, freshness, and integrity prevents data quality issues from reaching dashboards and reports, protecting decision-making and business confidence
+
Faster root-cause analysis & audit readiness
We analyze data distributions, patterns, volumes, and anomalies to assess data readiness, identify quality gaps, and support informed transformation and governance decisions
+
Analytics and AI-ready data at scale
Structured transformations apply business logic, normalization, and aggregation to deliver high-performance datasets optimized for analytics, reporting, and AI workloads, without operational complexity
+
High Data Availability
Continuous monitoring, automated failover, and resilient pipeline design ensure critical data is always accessible for analytics, AI, and business operations, minimizing downtime and operational disruption
Prepare your data operations to reliably support analytics, automation, and AI initiatives
DataOps services across industries
Our dataOps services are tailored to industry-specific data ecosystems, regulatory frameworks, and business intelligence objectives.
Run your data operations with the reliability, governance,
and scale your business expects.
Our insights
Stay ahead with the latest industry trends, our thought leadership and perspective.Latest from our blog
Fresh perspectives, straight from our experts. Stay updated with the latest industry trends.
View our blogSubscribe to our insights
Be the first to know - subscribe to actionable insights that matter.
Subscribe nowWhy Choose us for our dataOps services?
Because we operationalize data at scale driving reliability, speed, and intelligence across your entire analytics ecosystem
- High-quality, governed, and production-ready data across analytics, AI/ML, and BI platforms through automated orchestration, continuous validation, and real-time pipeline monitoring
- Automated quality checks, lineage tracking, performance benchmarking, audit logging, and security enforcement to reduce operational risk and ensure regulatory compliance
- Certified DataOps professionals applying industry best practices in automation, observability, and pipeline governance to build scalable, resilient, and secure data operations
- Specialized data engineering squads designing context-driven solutions that optimize pipelines, reduce operational friction, and align execution with business priorities
- Standardized processes, workflows, and governed access empowering business users with trusted, decision-ready data, fostering analytics agility and cross-functional collaboration
FAQs
What are data operations (DataOps) services, and why are they critical for modern enterprises?
Data Operations (DataOps) Services encompass the design, automation, management, and optimization of end-to-end data pipelines across data lakes, data warehouses, and analytics platforms. They are critical for ensuring reliable, high-quality, and timely data delivery enabling enterprises to support real-time analytics, AI initiatives, and business decision-making at scale.
How does a dataOps service provider add value to enterprise data transformation initiatives?
A specialized DataOps service provider brings structured frameworks, automation expertise, and proven DataOps best practices to reduce pipeline failures, improve data quality, and accelerate time-to-insight. By aligning data operations with business objectives, organizations achieve faster deployments, improved platform stability, lower operational overhead, and predictable analytics performance.
What dataOps solutions and capabilities do you offer?
End-to-end DataOps solutions including automated pipelines, cloud data orchestration, data quality validation, monitoring and observability, metadata and lineage management, and governance. Supports data lakes, warehouses, and cloud-native platforms across AWS, Azure, and GCP for scalable, reliable, and AI-ready data operations.
How does dataOps enable AI-ready data operations and advanced analytics?
AI-ready data operations require consistent, trusted, and continuously available data. Our DataOps framework integrates automation, validation, and observability to ensure clean, well-governed datasets. This enables reliable machine learning pipelines, faster model training, and scalable AI deployment across enterprise environments.
Do you provide dataOps consulting, framework design, and implementation planning?
Yes. Our DataOps consultants provide end-to-end dataops consulting services including platform assessment, operating model design, DataOps implementation, roadmap creation, and framework development. This ensures your DataOps program is scalable, secure, and aligned with long-term analytics, AI, and business transformation goals.
Do you offer dataOps managed services or DataOps as a Service?
Yes. We offer DataOps managed services and DataOps as a service models to support ongoing data operation management. This includes 24×7 pipeline monitoring, incident management, optimization, governance enforcement, and continuous improvement allowing enterprises to focus on insights while we manage operational complexity.
How do you ensure data security, compliance, and governance within dataOps platforms?
Our secure DataOps solutions embed data security, access controls, encryption, lineage, audit logging, and compliance policies directly into data pipelines. By integrating governance across the DataOps platform, we help organizations meet regulatory requirements while maintaining agility across cloud and hybrid environments.
Let’s Connect
Want to know more about us and our services? Please fill the form below:
