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Customer Analytics

What does AI mean for Customer Experience Managers?

As technology advances at a rapid pace with no signs of slowing down, it is important to be up to speed with the newest technologies and their impacts on your business. For Customer Experience Managers, AI is one of these new technologies disrupting the way in which brands interact with their customers. Furthermore, as customers come to expect more personalized experiences, not understanding and utilizing AI at all touch points leaves your organization at risk of being left behind in this hyper connected and mobile economy.

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Using AI to create personalized interactions at scale

In a world strife with buzz words it can become foggy as to what specific things mean; or furthermore, how they are utilized. AI has not escaped this barrage of marketing lingo over the years and thus become a grand concept rather than an actionable tactic for innovation. But, as with any tactic there must be an end goal in mind. For Retailers, using AI to create personalized interactions across all channels at scale is the most focused. By creating a 360 degree view of customers organizations can begin to understand purchasing motivators and use advanced data sciences to prescribe intelligent actions.

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How Journey Analytics Transcends Traditional Customer Mapping

Have you ever used an out-of-date map where the static picture on your screen doesn’t quite reflect what’s going on in real life? If you have, you know this map is essentially useless and leaves you with no direction.

This exact problem has plagued marketing, sales, and customer experience teams when it comes to mapping their customers’ journeys. Companies will often spend large amounts of resources to build this incredible intertwined web of connections that make up their ideal customer journey maps. The problem is, these roadmaps are hypothesized journeys based on the organization’s interpretation of customer behavior and not rooted in fact. Furthermore, these static pictures are often outdated before or shortly after their deployment as customer attention spans are dynamic and therefore so are their ideal journeys.

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From Dead End to Data Analytics

Boston, MA – My name is Brian O’Connor, and a year ago I made the decision to change my career and enter the innovative world of Data Analytics. Everyone wants to provide value and feel useful. Unfortunately, in your typical banking role that is not always the case. Seeing no growth path and lacking the feel of bringing actual value to my clients, I made the decision to enter the Level Education boot camp. Since then, I have been brought on the Pandera Systems team as a Business Intelligence Analyst and couldn’t be happier with where my career is heading (not to mention the value I am providing to my clients). I was honored to give a speech this past Friday at a Boston WeWork to a group of potential students interested in making the leap into the data analytics space.

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