Primary Research in the World of Unstructured Data Analytics

Primary Research in the World of Unstructured Data Analytics

I get a bit uncomfortable when people oversell unstructured data analytics as a panacea for all customer insight ills. Don't get me wrong - I love the discipline and have spent great part of life advocating it. I still advocate it but what irks me is the thought being propagated that it is an alternative (probably cheaper) to some know your customer initiatives.

As a company in operation you should already have a fair "idea" about who your customers are and what they want, especially employees in your front offices dealing with the daily customer. If you do not have that, no amount of analytics can help because that analytics is as good as the base hypothesis and underlying model. (Though there is some merit in automated "discovery") The best way of knowing your customer is to serve her yourself; discuss openly across the table. First rule of customer centricity should also be to put yourself into customer's shoes. A well designed primary research program is a goldmine of specific actionable insights that you would not get elsewhere. Additionally, you can pick up subtle body language cues that are difficult to get otherwise. Sometimes customers say something in a survey while end up doing another thing. (even primary research has hypothesis, analysis models and mental models just like automated analytics)

Where does unstructured analytics fit in? (I include all kinds of social media as well as texts from internal call center etc. here). It was a happy world before social media kicked in giving voice, clout and control to end customers. Now there is too much data that cannot be humanly analyzed. You need automation, models to make sense out of it and probably make it actionable. This output should be used to either augment or correct an already developed understanding of customer and to quickly fix issues. It can also be used to validate the hypothesis or shifts in consumer behavior but in no uncertain terms can this be used as a sole source of customer insight and truth. It helps, supports, enriches, disproves, dissolves but never should create or initiate an insight. That task is better left to primary research.

Can primary research be done online (yes e.g. surveymonkey) and is the above true for all situations and all industries. I am not too sure if above thoughts completely apply to pure digital only businesses but they do apply to traditional ones.

Sunil Seth

Strategy Executive Leader| Keynote Speaker| Angel Investor & Mentor

9 年

Thanks Marshall. Also as Rajbir pointed out, I would love to see a consolidated dashboard that gives me all insights from across research options and channels. Everything in one place

回复
Marshall Toplansky

The Innovation Professor at Chapman University’s Argyros College of Business and Economics. Feudal Future Podcast Co-Host

9 年

Sunil, you make a great point. Researchers (including me) have fostered a polarizing debate between unstructured data analysis and primary research (both qual and quant). In reality, the best insights come from a combination of both approaches.

回复
Dr. Rajbir Singh

Business Strategy, Customer Centricity & Innovation Strategy. Globally Awarded Innovator. Start-up Mentor. Investor. Executive Coach. Board Member.

9 年

Interesting post Sunil. Cross channel analytics is the way to go. Any analytics in isolation of real customer insights runs the risk of being data centric rather than customer centric. Real time analytics is a good application of social media feed.

要查看或添加评论,请登录

Sunil Seth的更多文章

  • Evolving As a Leader in Virtual Worlds

    Evolving As a Leader in Virtual Worlds

    We often talk about a digital future and how technology will take the world to the next level. While the technology has…

  • 8 Forces of Digital Disruption

    8 Forces of Digital Disruption

    There are a few unique forces that come into play which differentiate digital disruption from other "Industrial…

    1 条评论
  • India's Internet of Things Draft Policy 2015 - A Critique

    India's Internet of Things Draft Policy 2015 - A Critique

    First, the draft policy is really a vision and roadmap document rather than a precursor to policy. The core draft team…

    1 条评论
  • Customer Experience > ∑ User Experience

    Customer Experience > ∑ User Experience

    Customer Experience is much more than summation of all User Experiences across touchpoints Background To quote…

  • The Strategy Vector

    The Strategy Vector

    If you think you can separate your digital and business strategy, then you are probably a bit behind the curve! The…

  • Protect your Analytics Intellectual Property

    Protect your Analytics Intellectual Property

    Clearly analytics algorithms are big money as proven by a report today - acquisition of BuyingIQ by CarDekho in India -…

    2 条评论
  • You Were Customer Centric When You Were Hungry!

    You Were Customer Centric When You Were Hungry!

    If you have been with the company from start up days to when it became a venture capitalists' darling: quickly growing…

    1 条评论
  • Digital Transformation Success - Five Essentials

    Digital Transformation Success - Five Essentials

    Either you are keen to hop onto digital bandwagon or want to squeeze maximum bang from your digital buck, below are…

  • Why Social Media Initiatives Fail?

    Why Social Media Initiatives Fail?

    If I look around the web, there have been quite a few failures "managing" social channels. Most of these failures are…

  • Why Feasibility is Not Properly Studied for CRM & Large IT Projects?

    Why Feasibility is Not Properly Studied for CRM & Large IT Projects?

    There are many reasons for missing feasibility study in large scale IT and CRM projects e.g.

    2 条评论

社区洞察

其他会员也浏览了