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Predictable data delivery at the right cost and quality

See how efficient Data Operations can enhance business efficiency

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Enhance data management with modern DataOps practices

With an increasing appetite for analytics-driven decision-making, organizations need to acquire internal and external data, manage, and deliver data in an agile, reliable, and economical manner.

Tiger Analytics can help your organization manage data assets across platforms, create new cloud-based foundations, and build robust data products at scale. By leveraging our modern DataOps solutions, you can increase agility, reliability, and cost-effectiveness while accelerating the delivery of business value.

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What we do

DataOps capability strategy
We assist organizations in achieving their business needs with quality, speed, reliability, and cost-effectiveness by defining an end-to-end strategy, aided by our modern cloud DataOps and DevOps solutions.
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Data observability
Maximize end-to-end data observability with our tailored solutions that enable effective tracking and monitoring of data assets and quick resolution of errors across all data platforms.
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Platform optimization
Optimize your data platform costs with our accelerators by enabling accurate attribution of resource usage costs, detection of anomalies, and efficient execution of enterprise governance policies.
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Data mesh operations
Eliminate central bottlenecks and accelerate business value delivery by accessing our comprehensive suite of solutions, ranging from modern DevOps practices, self-service data platforms, and federated data governance. We can help you build quality data products with agility and reliability.
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Data quality automation
Enhance your data quality at scale by leveraging our open-source accelerators and major vendor platform expertise to enable an ML-driven automation process for measuring, monitoring, and tracking data assets.
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Data platform InfraOps and DevOps
Optimize your cloud data platform operations with our expertise in cloud platform services architectures, cloud-native and cloud-agnostic IaaC capabilities (such as Terraform), and automated self-service platform provisioning processes.
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Lean data governance
Transform your data governance by implementing a unified, well organized, and easily accessible data catalog that ensures transparency in enforcing centrally-defined policies.
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Framework- and automation-driven methodology to derive reliable insights

Our automation-driven, process-oriented methodology is used by analytics, data, and platform teams to improve quality and reliability, and reduce cycle the time to insights without compromising on organizational controls.

Our experience in enabling large complex enterprise D&A teams and platforms to operate at scale in an agile and autonomous yet loosely connected way, has been distilled into accelerators, best practices, reference architectures and our method of engagement.

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Why choose us?

Enhance your data experience with Tiger Data Fabric
Activate alerting and monitoring with Tiger Thirdeye for Observability
Optimize data platform costs with Tiger Cloud Cost Monitor
Maximize enterprise data visibility with Tiger Data Hub

Customer stories

Tiger Analytics enhances data quality for Fortune 500 firm
Tiger Analytics enhances data quality for Fortune 500 firm
Tiger Analytics expertise in Data Science and Data Engineering went a long way toward helping the client build an observability platform.
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Building an NLP-based virtual assistant for US industrial company
Building an NLP-based virtual assistant for US industrial company
Tiger Analytics made it effortless for hundreds of the client’s data consumers and business users to leverage a cutting-edge solution to discover all available datasets.
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Healthcare provider achieves better personnel management with a powerful cloud ecosystem
Healthcare provider achieves better personnel management with a powerful cloud...
Tiger Analytics developed a fully centralized and robust cloud ecosystem using AWS Data Lake and Snowflake Cloud Warehouse.
Readshp-arrow-topright-large
Tiger Analytics enhances data quality for Fortune 500 firm
Tiger Analytics enhances data quality for Fortune 500 firm
Tiger Analytics expertise in Data Science and Data Engineering went a long way toward helping the client build an observability platform.
Readshp-arrow-topright-large
Building an NLP-based virtual assistant for US industrial company
Building an NLP-based virtual assistant for US industrial company
Tiger Analytics made it effortless for hundreds of the client’s data consumers and business users to leverage a cutting-edge solution to discover all available datasets.
Readshp-arrow-topright-large
Healthcare provider achieves better personnel management with a powerful cloud ecosystem
Healthcare provider achieves better personnel management with a powerful cloud...
Tiger Analytics developed a fully centralized and robust cloud ecosystem using AWS Data Lake and Snowflake Cloud Warehouse.
Readshp-arrow-topright-large
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