AWS | Partnerships | Tiger Analytics

Our Capabilities

Data Ingestion & Orchestration

Automate a large part of your effort to ingest data and streamline pipelines with Tiger Analytics’ expertise in AWS Data Migration Service, AWS Transfer Family, AWS Glue, AWS Lambda, Amazon Kinesis Data Streaming, and AWS Data Pipeline.

Data Storage

We help you optimize, organize, and configure access to your data with our expertise in Amazon Simple Storage Service, AWS Lake Formation, Amazon Dynamo DB, Amazon Redshift, and Amazon RDS.

Data Processing

Add security and speed to your data processing with Tiger Analytics’ expertise in AWS EMR, AWS Glue, Amazon Athena, and Amazon EC2.

Model and Serve

Prepare and visualize your data with ML modeling for better insights. We help you do this with our expertise in Amazon QuickSight, Amazon SageMaker, AWS IoT Greengrass, and Amazon Elastic Container Service.

Consumption and Egress

Gain the insights you need in near real-time with our expertise in AWS Glue, Amazon EMR, Amazon Athena, and Amazon Kinesis Data Analytics.

Management and Governance

Let Tiger Analytics help you enable fine-grained access control , security, and compliance management with our expertise in AWS Glue Data Catalog, AWS IAM, AWSIAM Identity Center, Amazon CloudWatch, AWS KeyManagement Services, Amazon Gaurd Duty, and Amazon Mice.

DevOps

Fully automate your CI/CD deployment pipeline while keeping it flexible with Tiger Analytics’ expertise in AWS CodePipeline, AWS CodeDeploy, AWS CodeBuild, and AWS CodeCommit.

Our Solutions

Amazon Redshift

AWS Glue

Amazon QuickSight

AWS EMR

AWS Machine Learning

AWS Lambda

AWS CPG

AWS DevOps

AWS Generative AI

AWS Data and Analytics

AWS Retail

Amazon Redshift

With the applications gaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructure and maintenance costs, etc.

AWS Glue

Businesses now rely on data for analytics, machine learning, decision making, etc. Data is stored and analyzed using a wide range of sources, such as data lakes, data warehouses, etc. The data needs to be processed first before it is loaded into these sources.

Amazon QuickSight

Today’s world depends heavily on data. Making analytical decisions based on the data is a crucial part of improving and growing the business for many organizations where data is arriving from diverse sources and producing insightful information.

AWS EMR

Enterprises today have a large volume of data being produced and collected across various digital touch points. To maximize the value and deliver insights from this large volume of data, there is a need for a solution that can process and deliver interactive analytics and machine learning.

AWS Machine Learning

AWS Machine Learning provides a cloud-based platform for developing and managing Machine Learning (ML) solutions. Their service helps businesses extract insights from data, build models, and deploy ML applications to address operational challenges.

AWS Lambda

AWS Lambda is an event-driven, serverless computing platform provided by Amazon as part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code.

AWS CPG

Amazon Web Services is a cloud-based platform for developing and managing solutions for the CPG industry. Their service helps businesses extract insights from data, build models, and deploy applications to address operational challenges.

AWS DevOps

AWS DevOps provides a cloud-based platform for developing and managing DevOps solutions. Their service helps businesses monitor the entire development lifecycle — from planning, development, integration and testing, deployment, and operations.

AWS Generative AI

Tiger's GenAI offerings and solutions encompass a range of capabilities, including Text, Vision, Speech, and Multi-modal functionalities. These cutting-edge technologies empower us to enhance Business Processes as well as Data Engineering Processes effectively. Additionally, our AI Engineering practice is dedicated to LLMOps and LLM governance ensuring the seamless management of GenAI applications built on LLMs.

AWS Data and Analytics

AWS Data and Analytics suite provides a cloud-based platform for developing and managing Data and Analytics (DnA) solutions. Their service empowers organizations to collect, store, process, analyze, and visualize vast amounts of data efficiently and cost effectively.

AWS Retail

Transform your retail business with our comprehensive cloud-based platform. Gain actionable insights from powerful data analysis and AI, and effortlessly deploy applications to create exceptional customer journeys, streamline inventory management, and achieve significant operational improvements.

Customer Stories

Extracting intelligence from conversations powered by AWS’s native ML services

A prominent retail and commercial bank partnered with Tiger Analytics to address critical objectives such as categorizing customer interactions intent for enhanced service quality, operational cost optimization, and improving call resolution status for better agent performance.

Data and Analytics Platform Leveraging Amazon Redshift for a Global Pharmaceutical Major

Our client, a prominent global pharmaceutical firm headquartered in the United States was relying on an on-premises infrastructure.

Modernized and Migrated On-premise Data Platform to AWS Cloud for a Leading Fashion Giant

The client, a global leader in luxury lifestyle products, sought a transition due to the impending end-of-support for their Informatica version after 2023