Stockmann Success Story with Tech Mahindra and AWS.
Data Analytics
Navigate the data era with effective frameworks, capabilities, and solutions.
Unlock The Power Of Your Enterprise Data
Tech Mahindra has been helping our clients navigate challenges in the data era for more than two decades. We have developed multiple effective frameworks, capabilities, and solutions covering the entire spectrum of data management and analytics services.
Our Services
Data Advisory
Collaborate with our team to define your enterprise's data strategy through an audit, strategy, and roadmap, providing an as-is assessment and methodology.
Data Management
Securely manage data through data consultancy, acquisition, quality, governance, master data management, and metadata management.
Data Migration
Respond to your data needs for selection, preparation, and transformation across on-premises, cloud, and multi-cloud environments to ensure data quality and delivery to the right target at the right time.
Data Operations
Our framework for DataOps and data observability covers the end-to-end lifecycle phases, including consulting, organizing, building, and operating.
Data Advisory
Collaborate with our team to define your enterprise's data strategy through an audit, strategy, and roadmap, providing an as-is assessment and methodology.
Data Management
Securely manage data through data consultancy, acquisition, quality, governance, master data management, and metadata management.
Data Migration
Respond to your data needs for selection, preparation, and transformation across on-premises, cloud, and multi-cloud environments to ensure data quality and delivery to the right target at the right time.
Data Operations
Our framework for DataOps and data observability covers the end-to-end lifecycle phases, including consulting, organizing, building, and operating.
Data Advisory
Collaborate with our team to define your enterprise's data strategy through an audit, strategy, and roadmap, providing an as-is assessment and methodology.
Data Management
Securely manage data through data consultancy, acquisition, quality, governance, master data management, and metadata management.
Data Migration
Respond to your data needs for selection, preparation, and transformation across on-premises, cloud, and multi-cloud environments to ensure data quality and delivery to the right target at the right time.
Data Operations
Our framework for DataOps and data observability covers the end-to-end lifecycle phases, including consulting, organizing, building, and operating.
Data Platform Architecture and Build
Create a centralized data platform that enables self-service data analysis, immediate access to the data cloud, and the capacity to scale up quickly through technologies such as EDW, Big Data on Cloud, Data Lake, Delta Lake, and Lakehouse.
Modern Data Integration and Availability
Assess varying needs for data availability and visualization through proven frameworks such as ETL, data fabric, data mesh, data virtualization, data composability, streaming data, and data exchange.
Data Monetization
Through years of research and experience in data marketplaces, we help you identify and monetize assets while adhering to the prevailing guidelines.
Data Visualization and Business Intelligence
Visualize the value and insights from the enterprise data and analyze organizational KPIs through various advanced visualization tools.
IP and Platforms
Visualisation as a Service
VaaS framework is a one-stop solution for all BI and analytics requirements, including self-service analytics, NLQ/NLP query, dashboard templates, and Smart narrative.
Common Data Ingestion Framework
CDIF is a metadata-driven automated ingestion framework that expedites the data onboarding process. It also helps to automate data quality checks and basic data transformations while ingesting data.
Data and Analytics Hub for Large-scale Insights Acceleration
A Single Pane of Glass is used for the modern data value chain, including data ingestion, management, optics, modernization, and outcomes.
Analytical Process Orchestration Framework
Simplify the journey from data collection to consumption with a workflow pipeline, making the transition from raw information to efficient consumption smoother.
Data Migration Workbench
Accelerate data migration to the cloud through automation and best practices, which helps organizations reduce 40% of migration efforts.
InfoWise ®
Disruptive intelligence platform to monitor analytics resource consumption, maximize efficiency by 20-30% and save time in data analysis by 40-60%.
Unified Data Management Framework
A unified data management framework for data migration and data quality management can also be implemented as a revenue and margin assurance framework.
Supply Chain Analytics
Address key challenges in the SCM value chains and adapt the Kanban methodology framework for implementing agile and DevOps software.
FasTest
FasTest is an ETL Testing Automation Framework that handles the complexities involved in the ETL Testing and reconciliation phase, making its execution faster, more reliable, and more consistent.
Data Mesh and Data Fabric
Data Mesh and Data Fabric are modern architecture concepts that enable the availability of quality data in a timely fashion to the right people in the right format.
Visualisation as a Service
VaaS framework is a one-stop solution for all BI and analytics requirements, including self-service analytics, NLQ/NLP query, dashboard templates, and Smart narrative.
Common Data Ingestion Framework
CDIF is a metadata-driven automated ingestion framework that expedites the data onboarding process. It also helps to automate data quality checks and basic data transformations while ingesting data.
Data and Analytics Hub for Large-scale Insights Acceleration
A Single Pane of Glass is used for the modern data value chain, including data ingestion, management, optics, modernization, and outcomes.
Analytical Process Orchestration Framework
Simplify the journey from data collection to consumption with a workflow pipeline, making the transition from raw information to efficient consumption smoother.
Data Migration Workbench
Accelerate data migration to the cloud through automation and best practices, which helps organizations reduce 40% of migration efforts.
InfoWise ®
Disruptive intelligence platform to monitor analytics resource consumption, maximize efficiency by 20-30% and save time in data analysis by 40-60%.
Unified Data Management Framework
A unified data management framework for data migration and data quality management can also be implemented as a revenue and margin assurance framework.
Supply Chain Analytics
Address key challenges in the SCM value chains and adapt the Kanban methodology framework for implementing agile and DevOps software.
FasTest
FasTest is an ETL Testing Automation Framework that handles the complexities involved in the ETL Testing and reconciliation phase, making its execution faster, more reliable, and more consistent.
Data Mesh and Data Fabric
Data Mesh and Data Fabric are modern architecture concepts that enable the availability of quality data in a timely fashion to the right people in the right format.
Visualisation as a Service
VaaS framework is a one-stop solution for all BI and analytics requirements, including self-service analytics, NLQ/NLP query, dashboard templates, and Smart narrative.
Common Data Ingestion Framework
CDIF is a metadata-driven automated ingestion framework that expedites the data onboarding process. It also helps to automate data quality checks and basic data transformations while ingesting data.
Data and Analytics Hub for Large-scale Insights Acceleration
A Single Pane of Glass is used for the modern data value chain, including data ingestion, management, optics, modernization, and outcomes.
Analytical Process Orchestration Framework
Simplify the journey from data collection to consumption with a workflow pipeline, making the transition from raw information to efficient consumption smoother.
Leading the Way
White Paper
Choosing the Right Managed RDBMS on Google Cloud Platform: A Comprehensive Guide
A detailed exploration of managed RDBMS service on Google Cloud Platform (GCP), including CloudSQL, AlloyDB, and Cloud Spanner, with decision-making principles
White Paper
Redshift Deep Dive
Redshift Deep Dive to Accredit a Well Architected Framework.
White Paper
Data Fabric or Data Mesh?
Find the right data management strategy for your organization.
Brochure
Data Lakehouse with Cloudera
Enjoy the benefits of a data lake and a data warehouse at lower TCO.
Brochure
Data Virtualization
Accelerating the Journey to an Intelligent Enterprise with Insightful and Timely Decisions.
White Paper
Migrating Apache Hadoop to Amazon EMR
Modernize your Data Processing capabilities.
Case Study
Modernize Cloud-based Transformation
Stockmann Success Story with Tech Mahindra and AWS.
White Paper
Choosing the Right Managed RDBMS on Google Cloud Platform: A Comprehensive Guide
A detailed exploration of managed RDBMS service on Google Cloud Platform (GCP), including CloudSQL, AlloyDB, and Cloud Spanner, with decision-making principles
White Paper
Redshift Deep Dive
Redshift Deep Dive to Accredit a Well Architected Framework.
White Paper
Data Fabric or Data Mesh?
Find the right data management strategy for your organization.
Brochure
Data Lakehouse with Cloudera
Enjoy the benefits of a data lake and a data warehouse at lower TCO.
Brochure
Data Virtualization
Accelerating the Journey to an Intelligent Enterprise with Insightful and Timely Decisions.
White Paper
Migrating Apache Hadoop to Amazon EMR
Modernize your Data Processing capabilities.
Case Study
Modernize Cloud-based Transformation
Stockmann Success Story with Tech Mahindra and AWS.
Thought Leadership
Views
Driven by Analytics: Orchestrating Data-Driven Processes for an Efficient Enterprise
Views
From Chaos to Clarity: Transform Your Data Visualization with Visualization-as-a-Service (VaaS)
Views
Driven by Analytics: Orchestrating Data-Driven Processes for an Efficient Enterprise
Views
From Chaos to Clarity: Transform Your Data Visualization with Visualization-as-a-Service (VaaS)
Views
Driven by Analytics: Orchestrating Data-Driven Processes for an Efficient Enterprise
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