Big Data and It's Implications For Customer Experience

Now that I have a bit of a new focus for this blog around big data and how that impacts the customer experience, I thought I would write a series of posts that, at the core, will lay out what people are doing with big data today and how it is been useful for driving customer experience in organizations.  I know there are a ton of blogs or sites that may discuss this, but I am going to try to keep it simple, short and understandable for anyone to consume.

Over the course of the next few blog posts, I am going to try to lay out:

• What big data really means to most people
• Why it is important
• What kinds of use cases are being deployed currently
• The associated business value of those use cases
• The technology behind the big data ecosystem
• The journey data takes to get from being produced to being used

By doing this, I hope to help pull back the veil of complexity that seems to trip most non developer/non technical folks up when they are learning about big data.  It surprises me how poor of a job most big data companies are doing in communicating the capabilities of big data technology and how those capabilities relate to true business value.  And this is not just a problem for executives or what most people refer to as the "business" people.  I am still seeing many people that are considered technical in their job roles who don't fully understand the technology ecosystem in big data and how it can enable business value.

So these first few posts will try to break this complexity and confusion down to small, digestable nuggets that anyone can consume and begin to use in their role.

First up, we will focus on what big data really means to most people and why it is important.