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:

• Genius Call Connect: What is the best time and number to call customers?
• Genius Customer Growth: Which customers are most likely to respond to cross-sell?
• Genius Re-activation: Which dormant customers are worth re-activating?
• Genius Customer Retention: Which customers are most likely to churn?
• Genius Leads: Which contacts are likely to respond to my campaign?
• Genius Risk Classifier: Which debtors are most likely to pay or roll?

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.