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TWEET: during and after the webinar, please use #StreamingAnalytics for live discussions
DIRECT QUESTIONS: please use the ...
Perishable Insights – Stop Wasting Money
On Unactionable Insights
Mike Gualtieri, Principal Analyst
Twitter: @mgualtieri
#Priority
© 2015 Forrester Research, Inc. Reproduction Prohibited 4
52%
53%
53%
54%
58%
64%
64%
65%
66%
73%
75%
0% 10% 20% 30% 40% 5...
For you For all For segments For you
Demographic
Relationships
Hyper-Personal,
Real-Time
Relationships
Personal
Relationsh...
Customers want and increasingly expect
to be treated like celebrities.
• Learn individual customer
characteristics and
behaviors
• Detect customer needs and
desires in real-time
• Adapt applica...
#IoT
© 2015 Forrester Research, Inc. Reproduction Prohibited 9
82% of enterprises are interested in IoT
• Learn individual device and
systems of devices
characteristics and
behaviors
• Detect context in real-time
• Adapt appli...
Devices have sensors and may have
controllers…
…but, IoT applications are not smart
without a brain.
#Data
Using your best estimate, what is the size of
all data stored within your company?
Source: Forrester Research, September 2...
Data is like a drop of rain
It forms instantaneously in a cloud
And travels far before it ripples
#Real-time
All data originates in real-time!
But, analytics to gain insights is usually
done much, much later.
22© 2016 Forrester Research, Inc. Reproduction Prohibited
“As you look to improve your data processing and analytics capab...
#WhyWait
Insights are perishable.
Real-time
insights
Operational
insights
Performance
insights
Strategic
insights
Insight: Shopping for
furniture
Action: Re...
Batch analytics operations take too long
BusinessValue
Time To Action
Data
originated
Analytics
performed
Insights
gleaned...
Compress analytics operations to maximize
the value of data
BusinessValue
Time To Action
PositiveNegative
Maximum
Business...
© 2015 Forrester Research, Inc. Reproduction Prohibited 28
Real-time means highly perishable
How can you know if you should you make an
offer or send a gentle nudge right now?
How can you warn other drivers that the
road is slippery to avoid a crash right now?
Is this customer thinking about moving to a
rival firm right now?
Real-time analytics is necessary to detect
and act on real-time perishable insights.
#Challenges
34© 2016 Forrester Research, Inc. Reproduction Prohibited
“What are the technological challenges impeding you from process...
The data lake approach is insufficient
because it takes too long
Customer
Reference
Data Lake
Operational
Transactional
An...
#Streaming
Streaming analytics can detect and act on
real-time perishable insights.
DEFINITION
FORRESTERStreaming analytics filter, aggregate, enrich,
and analyze a high throughput of data from
disparate li...
© 2015 Forrester Research, Inc. Reproduction Prohibited 39
Source: Forrester Research
Streaming analytics adoption is righ...
In-memory (RAM) can access data 58,000 times
faster than disk.
Modern applications infuse analytics to respond
in real-time and become smarter
Streaming data
Application
interface
App L...
How can you prevent this dude from fleecing
you right now?
What are movers and shakers saying about
equities that we cover right now?
How can you warn other drivers that the
road is slippery to avoid a crash right now?
How can you show an ad that this household
will find relevant right now?
© 2015 Forrester Research, Inc. Reproduction Prohibited 46
Thinking in streams is different…
› Ingest
› Filter
› Transform...
How can an online retailer
sell more motorcycle
helmets and optimize
profits?
› Temporal pattern detection
› Time windows
...
© 2015 Forrester Research, Inc. Reproduction Prohibited 48
Streaming analytics enables an entirely new real-
time selling ...
#Technology
Architecture
• Workload scalability
• Ingestion throughput
• Analytical throughput
• Analytical latency
• Fault tolerance
...
11001001101
1
0100100
1
010011001
1
010
1
Historical
Transactions
Customerdata
Security
Ability to ingest structured and u...
Scale to handle any volume & velocity of data.
Process and analyze in real-time.
Provide fault-tolerance for mission-critical
business and customer applications.
Provide tools that make it easy to manage
and monitor the platform.
Offer tools to visualize insights from real-time
data.
Development environment that leverages
existing skills such as SQL.
The Forrester Wave™: Big
Streaming Analytics
Platforms, Q1 2016
Source: Forrester Research
15 vendor solutions for fast
da...
#Opportunity
Enterprises must act on a range of perishable
insights to get value from big data
Real-time
Insights
Strategic
Insights
Op...
Use streaming analytics to create a whole
new class of real-time customer
experiences.
“An investment in
real-time knowledge
always pays the best
interest.”
- Benjamin Franklin
United States founding father,
i...
forrester.com
Mike Gualtieri
mgualtieri@forrester.com
Twitter: @mgualtieri
SQLstream: leading streaming analytics platform
-empowering people, services, and machines to take the next right action, ...
Cloud-
SQLstream powers Amazon Kinesis Analytics
StreamLab: development environment-
-from raw data to streaming apps in minutes
User selected
suggestion to execute
Immedi...
REAL-TIME FOR THE BOTTOM LINE WEBINAR SERIES
COMING UP | EPISODE 2: Streaming ingest
October 2016
inquiries@sqlstream.com
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester
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Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester

Business success relies heavily on taking the right action, at the right time, all the time. And actions are dictated by data. But the batch-oriented, collect-store-contemplate model employed by Big Data Analytics technologies is incomplete because it does not make use of live data in real time. Without live, real-time data insights gathered are not up-to-date, and cannot accurately inform applications and services that would benefit from continuous, real-time context for time-sensitive decisions.
To thrive, businesses need to be able to use both live and historical data in their applications and services, continuously, concurrently, and correctly and the only technology currently capable of handling it is streaming analytics. Streaming analytics computes data right now, when it can be analyzed and put to good use to make applications of all kinds contextual and smarter.

This webinar held in collaboration with Forrester, Inc., showcased how streaming analytics applications can be built in minutes, to:
- Aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any format to identify patterns, detect opportunities, automate actions, and dynamically adapt
- Easily ingest streaming data from multiple disparate sources to multiple sources, within and between cloud and on-premises environments
- Analyze and act on data as it arrives, without needing to store, eliminating unnecessary security risks and storage costs
- Enable real-time analytics with existing business intelligence and data assets.

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Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from Forrester

  1. 1. TWEET: during and after the webinar, please use #StreamingAnalytics for live discussions DIRECT QUESTIONS: please use the box to the right of your screen RECORDINGS: an edited version of the webinar recording will be emailed after the event Real time for the bottom line webinar series EPISODE I: How to stop wasting money on unactionable analytics
  2. 2. Perishable Insights – Stop Wasting Money On Unactionable Insights Mike Gualtieri, Principal Analyst Twitter: @mgualtieri
  3. 3. #Priority
  4. 4. © 2015 Forrester Research, Inc. Reproduction Prohibited 4 52% 53% 53% 54% 58% 64% 64% 65% 66% 73% 75% 0% 10% 20% 30% 40% 50% 60% 70% 80% Better leverage big data and analytics in business decision-making Create a comprehensive strategy for addressing digital technologies like mobile, social & smart products Create a comprehensive digital marketing strategy Better comply with regulations and requirements Improve differentiation in the market Increase influence and brand reach in the market Address rising customer expectations Improve our ability to innovate Reduce costs Improve our products /services Improve the experience of our customers Customer experience and product innovation are top priorities. › Base: 3,005 global data and analytics decision-makers › Source: Global Business Technographics Data And Analytics Online Survey, 2015
  5. 5. For you For all For segments For you Demographic Relationships Hyper-Personal, Real-Time Relationships Personal Relationships Mass Relationships CustomerExperience 1800 1900 1950 2000 2015
  6. 6. Customers want and increasingly expect to be treated like celebrities.
  7. 7. • Learn individual customer characteristics and behaviors • Detect customer needs and desires in real-time • Adapt applications to serve an individual customer Customer experiences must:
  8. 8. #IoT
  9. 9. © 2015 Forrester Research, Inc. Reproduction Prohibited 9 82% of enterprises are interested in IoT
  10. 10. • Learn individual device and systems of devices characteristics and behaviors • Detect context in real-time • Adapt applications to improve the applications IoT applications must:
  11. 11. Devices have sensors and may have controllers…
  12. 12. …but, IoT applications are not smart without a brain.
  13. 13. #Data
  14. 14. Using your best estimate, what is the size of all data stored within your company? Source: Forrester Research, September 2015 Base: 100 US Managers and above currently using Hadoop for processing and analyzing data. Enterprises have plenty of data from both internal and external sources 10-49 Terabytes 5% 50-99 Terabytes 12% 100-500 Terabytes 54% Greater than 500 Terabytes 29% Internal business data 49% External source data 51% What % of the data available is from internal business applications (ERP and business applications) versus external sources (social, IoT)?
  15. 15. Data is like a drop of rain
  16. 16. It forms instantaneously in a cloud
  17. 17. And travels far before it ripples
  18. 18. #Real-time
  19. 19. All data originates in real-time!
  20. 20. But, analytics to gain insights is usually done much, much later.
  21. 21. 22© 2016 Forrester Research, Inc. Reproduction Prohibited “As you look to improve your data processing and analytics capabilities, what aspect of the implementation is most important to your business? Please select one.” 11% 11% 12% 16% 24% 25% Quick turnaround on customer requests More data availability Expanded access to more business users (i.e., self-service) Low cost Advanced analytics capabilities (e.g. predictive. prescriptive, streaming) Faster performance (time to value) Faster time to value and advanced analytics is most important to business Base: 100 data science and data analytics leaders at enterprises within the US Source: A commissioned study conducted by Forrester Consulting, April 2016
  22. 22. #WhyWait
  23. 23. Insights are perishable.
  24. 24. Real-time insights Operational insights Performance insights Strategic insights Insight: Shopping for furniture Action: Recommend cleaning supplies Insight: Profit lower than goal Action: Optimize price Insight: Demand forecast strong Action: Increase inventory Insight: Furniture demand high Action: Expand product line TimetoAct Perishability Sub-second to seconds Seconds to hours Days to weeks Weeks to years Sub-second to seconds Seconds to hours Hours to weeks Weeks to years Enterprises must act on a range of perishable insights to get value from data and analytics
  25. 25. Batch analytics operations take too long BusinessValue Time To Action Data originated Analytics performed Insights gleaned Action taken Outdated insights Impotent or harmful actions PositiveNegative Decision made Poor decision
  26. 26. Compress analytics operations to maximize the value of data BusinessValue Time To Action PositiveNegative Maximum Business Value
  27. 27. © 2015 Forrester Research, Inc. Reproduction Prohibited 28 Real-time means highly perishable
  28. 28. How can you know if you should you make an offer or send a gentle nudge right now?
  29. 29. How can you warn other drivers that the road is slippery to avoid a crash right now?
  30. 30. Is this customer thinking about moving to a rival firm right now?
  31. 31. Real-time analytics is necessary to detect and act on real-time perishable insights.
  32. 32. #Challenges
  33. 33. 34© 2016 Forrester Research, Inc. Reproduction Prohibited “What are the technological challenges impeding you from processing and analyzing data more effectively? Select all that apply.” 6% 18% 18% 22% 27% 29% 35% 35% 37% We have no technical challenges Lack of analytical tools Lack of data management tools Difficulty in creating data models and/or preparing data for analytics Too many data formats to integrate effectively Data is difficult to access from multiple sources Difficulty integrating data from multiple sources Time it takes to assemble data for analysis Data volume is too large Top technological challenges Base: 100 data science and data analytics leaders at enterprises within the US Source: A commissioned study conducted by Forrester Consultin, April 2016
  34. 34. The data lake approach is insufficient because it takes too long Customer Reference Data Lake Operational Transactional Analytics tools Insights Data Scientists Business intelligence
  35. 35. #Streaming
  36. 36. Streaming analytics can detect and act on real-time perishable insights.
  37. 37. DEFINITION FORRESTERStreaming analytics filter, aggregate, enrich, and analyze a high throughput of data from disparate live data sources to identify patterns, detect urgent situations, and automate immediate actions in real-time.
  38. 38. © 2015 Forrester Research, Inc. Reproduction Prohibited 39 Source: Forrester Research Streaming analytics adoption is rightly surging “What is your firm's/business unit's current use of the following technologies?” Source: Forrester's Global Business Technographics Data And Analytics Survey, 2015 and 2014 Base: 1805 (2015), 1063 (2014) 19% 19% 24% 31% 34% 22% 22% 35% 31% 43% 53% 54% 50% 50% 69% 39% 42% 42% 42% 42% 43% 43% 46% 48% 52% 54% 55% 56% 57% 69% Non modeled data exploration and discovery Search/interactive discovery Streaming analytics Metadata generated analytics OLAP Advanced visualization Text analytics Location analytics Predictive analytics Process analytics Embedded analytics Web analytics Dashboards Performance analytics Reporting 2015 2014
  39. 39. In-memory (RAM) can access data 58,000 times faster than disk.
  40. 40. Modern applications infuse analytics to respond in real-time and become smarter Streaming data Application interface App Logic Applications Context Actions Real-time Context Programmed Logic Learned Logic Machine learning Learning External Actions External Context From other data sources of applications To other data sources or applications
  41. 41. How can you prevent this dude from fleecing you right now?
  42. 42. What are movers and shakers saying about equities that we cover right now?
  43. 43. How can you warn other drivers that the road is slippery to avoid a crash right now?
  44. 44. How can you show an ad that this household will find relevant right now?
  45. 45. © 2015 Forrester Research, Inc. Reproduction Prohibited 46 Thinking in streams is different… › Ingest › Filter › Transform › Normalize › Link › Enrich › Correlate › Location/motion (geofencing) › Time windows › Temporal pattern detection (CEP) › Business logic/rules execution › Action interfaces Continuous Ingestion Continuous Analytics
  46. 46. How can an online retailer sell more motorcycle helmets and optimize profits? › Temporal pattern detection › Time windows › Business logic/rules execution › Action interfaces
  47. 47. © 2015 Forrester Research, Inc. Reproduction Prohibited 48 Streaming analytics enables an entirely new real- time selling model › Analytic: When has this user viewed at least three motorcycle safety products including at least one helmet? › Action: Display most profitable motorcycle helmets. › Analytic: What is the real-time daily total sales of motorcycle helmets? › Action: If sales trending lower than usual, then dynamically lower price. Temporal Pattern Detection Time Window
  48. 48. #Technology
  49. 49. Architecture • Workload scalability • Ingestion throughput • Analytical throughput • Analytical latency • Fault tolerance • Operational management • Deployment options (cloud) Stream/event handling • Event sequencing • Enrichment • Business logic Analytical operators • Transformation • Aggregation • Correlation • Time windows • Pattern matching Applications dev. • Development tools • Data connectors • Extensibility • Dynamic deployment Evaluate streaming analytics technology based on these criteria
  50. 50. 11001001101 1 0100100 1 010011001 1 010 1 Historical Transactions Customerdata Security Ability to ingest structured and unstructured from multiple sources in real-time.
  51. 51. Scale to handle any volume & velocity of data.
  52. 52. Process and analyze in real-time.
  53. 53. Provide fault-tolerance for mission-critical business and customer applications.
  54. 54. Provide tools that make it easy to manage and monitor the platform.
  55. 55. Offer tools to visualize insights from real-time data.
  56. 56. Development environment that leverages existing skills such as SQL.
  57. 57. The Forrester Wave™: Big Streaming Analytics Platforms, Q1 2016 Source: Forrester Research 15 vendor solutions for fast data ingestion, analysis, and action. Mng: Let me know if you want this slide in here.
  58. 58. #Opportunity
  59. 59. Enterprises must act on a range of perishable insights to get value from big data Real-time Insights Strategic Insights Operational Insights Performance Insights TimetoAct Perishability Sub-second to seconds Seconds to hours Days to weeks Weeks to years Sub-second to seconds Seconds to hours Hours to weeks Weeks to years
  60. 60. Use streaming analytics to create a whole new class of real-time customer experiences.
  61. 61. “An investment in real-time knowledge always pays the best interest.” - Benjamin Franklin United States founding father, inventor, and timeless thought leader.
  62. 62. forrester.com Mike Gualtieri mgualtieri@forrester.com Twitter: @mgualtieri
  63. 63. SQLstream: leading streaming analytics platform -empowering people, services, and machines to take the next right action, continuously and in real time ANALYZE ACQUIRE ACT
  64. 64. Cloud- SQLstream powers Amazon Kinesis Analytics
  65. 65. StreamLab: development environment- -from raw data to streaming apps in minutes User selected suggestion to execute Immediately see the live data & results Build dashboards with queries running Auto generates useful analytic suggestions
  66. 66. REAL-TIME FOR THE BOTTOM LINE WEBINAR SERIES COMING UP | EPISODE 2: Streaming ingest October 2016 inquiries@sqlstream.com

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