Recommendation Services
Recommendation services incorporate prediction services into strategic and actionable organizational recommendations. Best practices in the recommendation services phase: • Maintain a set of business rules in the recommendation engine to provide an agile way to reshape recommendations as the business environment evolves • Continual monitoring of the recommendations yielded from each running of the model is strongly suggested to best inform future iterations • Set the proper vision that smart data recommendation engines are meant to assist and empower data and analytic employees and not replace them; trust and buy-in are critical to the success of smart data-driven recommendations
Automation Services
Automation services build upon recommendation services, automating business processes by selecting and executing the top recommendations. Best practices in the automation services phase: • Companies need to establish high-quality recommendations that place the customer at the heart of the organization so automation can be achieved. Customer engagement levels can rise significantly while operational costs can be reduced • Tools and processes can only be automated when employees and end users alike feel empowered during the customer experience; automation removes repetitive and mundane work for the employee, driving them to more value-laden production within the organization • For the customer, automation driven by empowerment results in faster customer service and deeper engagement
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