Case Studies

Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider

Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider

A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing

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Single source of truth from 500+ data feeds - Fortune 500 firm implemented an enterprise data lake on cloud (AWS)

Single source of truth from 500+ data feeds - Fortune 500 firm implemented an enterprise data lake on cloud (AWS)

A scalable, one-click data ingestion solution for data pipelines and use cases with built-in robust security, governance, and metadata management

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A bank’s analytics transformation journey - Automated assessment  and transformation of Informatica workflows and Oracle EDW to AWS

A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS

A Top 100 American bank used Impetus’ Workload Transformation accelerator for intelligent assessment and auto-converting ~80% of their Informatica and Oracle data warehouse to an enterprise-ready, open source AWS cloud-native system. The transformation leveraged EMR Spark and AWS Redshift and instituted a CI/CD cloud-native DevOps architecture and framework implementation.

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A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture

A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture

A U.S.-based Fortune 500 bank wanted to offload their Teradata-based Marketing Campaign Process (MCP) to Hadoop. Impetus designed a hybrid big data-based cloud solution for the end-to-end transformation of workloads from Teradata to a modern Hadoop-based data lake architecture.

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A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months

A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months

Released 20% capacity and reduced 40% TCO using automation for end-to-end transformation and validation

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How a telecom giant fast-tracked their data lake implementation

How a telecom giant fast-tracked their data lake implementation

Modern machine learning implementation on the data lake led to 6% increase in customer acquisition

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Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix

Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix

Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor such as hacking, especially in a highly regulated industry like banking.

StreamAnalytix helped this large bank to identify and prevent insider information security threats through use of predictive analytics and machine learning, to automatically and effectively detect previously unknown threat scenarios and patterns, and raise appropriate alerts and actions to prevent predicted breaches.

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A centralized data lake on the cloud enabled a single source of truth with real-time integration of sources

A centralized data lake on the cloud enabled a single source of truth with real-time integration of sources

A leader in digital solutions for enhancing customer journeys implemented a data lake on AWS resulting in 60% infrastructure cost reduction and improved application performance by re-architecting for the cloud

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Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix

Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a new breed of digital players.

StreamAnalytix provided this US based cable TV and telecom provider a real-time 360-degree view of its customers, enabling micro segmentation and targeting, dynamic marketing campaigns, and contextualized customer service for enhanced customer experience across touch points.

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