A presentation from Gary Zimmerman of Neustar outlining the need for Communications Service Providers to leverage their information assets to improve their business.
This trip is an experiment for me. I usually travel with a laptop for most of my connected activity. On my way to Dallas, I used this (show iPad) to do a number of things ....Listened to musicLooked up directions to the event and where to dinner last nightSent a couple of iMessages Read lean startup by Eric RiesRead and responded to emailWorked on this presentationTried to stream a movie, but the airport wifi was too crowded to let that happen And I had to use my smartphone to make a few calls because it's a tablet, not a phablet. But I'll be skyping soon.All of that data went through one or more CSP networks.
Interactions define customer behaviorAlways connected generationMajority of interactions happen onlineMobile - 326 million, 152 million smartphonesTablets - 22 millionBroadband connections - 82 millionDriving 74 billion MMS2190 billion SMS2300 billion minutes of use5753 billion megabits, 1468 million mobileVideo single largest driverAll of that data went through one or more CSP networks. CSPs have been handling big data for yearsTraditionally focused on monetization instead of analyticsToday I want to invite you to think about that data in a different way
Now the Ott players are moving into traditional telco revenue streams. This will be accelerated as volte and web-rtc are deployed.
What do I mean when I say ‘Big Data’?
Convert those data streams into Information Assets to Help Drive BusinessHistorical Usage - capture behavior patterns to help understand how, when, and where the customers are using your servicesReal time data - add the immediacy of location, presence, and preferences to deliver an even finer view of current optionsPowerful view of the customer as they generate and consume content. Then anonymize, aggregate, and link the data to third party data to get a broader view of the customer. Demographics - a fuller view of like-minded groups of households based on demographic and propensity to buy
Charlotte Patric of Gartner wrote a market insight paper titled Calculating the value of CSP customer data. Initial she outlined 45 different ways to use data to improve the business. With these implemented, the average CSP could improve financials by 3%. Here are some areas where applying data can be most profitable. Campaigns - next best offer and minutes top offCustomer service - personalized attention, optimized support, self service. Product management - develop better offers, drive higher adoption ratesRetention - look for historical patterns to predict propensity to churn, loyalty programsNetworks - reduce capex high volume destinations and contentMarketing - identify high value or high maintenance customers and manage experiences accordingly.
Three core segmentsCommon language to describe customer segments
Notice groups. One group G9 is on our innovate side, could mean more businessThree of our core customers would be interested. Good upswell opportunity.
Implies where to spend media and advertising dollars
Implies where offering streaming video had network impacts
Implies where door to door or direct mail could be effective
Where to place print and online ads. Commercials.
Anthony jay British writer and director When you're working your big data, make sure you are asking the right questions.
Getting closer to your customers is a no brainer.But how do you take the vast amounts of data you have on customer behavior and leverage it into something of value? How can you detect patterns that help you find your best customers? Better still, how can you find more that are just like them?That’s where Neustar can help.