As I reflect back over the year, this is one conversation that has left some deep impressions on me. The challenges that are there in rewiring our skills, learning from different streams and applying them in our day-to-day working is becoming more and more critical.

Marketing today is on the threshold of change. In the past, marketing as we knew it was largely dominated by 30-second TV spots and other mass media such as print, outdoor, radio and so on. The number-crunching only came into play while deciding which medium to back in the advertising campaign and for what price to buy the media.

But, look around today and there are the likes of Google, Facebook, Twitter and others who apply complex algorithms such as Page Rank, Adsense, marketing mix modelling, content marketing and so on along with technology (analytics, digital marketing, search engine optimisation (SEO) and search engine marketing (SEM) to make marketing a lot more data-driven. Similarly, in music the magic of maths plays a huge role.

As a musician, Padma Vibhushan Umayalpuram K Sivaraman has an accomplished career of nearly 71 years – he debuted at the age of 10 and has been seen and played with the best musicians across the years. His son has been one of the earliest adopters of marketing analytics in India. cat.a.lyst brings you a conversation between the legendary mridangam vidwan and his son S Swaminathan, Co-Founder & CEO of Hansa Cequity, a major customer marketing & analytics firm, on the cross-learnings from music, maths and marketing.

Here's the full link to the conversation

I loved this article by Jeff Leek on how the era of data has evolved over time.

1. The era of not much data This is everything prior to about 1995 in my field. The era when we could only collect a few measurements at a time. The whole point of statistics was to try to optimaly squeeze information out of a small number of samples - so you see methods like maximum likelihood and minimum variance unbiased estimators being developed.
2. The era of lots of measurements on a few samples This one hit hard in biology with the development of the microarray and the ability to measure thousands of genes simultaneously. This is the same statistical problem as in the previous era but with a lot more noise added. Here you see the development of methods for multiple testing and regularized regression to separate signals from piles of noise.
3. The era of a few measurements on lots of samples This era is overlapping to some extent with the previous one. Large scale collections of data from EMRs and Medicare are examples where you have a huge number of people (samples) but a relatively modest number of variables measured. Here there is a big focus on statistical methods for knowing how to model different parts of the data with hierarchical models and separating signals of varying strength with model calibration.
4. The era of all the data on everything. This is an era that currently we as civilians don’t get to participate in. But Facebook, Google, Amazon, the NSA and other organizations have thousands or millions of measurements on hundreds of millions of people. Other than just sheer computing I’m speculating that a lot of the problem is in segmentation (like in era 3) coupled with avoiding crazy overfitting (like in era 2).

What is interesting to me is that how this will impact the world of analytics thro' application of new methodologies like AI and Machine Learning is one thing. The other one that I see is that how does this 'mass of data that is being generated' represent the right population that one is developing insights on. There is a lot of potential biases that can happen given the kind of people who have access to the net.

So, the future is about an era of mixing lot of samples offline along with a lot of data that is being generated online. The power of data fusion techniques will be required to build meaningful insights and predictive actions by various industries across the world. 

I am launching my own Podcast - ContraMinds - Decoding People, Minds, Strategy & Culture. 

This is a podcast that explores thoughts and conversations around the DNA of purposeful minds. It tries to decode what really goes behind the minds of people with a purpose, what are their motivations and inspiration, attempts to understand the why behind what they do and how do they successfully accomplish what they set out do. It helps provide a mental framework, markers and a mind map for each one us to learn and discover from their life purpose, their cultural ecosystem and their experiences. These conversations will hopefully open your mind, help you put some these thoughts to practice both in your life and career.

In this first episode, I am going to be sharing with you my thoughts on 'Differences between a professional and an employee mindset'. I look forward to having your feedback, conversations and comments from all of you.

This Podcast is available in Apple Podcasts, Stitcher, Tune-in, Spotify and please do go ahead subscribe and share this with your friends and colleagues.

Data confidentiality and privacy is a primary right which Indian consumer needs to demand, as the economy becomes more and more digitally driven.

Data privacy and protection is a fundamental foundation for an emerging data-driven economy like India. Permission marketing will be the next battleground brands or marketers will have to take cognizance of, as India transforms from a data-poor economy to a data-rich economy. Permission marketing, a word coined by marketing expert Seth Godin in a book by the same name, is a non-traditional marketing technique that advertises goods and services when advance consent is given.

Let’s look at some trends on how the Indian economy is moving towards being more and more data driven. At the last count, India has claimed first place across the world with 270 million Facebook users followed by the US which has 240 million Facebook users. Indians are leaving behind so much private data and information on this social media platform which is accessible to the world. The number of mobile wallet users in India is already over 250 million with Paytm having more than 100 million users and growing at a rapid pace. India, not China, is the world’s fastest growing mobile payment market. The number of mobile wallet transactions is expected to surge to Rs 1 trillion in 2018. By 2025, digital transactions are expected to reach $1 trillion with four out of five transactions done digitally. There is little wonder then that the Reserve Bank of India (RBI), the country's central bank, has promulgated Know Your Customer (KYC) norms for wallet companies. The amount of privacy data that is being left behind with wallet companies is also enormous.

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Recently, I had a chat with Kate Visconti, Managing Director of  Acumen Solutions, USA who takes care of the Sales Acceleration and Change Management Practice. She is also an Adjunct Professor with Santa Clara University, USA. It was an interesting & engaging conversation and here are the highlights of the discussion.

What was interesting to me was the points she made for successful adoption of technology in an enterprise - the importance of business process re-engineeering, change management as much the software or technology selection & upgrade itself and looking at the implementation itself thro' a customer lens.

I have believed for many years that these were the most critical aspects when it comes successful technology adoption & usage and often enough importance & attention is not paid within the organization and the stake holders to this area. Kate brought this out beautifully and reinforced this very well during our conversation.

Here is the summary of our chat:

Swami: How do you approach a technology implementation and what do you believe are key differences that you or your organization focuses on?

Kate: We always start any technology implementation with a first principle approach - how is the enterprise and their stakeholders currently thinking, feeling and doing with their workflow right now. We strongly focus on process innovation and not a run-of-the-mill implementation like other system integrators. We conduct multi-day workshops, build customer personas, enable collaborative  conversations across cross-functional groups to understand current issues and identify opportunities for optimization and automation. For us change management is as much important as the technology implementation itself. That's a key difference we believe we bring to the table & where I have seen successful technology transformation happen. 

Swami: When it comes to selecting or shortlisting technology platforms or software etc. and adopting technology across the organization, which are areas that are normally missed by them in your experience?

Kate: Most of them don't have an 'outside-in' approach and we bring that to play when we work with organizations. When a tech platform or software is selected, there is a lot of discussion on features, benefits etc. but very often during implementation, they don't see the technology from a customer's lens. We do a lot of shadowing to know how the current processes work, do customer research, customer experience benchmarking and often these are areas that are not often not given enough attention or missed most often.

Swami: Enterprises spend millions of dollars on acquiring licenses for tech & software and you have seen many successful technology implementations, adoption and transformation across enterprises, what do you believe is the secret sauce for their success?

Kate: What I have seen in enterprises where there have been successful technology transformation or adoption is that if there is an Engaged Executive Sponsor, the chances of success improve by at least 2 times! An engaged leadership committee which defines the vision & organizational priorities makes the next difference in the success as the technology road map, business outcomes and priorities get defined well. Engaged Stakeholders make the next difference - end-users, managers, executives, customers as they influence adoption and validate user experience across the enterprise. These I believe are the secret sauce to success and where I have seen this happen in organizations, things have been successful most of the time.

Swami: You also emphasize a lot on hand-holding the enterprises which your organization does after you implement the technology or software. That's a very interesting point that you make and in fact what kind of metrices do you track and for how long do you suggest one must do this?

Kate: I normally suggest we do this for 60-90 days ramp cycle depending on the scale and complexity of the project and implementation. We track a lot of metrices post implementation like:

1. Project Success - Both by way of budget and time
2. Adoption -  Quality of inputs that go into using the software or technology within the enterprise after roll-out - Timeliness, Completeness of the information, Not just no. of log-ins but demonstration of new user benefits and referrals etc.
3. Business before vs Business After - Benchmarking and looking at % increase in agreed business metrics, % decrease in, say, sales cycle or service cycle reduction etc.

These are some of the sample key metrices one should look at.

Swami: There is often an underestimation of the services costs which enterprises need to spend to make the technology transformation successful. There is a lot of focus on licenses fees, infra needed, maintenance & renewal fees etc. but much less attention is paid to services & costs associated with it. Right?

Kate: I totally agree with you, Swami. In my estimate, these may vary by project scope, complexity and these are directional just to give you a perspective that enterprises need to factor these services cost for a successful technology transformation - up to 30-40% factor for change management, engaged leadership, customer research, building alignment workshops, post implementation program adoption costs etc. These are over and above license fees and customization costs they would incur during the course of a 3-4 year project or program.

Swami: I saw that right at the start of our chat, you mentioned don't treat it like an IT project. What did you mean by that? 

Kate: I often quote from the point made by Forrester Research Chairman and Chief Executive Officer George Colony made on technology projects, that in this age it is transforming from IT projects to Business Technology projects thinking. This is a key difference to successful technology selection, implementation, adoption and usage. I also say - Don't treat it like an IT project but treat it like a customer project!

Recently, I read a very provocative and interesting article in HBR - 'AI may soon replace even the most Elite Consultants'

As I read thro' the article, the key question that came to my mind was- really, how close are we to this reality? Leave alone consulting, there are several industries like legal, medical, design, fashion, movies, media & creative fields where human mind, intelligence & experience plays an important role in discovering, exploring ideas and making decisions.

I felt AI may support and  aid decision making more & more not just replace everything that humans do, mostly replace repetitive tasks that may not need human intervention and improve efficiency but will be used in areas to help people take better & informed decisions. AI will be successful only if there is a strong human collaboration between AI tools & platforms. As I read a little more about this, I came across a lovely interview with MIT Media Lab's Sandy Pentland who talks of complementary relationships between man and machine for higher level results! Here's the video link:

Would love your thoughts & feedback!

Recently, I got a news alert on a topic that I was interested. When I clicked on it, I got this message below:

I was extremely perturbed as I was not expecting a pop-up message like this, as I really wanted to control the choice of ads from my side, to decide whether I wanted to see any ad or not. I really didn't care, I found an alternative source for the same information and got to read it.

What I having been observing is that businesses still follow 20th century marketing models which I strongly believe does not work in the new emerging digital ecosystem.  Also, marketing of yesteryears was about "pushing" messages but marketing of the future is about managing and engaging empowered customers who decide to "pull" and then engage with the message or not.

Information monopolies & interruption marketers really don't work that way. They believe now with digital, they have captive customers looking into their home screens and they can apply the same old world marketing principles. Those principles don't work any more. The TV remote/Set-top boxes changed the way customers started viewing television programs & skipping marketing messages. In the digital world, the quick switch to a new page or clicking a skip button makes marketing messages a blind spot even more. 

The Consumer Decision Journey is changing

In an interesting article, Jack Loechner, Editor of Centre of Media research, writes "Marketing has always sought those moments, or touch points, when consumers are open to influence....Marketers have learned to “push” marketing toward consumers at each stage of the funnel process to influence their behavior. But the qualitative and quantitative research in the automobile, skin care, insurance, consumer electronics, and mobile-telecom industries shows that something quite different now occurs..."  Information Monopolies  & marketers need to learn and adapt to this new paradigm.

Publishers need to look at themselves thro' a new lens

More recently, a leading Privacy advocate Alexander Hanff  led a revolt against publishers which caught the attention of European regulators. And he outlines possible ways in which publishers, of course with the support of marketers, how they need to change their approach.

Information monopolies should work closely with marketers and build a transparent dialog platform to engage with these new informed, empowered customers in the digital economy. They need to move away from "message  & influence" mindset to a "inform & dialog" mindset. It requires not a "Talk down" approach but a "Listen-up" approach.