DataOps
DataOps,
Done Right. Everytime!
Make sense of your data maze with Anblicks DataOps.
Data chaos slowing you down? With Anblicks DataOps, we take the hassle out of managing your data. Think automated workflows, reliable pipelines, and spot-on data quality—so you can focus on what really matters. Say goodbye to data headaches and hello to smarter, faster decisions
Quicker time to market
Improved Data Accessibility
Decrease in Data Incidents
Data Uptime
Reduction in incident occurrence in year 1
Problems Solved
Data Governance
Data Governance
Establish a robust data governance framework, ensuring data security, privacy, and compliance with regulations.
Time-to-Insight
Time-to-Insight
Streamline data processes, reducing the time it takes to derive insights from data.
Data Silos
Data Silos
Break down data silos by centralizing data and creating a unified data platform, improving data accessibility and collaboration.
Why Anblicks DataOps?
Improved Data Security
Anblicks enables you to secure and govern your big data and analytics platforms.
Streamlined Data Integration
Accelerate Your Data Integration. Optimize your data workflows.
Automated Data Operations
Scale infrastructure in an agile manner and simplify complex data processing.
AI-powered Data Intelligence
Build capabilities for Adaptive Decision Making, Self-Service Analytics, while optimizing Analytics Cycle Time.
Offering Outcomes
Upto 4 Weeks
Assess
Data Ops Operating Model, Transition & Playbook
- Analyze current Data Estate.
- Define and Assess current state DataOps Op Model .
- Identify Stakeholder(s).
- Identify Roles & Responsibilities.
- Identify Corporate Data Domain(s).
- Identify & Prioritize Critical Data Elements (CDE) under each Domain.
- Document & Prioritize current Data Trust, Data Quality & Data Reliability challenges.
- Document Data Asset Service Level Agreements (SLA’s).
- Document Run-Books.
- Document L1.5, L2 and L3 Incident Management, Problem Management and SLA’s.
- Document Communication & Escalation model.
- Document prescriptive DataOps 24*7 coverage.
- Define Prescriptive Target State Operating Model Playbook.
Upto 5 Weeks
Adopt
Enterprise DataOps using “EDGE” platform
- Implement and configure “EDGE” platform .
- Define and configure Data Domains (e.g. Sales, Finance etc.).
- Define and configure Sub-Domain (e.g. Order, Invoice etc.) for each data domain.
- Define and configure Critical Data Elements/Assets under Sub-Domain.
- Configure and Perform automated metadata extraction from the identified data source .
- Configure end to end “Data Lineage” for explainability and impact analysis .
Upto 6 Weeks
Accelerate
Minimize Data Downtime
- Steady State DataOps.
- Monitor KPIs and SLAs.
- Configure Weekly Status Reporting.
- Run Book Automation.
- Configuring “Incident Manager Workflow” in EDGE platform to flag Data Assets as being in an unhealthy state.
- Configure “Data Observability” in EDGE platform with assertions to minimize “Data Downtime” and maximize “Data Quality”.
- Data Freshness assertions.
- Data Volume assertions.
- Custom SQL assertion.
- Column assertion.
Upto 12 Weeks
Amplify
Enterprise Data Governance using “EDGE” platform
- Define Data Semantics & Glossary terms for the Critical Data Elements/Assets.
- Configure Data Catalog and Search feature for findability.
- Co-create and assist “Data Custodians” to define technical metadata to Critical Data Elements/Assets.
- Co-create and assist “Data Stewards” to define business glossary & data dictionary to critical data elements/assets.
- Co-create and assist “Privacy Stewards” to define PII tags and access policies.
- Configure “Data Profiler” feature and functionality to determine Data Quality issues .
- Implement FinOps.
Capabilities
Orchestration and Observability
- Unified data pipeline management
- Real-time monitoring and alerting
- End-to-end data lineage
Environment Management
- Automated provisioning and configuration
- Version control and deployment
- Infrastructure as Code
Automation
- Automated data ingestion
- Automated data validation
- Automated testing and deployment
Partnerships
Database Migration Delivery
Infrastructure Azure
Data & AI Azure
Digital & App Innovation Azure
Success Stories
Anblicks DataOps has been instrumental in streamlining our ecom data operations. Their expertise and hands-on approach made a huge difference in how we trust our data and manage real-time hyper-personalization. It’s rare to find a partner who delivers this level of impact.
Director, DataOps
Fashion Retailer
Our data workflows were riddled with bottlenecks that slowed down the progress and critical reporting. After taking Anblicks DataOps services it didn’t just streamline the process, it brought our teams together. Automation took care of repetitive tasks, and now we can focus on improving patient outcomes. It’s been a transformative experience for everyone involved.
Chief Data Officer
Major Healthcare Provider
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