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    Digitizing the Core

    Digitization is creating a tectonic shift in the way organizations accelerate their business models. Data architectures are considered a major challenge for businesses to leapfrog their digital journey. To build the data foundation layer for analytics, businesses often have to make a trade-off between going technology-first or business use case-first, with the latter always taking a backseat. The key ingredient to succeed is to consider a two-speed data architecture approach of re-engineering the legacy architecture, with integration of key use case components.

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    Analyst Speak

    LTI recognized as a “Representative Vendor” in Gartner Market Guide for Data...

    Analyst Speak


    LTI recognized as a “Representative Vendor” in Gartner Market Guide for Data and Analytics Service Providers , Jorgen Heizenberg et al, dated 18 June 2018

    (2018)

    Analyst Speak

    LTI featured in HfS Blueprint Report: Smart Analytics 2018

    Analyst Speak


    LTI featured in HfS Blueprint Report: Smart Analytics 2018

    (2018)

    Following are the key essentials for organizations to enable them to digitize the core of data architectures:

     
    Large-Scale Data Management, MDM, Reporting, Compliance

    Large-Scale Data Management, MDM, Reporting, Compliance

    Establish a collaborative data management solution to solve the inherent challenge of meeting the obligatory regulatory compliances across the geographies.

    Big Data-as-a-Service

    Big Data-as-a-Service

    Accelerate data monetization with a frictionless data platform, through the emergence of IV-GL technologies for businesses across the globe.

    LTIMindtree’s Snowflake Capability

    LTIMindtree’s Snowflake Capability

    Reimagine the future with novel hybrid architecture, unique consumption model and unlimited scalability.

    Serverless Datawarehouse

    Serverless Datawarehouse

    Establish cloud platform, with a pay-as-you-go approach, to help businesses with a more innovative and flexible approach to leapfrog their Big Data and Analytics journey.

    Enterprise Data Grid

    Enterprise Data Grid

    Enable real-time data insights from large volumes of data generated from disparate sources across the organization.

    Platform-as-a-Service - Mosaic

    Platform-as-a-Service - Mosaic

    Empower your business with a unified self-service analytics platform, covering integral services like data ingestion, intelligent data catalog, and data amazonization & use case / algorithm marketplace, with an underlying layer of governance and security.

    Metadata-Driven Federated Data Architectures

    Metadata-Driven Federated Data Architectures

    Ensure a standard, consistent business taxonomy for all personas of your organization, by enabling data lineage as an essential for businesses upkeep.

    Data for Digital Transformation

    Data for Digital Transformation

    Establish enterprise-wide data strategy to leapfrog your digital transformations goals, driving transformation at the core (improving core operations) and more (inventing new business models).

    Intelligent Master Data Management

    Intelligent Master Data Management

    Navigate smoothly through data challenges like having multiple systems across LOBs, duplicate master data across systems, redundant and inconsistent data, etc. with driverless master data management using LTIMindtree’s proprietary frameworks.

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