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Unlock the full power of AWS with Tiger’s unique expertise
Unlock the full power of AWS with Tiger’s unique expertise
Disjointed systems and fragmented data leave traditional supply chains vulnerable. Tiger-SCAI, our Supply Chain Intelligence solution, solves this by creating a unified data foundation and applying targeted AI to unlock actionable insights. We prioritize user adoption with a human-centric design and deliver solutions in stages to minimize disruption. This lets you build resilience, agility, and true visibility, one use case at a time.
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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.
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.
Read moreAWS 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.
Read moreAmazon 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.
Read moreAWS 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.
Read moreAWS 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.
Read moreAWS 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.
Read moreAWS 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.
Read moreAWS 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.
Read moreAWS 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.
Read moreAWS 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.
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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.
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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.
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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
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Blog
Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention
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Blog
Transforming Business Experiences: The Impact of Amazon Q and Generative BI for AWS Partners
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