In brief

In brief

  • To handle high volume and variety of data from many disparate sources, you need a modern data foundation and it is best suited to reside on the cloud.
  • A modern data foundation helps companies overcome common barriers to value: data accessibility, data trustworthiness, data readiness and timeliness.
  • Take the steps to modernize: set the stage, make the move, operate and optimize.

Every day 2.5 quintillion bytes of data are created by humans, edge, IOT devices and machines. The volume of data and the pace of its accumulation will only accelerate in the future. Companies who harness data to derive value through data-driven decisioning are differentiating themselves.

Data’s worth depends on its accessibility and application. Cloud is the only place where data gains scale, agility and the power to drive reinvention so business can soar. Migration is (just) the start. Companies should take steps to modernize their data foundation, so their people can operate with data and cloud innovation at their fingertips.

A modern data foundation has three characteristics:

Modern data engineering

Data sources, acquisition, curation and provisioning

AI-assisted data governance

Metadata management, data trust, compliance and protection

Data democratization

Information access, self-service, data sharing, artificial intelligence models and business intelligence system

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Together, these characteristics help companies blend data from different sources together in real-time, build agile reporting, and leverage analytics and AI to create broadly accessible customer, market and operational insights that deliver meaningful business outcomes.

1. Set the stage

Assess current data maturity and capability, develop a data strategy aligned with business, select cloud services, develop architecture and roadmap.

2. Make the move (Migrate & modernize)

Stand up cloud services, build data foundation, migrate, as needed, from on-prem, build new data products.

3. Operate & optimize

Automate data governance, infuse AI/ML into data management, automate processes for data operation (dev ops/sec ops).

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If you want your company to operate with greater speed, agility and scale, empower human ingenuity, enrich customer relationships, tap into new markets and compete effectively, now is the time to embrace a modern data foundation on cloud.

About the Authors

Lan Guan

Lead – Cloud First, Data & AI

Teresa Tung

Cloud First Chief Technologist

Dhiraj Bansal

Growth & Offering Lead – Cloud First, Data & AI


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Migrating legacy Teradata Data Warehouses to cloud
AI for data: Data capital management @ scale with AI

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