6 Steps to Cloud Data Maturity with AWS

How can you leverage the cloud to become a data-driven organization?

The idea that your business’s data is among its most valuable assets is widely accepted among today’s leaders. But how do you realize that value?

This eBook will demonstrate how you could be making better use of data to improve decision-making drive revenue and transform bottom-line results.

We also have versions of this asset that are focused on data analytics opportunities and challenges within specific sectors:





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    6 Steps to Data Maturity eBook

    In this ebook we’ll address the 6 Steps to Cloud Data Maturity:


    1. Set the Foundation by Collecting the Right Data
    2. Making It Usable: Refining the Data
    3. Moving Up the Hierarchy: Enrich and Clean the Data
    4. Dressing for Success: Aggregating and Labeling Data
    5. Nearing the Top: Simple Machine Learning and Diagnostic Analytics
    6. Self-Actualization: Implementing Full-Scale Predictive or Prescriptive Analytics
    Further Reading
    The Ethics Of Machine Learning
    Data Led
    Building a business case for data analytics
    The Truth About Data Analytics
    The Path to Data Analytics: Building a Strong Foundation with GCP