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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.

Analyst Speak

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

Analyst Speak

LTI featured in HfS Blueprint Report: Smart Analytics 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.

Business Data Lake

Business Data Lake

Reimagine the future with less blurry lines between data and its availability.

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 LTI’s proprietary frameworks.

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