Enterprise Data Management
Preparing your data ecosystem for data driven decision culture
LTIMindtree’s enterprise data management solution is comprised of (but not limited to) following services:
Data governance: Define and structure processes a business or organization follows to ensure the quality and consistency – and therefore usefulness – of data throughout its lifecycle. This includes establishing policies and continuous monitoring of their proper implementation by the members of a governing body determined by an organization.
Master Data Management: Define and implement core processes to manage, centralize, organize, categorize, localize, synchronize, and enrich master data according to the business rules of the organization and provide timely and accurate information to all the functions of the business.
Data Quality Management: Implement rules frameworks to improve the quality of data within a function or organization so that the data can be accurate, complete, consistent, and reliable to be used to solve business tasks.
Data Catalog/Metadata Management: Collect and maintain an inventory of data assets through the discovery, description, and organization of datasets. The catalog will provide context and enable data analysts, data scientists, data stewards, and other data consumers to find and understand a relevant dataset for extracting business value.
Data Architecture Assessment: Analyzing existing data environment, identifying gaps, developing guidelines to address operational data stores, data warehouse, and data mart implementations; Providing roadmap and defining processes to govern data assets across the enterprise.
Compliance and regulation: Consult, assess and implement data framework to address compliance and regulatory needs around data protection, sharing, storage, and publication.
Building Blocks: Consulting, designing, and implementing building blocks for a data driven organization, such as data provisioning, monitoring, self-service, automation, security, workflow orchestration.
Our solution framework and accelerators are derived from our experience in building robust data architectures across various business domains.
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Resources
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Use historical sales data stored in Hadoop to engineer price elasticity estimator to forecast future demands and offer optimal seat price to customers.
Scalable and shared analytical platform for an investment fi...
Delivered a cloud-based scalable cost-effective platform on performance analytics for a UK-based global investment firm.
Winning in the age of personalization
The survey discovers where organizations are in their digital journey, how consumers are perceiving digital experiences, and consumer expectations.
Customer data platform: Delivering extraordinary data-driven...
Building an integrated data ecosystem that delivers personalized experiences in real time to increase purchases, build brand loyalty, and prevent churn.