Data Engineering

Data Engineering

Every modern enterprise lives and breathes data on a daily basis. Unless you have access to the right data at the right time, it can affect your decision-making capabilities across the business value chain. But getting your hands on data is merely half the job done. Extracting insights can be challenging too – given that it is entirely dependent on the quality and reliability of your data assets

Tiger Analytics gives you the technology prowess to organize and clean your data while making it accessible – as and when you need it. We can help you harness the power of granular data-rich insights to capitalize on opportunities, mitigate business risks, and amplify customer engagement

Our Offering

Modern Data Fabric

Overcome scalability, security, and speed barriers to generating reliable and repeatable insights from quality data

Insights Foundry

Combine design, processes, and technology services to strengthen analytics and data engineering in the development lifecycle

Actionable Insights

Trigger the last-mile process to embed business intelligence and automation into customer interactions and operational processes

Why Tiger Analytics ?

  • Improved time-to
    insights

    Our deep automation expertise and agile best practices can easily collect, clean, transform, and manage the data. We free up your time and efforts to focus on extracting the most value out of your data

  • Increased scalability of
    analytical solutions

    Our thorough understanding of the MLOps life cycle ensures effective collaboration with data scientists, business analysts, and data SMEs. We help optimally provision and integrate infrastructure, services, and data pipelines

  • More actionability of
    insights

    Our application engineering teams can handhold you to operationalize data-driven models as decision services. We also integrate decision services into digital engagement applications and processes

  • Powerful DataOps and
    DevOps practices

    Our industry-agnostic experience involves years of leveraging DataOps and DevOps practices with a strong foundation in automation. We also help you fully optimize your data supply chains

  • Reliable ML-led
    operations

    Our capabilities in applying deep knowledge of ML libraries, cloud ML platforms and DevOps are on par with global standards. We can assist you in building reliable and optimized ML-led operations

  • Data-driven digital
    experiences

    Our data engineering expertise makes it easy to develop new digital applications and reimagine data-driven digital experiences. We take you closer to your customers to meaningfully
    engage them

Success Stories

How client benefited from Tiger Analytics Data
Engineering Solution
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