The Next Big Thing in the Internet of Things: Real-Time Big Data Analytics"

Transcription

1 The Next Big Thing in the Internet of Things: Real-Time Big Data Analytics" #IoTAnalytics" Mike Gualtieri Principal Analyst Forrester Research " " "" " " " " Dale Skeen CTO & Co-Founder Vitria Technology " " "" " " " " "

2 Base: : Forrsights BI/Big Data Survey, Q3 2012: 634 Business Intelligence users and planners Base: : Forrsights BI/Big Data Survey, Q2 2014: 452 Tech decision makers Momentum is strongest for streaming and predictive analytics, but underadopted. What is your firm's/business unit's current use of the following technologies? Reporting Dashboard Web Analytics Performance analytics Embedded Analytics Olap Process Analytics Location Analytics Search/Interactive Discovery Predictive Analytics Metadata Generated Analytics Text Analytics Advanced Visualization Streaming Analytics Non Modeled Data Exploration And 57% 58% 59% 56% 54% 50% 50% 49% 35% 37% 42% 33% 33% 29% 19% 24% 32% 21% 27% +52% 21% 20% 18% 20% 16% 21% 13% +62% 15% 10% 77% 81%

3 #IoT

4 Applications are blind use sensors to make them see.

5 If you can measure it and it s connected to the Internet, then you can use it 2014 Forrester Research, Inc. Reproduction Prohibited 5

6 Ubiquitous computing Pervasive computing Ambient intelligence Cognitive computing Connected world Everyware Physical computing Smart world Context-aware pervasive systems Machine-to-machine Thingternet Sensor revolution Industrial Internet Internet of everything 2014 Forrester Research, Inc. Reproduction Prohibited 6

7 #BigData

8 Trend Big Data means all your enterprise data + IoT data

9 Most technology decision makers get it; 30% of business decision makers are confused. 35% 34% 30% 30% 21% 9% 7% 8% 14% 12% The term big data is very confusing; not sure what it means It s a bunch of hype with little substance and few new ideas It s about new technologies that allow us to handle more data It s an extension of It s a whole new way existing analytics and of thinking about the BI practices suited value in data that for data that is larger requires new or faster than we are analytics and used to leverages some new technologies Business Decision Makers Technology Decision Makers Base: 452 North American technology decision-makers Base: 249 North American business decision-makers 2014 Respondents Forrester answering Research, don t Inc. know Reproduction are not shown Prohibited Respondents answering don t know are not shown 9 Source: Global Data and Analytics Survey, 2014 Source: Global Data and Analytics Survey, 2014

10 Customer data Historical Transactions Ops

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12 Data Gather all your data to breakdown silos and prepare it for deeper analysis.

13 Process Now, analyze the heck out of it - every which way.

14 #TooLate

15 Trend IoT data is flowing by, and value is slipping away.

16 Big data isn t just a story about lakes anymore...

17 ... it s about streams and raging torrents of information.

18 Analyzing data as streams and lakes Lakes Streams Ingested and stored in a data warehouse Multiple sources of data Analytics run weekly, daily, or hourly Insights used to modify future actions Does collect data in realtime Multiple sources of data Immediately fed to streaming application Analytics run continuously, second and subsecond responses Insights used to proactively adjust immediate and future actions 2014 Forrester Research, Inc. Reproduction Prohibited 18

19 #Streaming

20 Trend Streaming data is flowing by, and value is slipping away.

21 FORRESTER Software that can filter, aggregate, enrich, and analyze a high throughput of data from disparate live data sources to visualize business in real time, detect urgent situations, and automate immediate actions. DEFINITION

22 Successful streaming analytics programs bring disparate data sources together.

23 The constructs of streaming applications are different from conventional applications Filtering Aggregation/correlation Familiar Enrichment Location/motion Time windows Temporal patterns Unfamiliar 2014 Forrester Research, Inc. Reproduction Prohibited 23

24 And, so is the application architecture Traditional App Stream 1 Push notifications API calls/responses Stream 2 Streaming Analytics Application Platform HTML5 APIs Dashboards/ visualizations Stream 3 alerts Backend Database Data Warehouse Historical Analytics 2014 Forrester Research, Inc. Reproduction Prohibited 24

25 Good news! Enterprise platforms have great tools. Source: Screenshot of Vitria OI from demo 2014 Forrester Research, Inc. Reproduction Prohibited 25

26 Streaming analytics platforms enable a whole new class of applications Detect, adapt, and act applications require highperformance data access on the front-end and the backend. Provide visual development tools to create streaming applications Reduce development time by simplifying the architectural concerns of performance, scalability, and availability Forrester Research, Inc. Reproduction Prohibited 26

27 #StreamingApps

28 Streaming analytics can uniquely enable three new tiers of app functionality Source: April 22, 2014, Use Sensors To Take Apps To The Next Level Of Customer Engagement Forrester report 2014 Forrester Research, Inc. Reproduction Prohibited 28

29 What if you knew your customer was near your store on a sunny day? Stop

30 NFL Sensors in every players shoulder pads will change the way we analyze and watch the game 2014 Forrester Research, Inc. Reproduction Prohibited 30

31 Activity How can Spotify use accelerometer data generated by customers while they listen?

32 #Opportunity

33 Trend The velocity of business requires streaming analytics.

34 #Imagination

35 What kinds of apps could you develop if could predict, detect and adapt to what is happening in your business in-themoment?

36 Thank you Mike Gualtieri