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.
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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 with Data Engineering.
Our Offering
Modern Data Fabric
Overcome scalability, security, and speed barriers to generating reliable and repeatable insights from quality data
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Cloud Data Platform Engineering
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Data as a Service
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Lean Data Governance
Insights Foundry
Combine design, processes, and technology services to strengthen analytics and data engineering in the development lifecycle
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Modern BI & Data Warehousing
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XOps – AI, ML & DL Operations
Actionable Insights
Trigger the last-mile process to embed business intelligence and automation into customer interactions and operational processes
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Digital and Process Intelligence
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Business Insights
Why Prophecy Analytics?
Most data science problems can be divided into three sequential phases – problem definition & data discovery, model estimation & validation, insights & business application. We have broad frameworks to systematically approach a wide variety of data science problems to ensure business value.
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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
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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
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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
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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
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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
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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
What Our Clients Say About Our Blockchain Solutions
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John S