The term “data modernization” spans a wide variety of projects, including migrating a legacy Oracle SQL database to an Azure-based PostgreSQL instance, adopting solutions from Snowflake or Informatica, and applying artificial intelligence (AI) or analytics to improve the relevance or usability of the data for employees and customers.
HFS defines data modernization services as a value chain of capabilities and professional services across six areas: discovery and assessment; platform architecture design; migrate, create, and retire; integrate, automate, and orchestrate; govern and secure; and operate, run, and deliver.
The goal of data modernization is to re-architect the data estate from siloed, federated repositories serving few into an integrated, accessible data architecture that business and technology teams can readily use to discover, build, manage, and securely access in order to build meaningful, actionable insights that deliver results. This report will focus on the services provided to enterprise clients across the first 5 aspects of the data modernization value chain.
Note: All service providers within a “Horizon” are listed alphabetically
Source: HFS Research, 2023
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Watch this HFS Videocast on the HFS Horizons: Data Modernization Services, 2023
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