Social Customer Intelligence Trends – BRIDGEi2i Infographic

“Above all else show the data,” quoted visualization guru, Edward Tufte, way back in 1983. While Tufte might have been referring purely to visualization, we can extrapolate his concern very easily to the metrics we use to “show the data” as well.

So, a long time ago, when I was a kid, I asked my dad, “What is the best way to make money?” I expected an answer in the lines of “Become a Politician or an Actor or an Entrepreneur”. But what he told me was completely different and it still stays in my mind.

I spent a lot of my college days playing this incredibly brilliant and additive game during my days – Age…

As per Wikipedia “A simple definition of analytics is the science of analysis… Business managers may choose to make decisions based on past experiences or rules of thumb, or there might be other qualitative aspects to decision making”.

Virtual Reality (VR) is no longer a technology reserved for the gaming industry. The applications are manifold in industries such as education, engineering, healthcare, insurance, sports, telecommunications etc., Two things occurred to me when I first tried google cardboard was:

How immersive the experience would be in a much more technically crafted devices like Oculus Rift and
What would be the current and potential enterprise applications and implications of this technology for insurance industry.
Unlike other technology disruptions like telematics, IoT, mobile, digital and cloud in insurance industry which I have outlined in one of my previous blog, VR is yet to catch up in terms of adoption by insurers. However, there are some applications from which the early adopters of this technology have started benefiting.

We spend significant amount of time sharing our thoughts and experiences by interacting with people. Be it about our organizations or about our opinion on upcoming elections or even about a new mobile phone we recently bought, we all love to share our experiences.

Customer Life Time Modeling techniques can leverage existing transactional, demographic and lifestyle information about customers and then predict the most profitable pathways to becoming Most Valuable Customers in the portfolio. They can also surface out very unique nuances about micro segments of these MVCs, which can then be used to bring out very customized and personalized experiences. Nothing gets a relationship going better than personalized attention. Data driven customer relationship management and personalization enables companies to place well informed, strategic bets on emerging MVPs among customers and lock them in early into long lasting very profitable relationships.

The need for Analytics in Sales function has resulted in the growth of the overall market for predictive analytics applications. At present, there are dozens of Sales Analytics solutions available in the market.

Like the Arab Spring of 2010 and multiple other movements, there is a silent revolution underway in the form of “Open Data Movement” which is creating a lot of data and revealing insights that are changing the way in which we are living.

Data driven customer intelligence is a fairly evolved science. Enterprises have sunk enormous investments in sophisticated data mining algorithms and the associated infrastructure in order to be able to identify the cream of their customer portfolio. As a result, these companies have a pretty good handle on who their high value customers are, what they like, where do they live, what will they spend on, when they will sneeze etc.

This information is leveraged massively to tease out the last dollar from the wallets of the high value customers by bombarding them with offer after offer, day after day. Alas, unable to withstand this battering, some customers run for the hills, never to return.

Yes, success of any project can be defined by three important parameters, the ability to coordinate an enterprise wide adoption, business impact it brings to the organization and the amount of industry best practices it brings to the organization. With these parameters, we will compare the Managed services model with a piece meal project execution.

We, the BRIDGEi2i Marketing Team, pack in a lot every month; Campaigns, Thought leadership, SMM, AR/PR, well…you know…the works. Somewhere in the midst…

During my school days, I remember one of my teachers saying “Science is everywhere.” Today we probably relate more with “Analytics is everywhere.” Sports is no exception. In the past decade, there has been a major drive for sports to become data-driven.

Trust Google to come up with interesting stuff. With a ginormous collection of over 5 million e-books, they created the Google Ngram Viewer app. The purpose is simple – to observe the existential trend of a set of words used in literary works over a period of time. As with most Google creations, the app has great applications – especially for someone interested in Natural Language Processing and the study of evolution of topics.

As an inquisitive NLP analyst, this app really excites me. It helps me tie a few hypotheses together that we couldn’t have decisively done with smaller text corpora.

There are a plethora of articles on the rise of big data and the underlying hardware and software that drive this phenomenon. No, I don’t intend to add to that clutter. This blog attempts to infer the evolution of this phenomenon through a study of the evolution of the words that define it.

One of the most interesting features of Tableau is its capability to understand your geographical data like Longitude & Latitude, Country, Stage, Country, Post Code etc. and plot data as filled maps (or choropleths) or symbols on a map at a desired (and available) level of geographical granularity.