Data is
expected to get to 44 zettabytes (1,000,000,000,000
gigabytes) by 2020. Retailers analyze data and apply it in the real world to
predict purchase behaviors, optimize which products get shown on a page while
scrolling, allow institutions to stop fraud, etc.
Customer relationships management software (CRM) have remained stagnant
since the 1990s. CRM has become largely inefficient because reps have to spend
tome manually entering data and spend even more time searching through it.
Machine learning and predictive data engines is bringing us closer to
enterprise apps that tell users what the highest-value or most-urgent tasks are
so they can be prioritized with artificial intelligence and decision support
algorithms. The future of CRM is predictive analytics and knowledge of a
specific industry and workflows of the business function.
CRM isn’t dead yet, but it will be unless it gets smarter and can save
more time rather than wasting tme with data entry and lookup.
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