2021-06-23-埃森哲-Modernize_and_transform_your_data_foundation_on_cloud_24页_6mb

Summary of "Lighting the way with data on cloud"

Core Content

This document outlines the importance of modernizing a data foundation on the cloud to unlock new business opportunities, drive innovation, and improve operational efficiency. It emphasizes that cloud-based platforms provide the scalability, agility, and advanced analytical capabilities necessary to manage and derive value from growing data volumes. The document also presents a structured approach to transforming data on the cloud, focusing on three key phases: setting the stage, migrating and modernizing, and operating and optimizing.

Main Viewpoints

• Data is becoming more valuable and abundant, with over 2.5 quintillion bytes created daily and expected to grow rapidly.
• Cloud is essential for handling this volume and variety of data, offering a centralized, scalable, and cost-effective platform.
• A modern data foundation is critical to breaking down data silos, ensuring data is accessible, trustworthy, and ready for analysis.
• The three pillars of a modern data foundation are:
  • Modern data engineering to manage data flow and transformation.
  • AI-assisted data governance to ensure data quality, compliance, and security.
  • Data democratization to empower business users to access and use data independently.

Key Information

Why the Cloud Makes Data More Valuable

• The cloud provides access to the most advanced tools for data understanding, analysis, and consumption.
• Cloud platforms support real-time data ingestion and integration, enabling faster and more accurate insights.
• Cloud-based solutions reduce total cost of ownership while improving data quality and security.

What Makes a Data Foundation Modern?

• Modern data engineering enables efficient data acquisition, curation, and provisioning.
• AI-assisted data governance ensures data is clean, secure, and compliant.
• Data democratization allows non-technical users to access and analyze data without IT intervention.

Real-World Examples

• West Midlands Police leveraged AWS to build a scalable data foundation, enabling real-time access to critical data for law enforcement.
• Lushang Group partnered with Alibaba to create a data mid-platform, integrating data assets and supporting digital transformation.
• Intermarché used Microsoft Azure to develop a data-driven solution for product assortment and customer satisfaction.

Path to a Modern Data Foundation on Cloud

• Top 10 Questions to Answer:

  1. Identify current data gaps and how to mature them.
  2. Choose the right cloud service provider(s) and model.
  3. Define the optimal data architecture and required capabilities.
  4. Plan for creating data products that drive future value.
  5. Decide on re-hosting, re-platforming, or re-engineering data workloads.
  6. Establish data governance policies for quality and compliance.
  7. Enable self-service data access and democratization.
  8. Determine the need for external data and how to capture it.
  9. Identify the required roles and skills for cloud data foundation development.
  10. Cultivate a data product mindset within the organization.

• Three Steps to Transform Data on Cloud:

  1. Set the Stage: Assess current data maturity, develop a comprehensive strategy, and select cloud service providers.
  2. Make the Move: Migrate data to the cloud, build a scalable data foundation, and create new data products.
  3. Operate and Optimize: Automate data governance, integrate AI/ML into data management, and continuously optimize the data platform.

Benefits of a Modern Data Foundation

• Enables real-time analytics and AI-driven insights.
• Supports data democratization, allowing more users to access and use data.
• Reduces total cost of ownership and increases data quality and trust.
• Enhances business agility and decision-making speed.
• Facilitates innovation and operational efficiency.

Conclusion

A modern data foundation on the cloud is a strategic enabler for business growth and transformation. It allows organizations to harness the full potential of data by making it accessible, trustworthy, and analysis-ready. By following a structured migration and modernization approach, companies can drive innovation, improve decision-making, and gain a competitive edge in their respective industries.

References

• Domo. Data Never Sleeps 5.0. 2018
• Gartner, Top Trends in Data and Analytics for 2021, Rita Sallem Donald Feinburg, et al. 16 February 2021
• Make the leap, take the lead: Tech strategies for innovation and growth. April 2021
• West Midlands Police
• LuShang
• Intermarché

Authors

• Shail Jain – Lead, Accenture Cloud First | Data & AI
• Sharad Kumar – CTO, Accenture Cloud First | Data & AI
• Dhiraj Bansal – Growth & Offering Lead, Accenture Cloud First | Data & AI