data analysis

Each technological age has been marked by a shift in how its industrial platform enables companies to rethink their business processes and create wealth (1). As we are standing on the brink of a new chapter of capitalism are we limiting our ability to rethink due to how we read, measure and perceive the world – how we cherry pick our data?

Data. It is being made out to be sexy – really sexy. Many folks even think that collecting mountains of data and stuffing it into CRM and/or marketing automation systems is the access to delivering great customer experiences. They are mistaken. 

Today's post is a modified version of a post I originally wrote for Confirmit in March 2013. 

What steps are you taking to create a single view of the customer so that you can deliver a more-personalized customer experience? None? Don’t worry! You're not alone.

Thanks for coming along… to refresh your memory: three part series

·         Fixing The Suckiness of Predictive Analytics

·         Introducing Anticipatory Analytics

Great marketers have great guts. Leo Burnett didn’t need a legion of focus groups to come up with the Marlboro Man. Steve Jobs, arguably the greatest marketing mind ever, famously eschewed market research because he didn’t think customers knew what they wanted until he showed it to them.

“Fail fast, fail cheap, fail often,” has become a mantra for the digital age. Stodgy old dinosaurs may be afraid of failure, but it doesn’t bother the new breed of entrepreneurs. They can start-up, shut down and start-up again. Venture investors, for their part, are looking for just one or two big wins out of ten.

As everything is moving faster and less predictable as it seems, organizations are struggling to understand what it means and what options to take and how to land on the right decisions at the right time. The results are often inactions or delayed responses that cost companies.

I originally wrote today's post for Intradiem. It appeared on their blog on March 17, 2014.

What is big data? and how is it used to deliver a great customer experience?

In Nate Silver’s Five Thirty Eight manifesto, he argues that the plural of anecdote is data. It is through compiling and analyzing observations that we transform ordinary experiences into scientific conclusions.

How do we take all the data we have and make some sense of it?

Continuing my CEM Toolbox series, today I'm sharing some tools to inventory and to bring your disparate data and data sources together in one place, to facilitate achieving that single view of the customer.