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