Six Steps to Cloud Data Maturity

How to Leverage the Cloud and Become a Data-Driven Organization

From a retail industry that has experienced a period of rapid transformation, changing how consumers shop, to banking and private equity institutions creating new business value for growth and a competitive edge, the race to data-maturity is through the cloud.

We’ve developed three eBooks that are roadmaps to accelerate transformation where the data-driven innovative technological opportunities are now tangible.

Enterprise organizations that need to harness the effective use of data analytics and drive success-oriented initiatives across all areas of their business to increase revenue and transform the bottom-line will benefit from Cloudreach eBooks.

Click one of the links below to download a free Cloudreach eBook:

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A guide for Financial Services: 6 steps to Data Maturity

Download our infographic to find out the six steps you need to follow. The infographic highlights the six key stages of data maturity.

 

 

 

Investment bank to the cloudSix steps to accelerate data maturity in Banking and Private Equity

Download our infographic to find out the six steps you need to follow. The infographic highlights the six key stages of data maturity

 

 

 

Retailer Case StudyNavigating a new retail landscape: Six steps to accelerate your data maturity

The effective use of data and analytics can help drive the success of initiatives across all areas of retail, improving business resilience, increasing revenues and transforming the bottom-line.

 

Download eBook

    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