RESEARCH REPORT

In brief

In brief

  • Though data creation is accelerating, too few companies use customer and operational data for competitive advantage.
  • By embedding data and predictive analytics at their core, data-driven enterprises maximize the value of this asset.
  • Becoming truly data-driven involves leveraging a cloud architecture and linking a data strategy to clear outcomes—“data on cloud” high-ROI opportunities and data as a strategic asset.
  • Business leaders must commit to a strategic, cloud-enabled, data-driven culture.


The cloud as a catalyst for data-driven intelligence

Data-driven enterprises are those that maximize the value of data and treat it as a strategic asset—using it for innovation and critical business decisions. Characterized by cloud-based optimization, continuous learning and an insights-driven culture, these businesses embed data and predictive analytics at their core.

Data-driven businesses leverage the cloud to embed data and predictive analytics at their core.

Creating a “data on cloud” strategy

A well-orchestrated move to the cloud offers many benefits: scalability, flexibility, and data-powered insights for smarter, faster outcomes. The “best fit” architecture approach to data on cloud can include:

  • Extending the on-premise data supply chain
  • Modernizing the data supply chain on the cloud
  • Creating a new data ecosystem on the cloud


AWS and the data-driven enterprise

Amazon Web Services (AWS) offers a complete set of on-demand cloud services, as well as managed services for analytics, including big data stores, data warehousing, distributed analytics and business intelligence. Their flexible, open and secure environment gives organizations the ability to develop their own tools, install their own software, or use partner solutions.

Becoming a data-driven enterprise

Here are some ways to harness the power of data for advanced innovation and business agility:

  1. Link a data-driven strategy to clear business outcomes
  2. Start with high-ROI opportunities
  3. Model the potential business value, so data is seen as a strategic asset
  4. Empower the lines of business with actionable insights
  5. Create a “data on cloud” strategy
  6. Gain buy-in from business leaders
  7. Manage organization and culture change effectively
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