Sachin Mahajan MobileLive & ex-TELUS
Its 2001, Apple is readying up to launch an iconic product & experience revolutionizing the portable music player industry. The product is named unconventionally, as the iPod. Steve Jobs has been intrinsically involved in the design, user experience and even the minutest detail such as the color of the iPod…..to this end they were conducting focus groups to better understand which iPod color might be the primary choice of shoppers, and hence to launch in. Over a period of 2 days and intense discussions later the focus groups came back with the unanimous decision on the color – “Yellow”. The product management team thanked the focus group members for having spent their time and as a gesture of their gratitude asked the participants to pick an iPod, of their choice, on the way out 80% of them chose white!
Data often tells a story which is contrary to what people say….some of the big data analytical tools give us the latitude of looking for patterns rather than making us all anthropologists trying to observe people’s behaviour and try to differentiate between what they say vs what they actually do. How many of you would have believed that with the launch of the white iPhone, the sales of white cars would have gone up in LA; I wouldn’t have. But apparently- women like to match their colors; again big data would have allowed us to make such predictions.
I stumbled upon the following graph from Gartner, indicating that IoT had recently nudged Big Data from the “Peak of Expectations” into the “trough of disillusionment”. Not sure I completely agree with the chart since one in six (15 %) consumers already use wearable tech today, such as smart watches and fitness bands, making me believe IoT doesn’t fit the mould of Gartner’s previous predictions- where largely <5% adoption existed well into the “Slope of Enlightenment”. Either way IoT & Big Data have arrived and if we marry the two together- we definitely have a winning proposition.
The value of IoT is definitely in increasing revenue, productivity, efficiency & lowering cost, but often companies forget the value of the data it generates. I see the culmination of big data and IoT fundamentally altering the value proposition to the end customers by providing insightful, relevant and actionable data to influence the decision making paradigm in real time, improve QoE and lastly unlock the hidden value of the same data in parallel verticals.
Let me elaborate, essentially IoT and Big Data are working together in 3 ways:
- Finding Big Data trends created by IoT Applications.
As millions and billions of things get connected to the web, there is going to be a tsunami of information generated over the next few years. From the dawn of time until 2004 – 5 exabytes of information was generated and captured. If you ask how much is that data- it essentially is books stacked from earth all the way to pluto and back 80 times over. In the course of the next decade 500x of data it was created and from 2015-17 it is forecasted to grow by 1500x. The biggest hurdle facing organizations considering IoT deployments will be knowing what to do with the massive amounts of information that is being gathered. One challenge which needs to be overcome is to design for analytics – executing a strategy that sees data more as a supply chain than a warehouse. Another is the ability to marry big data trends with in depth expertise in the vertical being explored. Analysts believe that organizations which can effectively overcome these two issues will financially outperform their competitors by 20-30%. That is incentive enough for most businesses and hence we see companies such as Mnubo & TIBCO’s and other IoT Analytics Platform companies’ IP becoming increasingly sort after.
2. IoT Applications and Big Data Complementing each other
An auto sharing company recently started allowing their members to drop the car off in any part of the town and through IoT solutions were able to locate it and in real time let potential customers know where to pick it up and open it using electronic keys. Using big data and predictive analysis they were able to optimize the fleet size and through IoT solutions were able to provide unique services and business models which completely flipped the traditional car rental market on its head. This is just the beginning.
The key to really unlocking these new business models and customer experiences is by managing and using IoT & big data in new ways. Another vertical where we see them come together is the retail sector. A 100 years back when someone walked into a store more often than not the shop keeper knew the customer, their choices, socio-economic status and based on it made recommendations. Fast forward to 2015 and it would be hard to find a service agent in a big box retailer to save your life; let alone talk to you abt a product. Here Big data and Iot is being used to recreate the experience from a 100 years back. Providing customers relevant, targeted and focussed recommendations based on their buying pattern of the last few trips and using IoT as the last mile. Its essentially the golden “2 second rule” i.e providing the customer the required information to help influence their decision making paradigm in the 2 seconds when they are making it. Beacons help track customers in the aisle and while they stand pondering on the type of noodles they need to buy- in real time based on inventory and promotions a recommendation could be pushed to the end customer’s phone. This is not a pipe dream of the future, some companies are making it a tangible reality in the UK today and have reportedly increased revenue by 30+%! Did someone say, it really was the art of the possible?
3.Running different algorithms on the same data set to create use cases for secondary IoT verticals
In a world where we possibly have north of 4BN sensors (and only 3.5BN toothbrushes), we are being spoilt by the richness of the data available across industries. Often, we find ourselves uncovering insights being driven by the data captured for an entirely different business need to begin with. A key example is the connected car. The connected car experience brings safety, security, diagnostic and infotainment applications to the end customer. Applications such as real time traffic information, streaming music, ability to watch a Netflix movie and so and so forth make the consumer’s commute a lot less taxing and more productive. As the next wave of growth comes through the connected car in the IoT space, companies are also finding different applications for the same data:
- Insurance companies are tapping into real time parameters such as average speed of vehicle, number of traffic violations, harsh braking, accidents and so and so forth. This information is then being used to price the insurance premium of the clientele.
- Cities are finding valuable insights by looking at congestion of traffic and health of the roads from the connected car. These data points are being used to reduce travel time through improved traffic congestion planning and more insights for emergency response teams
- Dealerships now have a better handle on the health of the car and are able to communicate more effectively on why the car needs to be serviced with the ability to provide certainty on cost, time and effort needed to rectify the issue.
Clearly, Big data and IoT are harnessing data and converting regular day to day interactions into transformative consumer experiences and that’s where the value for businesses lie.
2 thoughts on “The Awesome Twosome: IoT & Big Data”
Great Post! Really enjoying your blog.
In your second point about how IoT and Big Data are working together, you mentioned UK grocery stores, but I was wondering if you were familiar with what grocery stores in Canada are doing too? – Loblaws has been making a lot of strides in using Big Data and IoT to influence their customers buying decisions! It’s quite fascinating!!
They have a program called ‘PC Plus’ where customers can download a app to receive weekly offers, and personalized product recommendations based on their previous purchases/buying patterns. When a customer uses the offers, they earn points that can be redeemed for free groceries. This program has caused customers to visit Loblaw stores more often since they’re getting this added value.
In many ways, this is like the modern day ‘100 years ago shop keeper’, where they know you, your choices, socio-economic status, and make recommendations to you based on that knowledge – with this new customer experience, they’ve increased profits by 23 percent last year! (https://secure.globeadvisor.com/servlet/ArticleNews/story/gam/20141113/RBLOBLAWEARNSFINAL)
They’ve also recently released a wellness program as part of PC Plus to allow their members to track how healthy their purchases are, and compare themselves to their friends and family. They are creating a community similar to what Fitbit has created to influence to their customers to become healthier. (http://strategyonline.ca/2015/05/28/loblaw-reaches-for-the-stars/)
Great mix of big data, IoT, and gamification!