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[Slideshare] How To Make Your Business Data Work For You

January 8, 2019 at 7:43 AM

Common barriers to success:

  • Skills shortage: data scientists are in high demand and in low supply. Companies lack the skills to develop advanced data analytics or machine learning applications.
  • Cost: recruiting and building up or training a team, as well as infrastructure costs are immense.
  • Inefficiency and low ROI on: acquisition campaigns; re-activation and retention campaigns; outbound sales calls and debt collection.

Resulting in:

  • No or ineffective use of data.
  • High cost to get insights from data.
  • Low returns from campaigns.

What’s the alternative?

  • Machine Learning as a Service (MLaaS): removes infrastructure skills and requirements for machine learning, allowing you to begin benefiting from machine learning quickly with little investment.
    • Subscription based pricing, allowing you to benefit using machine learning while minimising your set-up costs and seeing returns sooner.
    • Answers as a Service: Use historic data and machine learning to allow answers to increase in accuracy with time.

MLaaS with predictive models pre-developed to answers specific questions:

Benefits of Genius:

  • Quick and cost-effective ability to leverage machine learning:
    • Minimal set-up time
    • Minimal involvement from IT
    • Subscription based service

Looking to make your data work for your business?

Read more on Genius to see how it can help your business succeed. 

Using machine learning in business - download guide

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