Analytics Community. Analytics & The Internet Of Things. Bill Franks, Chief Analytics Officer, Teradata. We will be starting at the top of the hour.

Transcription

1 Analytics Community Analytics & The Internet Of Things Bill Franks, Chief Analytics Officer, Teradata We will be starting at the top of the hour Teradata & Bill Franks You will not hear anything until we start.

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4 Fundamentally Transform Your Value Proposition One company aims to transform from a commodity widget manufacturer to a value-added data & analytics player Image source: Microsoft Clipart Image source: Microsoft Clipart Teradata & Bill Franks

5 Replacing Manual Efforts A single nurse can only check on so many patients manually in a set period of time Image source: Microsoft Clipart Image source: Medill DC on Flickr Image source: Intel Free Press on Flickr but the same nurse can monitor many patients at once if sensors are checking the patients instead Teradata & Bill Franks

6 Keeping Us Healthy Over the next few years, operational analytics against Internet of Things data will help to enable a new era of healthcare Image source: Microsoft Clipart Image source: Microsoft Clipart Teradata & Bill Franks

7 Optimizing Crop Yield Customizing application plans through analytics is a win for the customer, the environment, and the vendors Image source: Pixabay Image source: Pixabay Teradata & Bill Franks

8 Don t Underestimate The Power Of Drones While most people focus on how drones can invade privacy, they actually can contribute to many compelling analytics Fields & Forests Image source: Pixabay Sports Movement Image source: Pixabay Wildlife Image source: Pixabay Teradata & Bill Franks

9 Intertwining Traditional & Analytics-Based Products By creating a central app that collects data from all products with embedded sensors, it is possible to cement loyalty Image source: Pixabay Image source: Pixabay Teradata & Bill Franks Image source: Pixabay

10 Optimizing Power Generation & Usage For large organizations, even 1 or 2 percent increases in efficiency can translate into many millions of dollars Image source: Microsoft Clipart Image source: GE Image source: GE Teradata & Bill Franks

11 The Internet Of Things Is Here! The Internet Of Things will drive massive amounts that may outpace all other sources of big data combined Teradata & Bill Franks

12 The Internet Of Things No single sensor poses a data volume issue It is the totality of all sensors that poses the challenge Image Source: Microsoft Clipart Image Source: Eugenia on Flickr Teradata & Bill Franks

13 Assess The Future Growth Of Your IOT Data & Analytics Be sure to assess whether or not your problem will grow at a predictable, linear rate or an unpredictable, exponential rate OR Teradata & Bill Franks

14 Industry Standards For IoT Data Are Essential Some standards can be localized, but others must be global Local standard ok Image source: epsos.de on Flickr Global standard is necessary Image source: Microsoft Clipart Teradata & Bill Franks

15 Governing The Internet Of Things The vast majority of the unimaginable volume of data that the Internet Of Things will create is almost completely useless No more of me is needed! I am past my date. Buy more! All we care about is the current list of what we need to buy. The conversations we have to create the list don t matter. Images Source: Microsoft Clipart Teradata & Bill Franks

16 Data Retention Is No Longer A Binary Choice IoT data can matter Image source: Microsoft Clipart not at all for a short time for a long time Teradata & Bill Franks

17 Reporting Versus Coordinating There is a continuum of how Internet of Things data will be generated, reported back, analyzed, and acted upon Things may act in different ways: Only report data back Analyze their own data and act Coordinate with other things to act Serve multiple roles Image source: Pixabay Teradata & Bill Franks

18 Reduce Data By Transmitting Only Changes There is no point in sending 10,000 readings with the same value Instead, just transmit when a reading changes or when it crosses a change threshold Teradata & Bill Franks

19 Push Processing To Your Things Distribute analytics to the source when possible Image source: Teradata Image source: Microsoft Clipart Centralized Analysis Image source: Teradata Image source: Microsoft Clipart Distributed Analysis Teradata & Bill Franks

20 Hacked By The Internet Of Things! Security is a major brewing issue for the IOT Image source: Microsoft Clipart Image source: Microsoft Clipart Image source: Microsoft Clipart Image source: Microsoft Clipart Teradata & Bill Franks Image source: Shodan

21 How Do We Secure The Internet Of Things? For all the focus put on updating and scanning computers for intrusions, less is done for mobile devices and nothing for IOT items Closing your front door doesn t do much good if you ve left a digital door wide open for anyone to walk through! Teradata & Bill Franks

22 Build Common Layers For Re-Use Not one-off point solutions that cause repetitive work Many IoT analytics can leverage the same architectures even if the specific data and applications differ Images source: Teradata Teradata & Bill Franks

23 Too Many Point Solutions Will Be Stifling A point solution for a given problem sounds great until you end up with 100 s of them and it is unmanageable! Image source: Microsoft Clipart Some level of coordination and consolidation of information will be necessary Teradata & Bill Franks

24 Analyzing Both The Trees AND The Forest! Don t just analyze points in a chain, also analyze the data from all points jointly for an additional layer of insight Image source: Pixabay Image source: Pixabay Teradata & Bill Franks

25 Build Layers Of Systems Based On The Internet Of Things Analytics from individual sensors feed into increasingly broader and more complex analytics at different levels Smart Grid Smart Heating System Humidity Sensors Temperature Sensors Smart Home Heating System Lighting System Media System Smart Homes Smart Infrastructure Smart Buildings Teradata & Bill Franks

26 Build Layers Of Systems Based On The Internet Of Things Analytics from individual sensors feed into increasingly broader and more complex analytics at different levels Centralized Traffic Management Braking System Speed Sensors Object Sensors Braking Controls Self Driving Car Braking System Steering System Navigation System Car Tracking Traffic Monitoring Traffic Control Teradata & Bill Franks

27 The Auto Industry Is Transforming In Many Ways from self driving cars, to direct consumer relationships, to sophisticated analysis of operating conditions Old Model: One way flow, limited interaction Manufacturer Dealer Customer New Model: Multi-directional flow, Robust interaction Manufacturer Dealer Teradata & Bill Franks Customer

28 Many Operational Analytics Are Simple Today but they will get more complex as time passes Automatic braking is easy Staying in a lane is hard Image source: Saad Faruque on Flickr Image source: Ford Motor Company Teradata & Bill Franks

29 Improving Our Lives By Freeing Our Time Children today WILL learn how to drive They may NOT HAVE to drive by the time they are 30 They will probably NOT BE ALLOWED to drive at my age! People don t have to be aware of what s going on under the hood... They can just enjoy the ride!! Image source: State Farm on Flickr Teradata & Bill Franks

30 If You Have Further Questions Or Comments Teradata & Bill Franks

31 The DMA Analytics Community thanks you for attending and invites your feedback and active participation! Next Webinar: Align Your Team s Marketing with the Customer Journey Wednesday, December 9 1:00-2:00 PM EST Register HERE Teradata & Bill Franks