Showing posts with label customer experience analytics. Show all posts
Showing posts with label customer experience analytics. Show all posts

Wednesday, March 12, 2014

What ‘light loving moths’ forgot to tell you about ‘experience design’

‘Light loving moths’ and the world of design?, why this weird comparison! Yes, you may be thinking for a while. As we know there is a common belief that moths, flies, beetles are attracted towards light and that leads them to their unfortunate miseries at the candle light. When we understand that it is by their sheer inability to understand the circular light emitting behavior of the artificial light, these little insects fall prey to the candle fire and other hazards caused by artificial sources of light. Those insects are actually in search of the moonlight that has a constant angle of radiation. 

This occurrence in nature often reminds me about the hypes of nurturing and manufacturing customer experience design. Primarily design has two layers; one physical and second ideological. When physical layer of design act as the necessary act to optimize the functional and material aspects of the subject matter or the object manifestation, ideological layer act as the force that can create a demand or customer appeal beyond its actual capacities. Hence when we make all sort of fuzz about design, design thinking, truth in design we should understand the layer in which we are applying our design efforts and logic.

Tuesday, January 21, 2014

My article in IBM Mobile Insights: Three mathematical innovations for mobile data analytics

Mobile Signal Reflector by Wapster.
Shared in Creative Commons license
Mobile data analytics has become the business driven for various digital experience measurements and front office strategies. As mobile becomes the next enterprise ecosystem for global economy, minutest of the mobile data and its trends influence the executive decisions and customer satisfaction. Mobile device management is also overlapping with mobile data management in more number of ways. In this situation, a data science without business value discovery cannot enable the mobile enterprise. Mathematical sciences has the capability to bridge the vaguest of the problems with the most daunting challenges of the day.

Three mathematical innovations to transform mobile data and analytics:
In this article published in IBM Mobile Business Insights blog, I am exploring the role of cognitive, advanced learning and quantum physics in building big data analytics engines that can meet the contextual and the transient nature of data problems and algorithmic challenges. These are not technical revolutions alone, rather the realizations built on the strength of mathematical constructs and clarity.Read more and join me for an exciting discussion:

Saturday, November 23, 2013

My article on IBM Mobile Business Insights Blog: Mobile Sense and the customer experience

Mobile applications are known for its first impression bias. As the Instagram founder says customer decides to download an app all within 30 seconds. Customers are very much task oriented in dealing with mobile apps and with their mobile usages. However 91% of the mobile users keep mobile with them 100% of the time. Hence mobile applications are at time a lucrative business opportunity and an ever challenging imbroglio. Please read more about this high profile business and technical challenge in the IBM Mobile Business Insights blog article

Join me in conversation in the blog and twitter @gokulgaze. Please share your likes in Facebook if you find this article informative!

Thursday, August 29, 2013

Digital Front Office: The Enterprise Social Bus for Digital Economy !

Watch your thoughts; they become words.
Watch your words; they become actions.
Watch your actions; they become habits
Watch your habits; they become character.
Watch your character; it becomes your destiny.’
(From the famous quote of Lao-Tze)

If we have a time machine that can watch every customer 24× 7 like the above words, it will be one of the most resourceful devices for the social business and digital consumer! How does Customer Experience Lab realize Digital Front Office innovations? What is digital front office for you: A social business hub or customer experience laboratory? … Either ways, you are right! Digital front office is a multi dimensional platform for your business needs. 

We strive to analyze, predict, and transform customer experience through a deeper understanding of customer’s thoughts, words and action. ‘Digital front office’ is the convergence of all the techno social efforts in this perspective. The synergy of social, mobile, cloud and big data innovations is realizing this perennial dream of world markets and business leaders a real social business story. The ubiquitous smart phones, spontaneity of analytics, pervasive social media and the cost effective cloud solutions have made today’s consumer truly digital. Thus the new age digital consumer expects a digital front office in the transactions and experiences. 

Realizing a digital front office requires the right mix of business and technical innovations to the life of customer. At the IBM Customer Experience lab, researches and business innovators work in tandem to envision the world class customer experiences. Located at the T.J. Watson Research Center, with additional virtual collaborators around the world, the IBM Customer Experience Lab is a partnership between IBM Research and IBM Global Business Services. 

When digital front office is a significant business value accelerator (BVA) and primary innovation hub for better digital consumer experience, at the same time it is a virtual window to the world of social business. Social Business thrives on the mobilization of social capital and new social identities. Thus a digital front office can watch the real time trends in social fragments and social identities through various modes of analytics. Innovations like ‘transformative analytics’ are progressing in this trajectory. From media and entertainment industry to micro finance institutions, we can see vivid and variant models of social business. 

A digital front office strategy with an evolutionary and adaptive approach to customer experience analytics(CEA) can realize social business platforms with global market reach and solid growth potentials. This is where IBM Customer Experience Lab meets next generation market dynamics.