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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

    71%
    Quicker time to market
    37%
    Improved Data Accessibility
    32%
    Decrease in Data Incidents
    99.997
    Data Uptime
    38%
    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

    Trusted by​

    Avalon a client of Anblicks
    CBRE - A proud client of Anblicks
    Citi Bank a customer of Anblicks
    Employer Direct Healthcare - logo
    general financial logo
    Hilltop Holdings - a client of Anblicks
    Trintech logo - Trusted by Global Brands
    Anblicks Services Trusted By Warner Bros. Discovery

    Book a no-commitment 30-minute discussion with a DataOps Expert.  

    Discover how DataOps can transform your business.

    Have a question?

    DataOps is like giving your data team superpowers—it focuses on making data processes smoother, faster, and more reliable, so you can get the information you need when you need it.
    With DataOps, your data flows seamlessly, your teams work better together, and you save time and money. It’s all about delivering the right data to the right people at the right time.
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