Don’t make the common mistake of thinking that in-memory computing is simply about slapping more chips in a box to make apps run faster. In-memory computing is a fundamentally new approach to application design, development, and deployment – if done right. It enables virtually latency-free applications, can reduce development time by simplifying architectural concerns, and most importantly, allows you to create a whole new class of adaptive apps that anticipate and adapt to the needs of each user to deliver more relevant and profitable functionality. This is revolution, not evolution. In this keynote, Forrester Principal Analyst Mike Gualtieri will discuss the business, technology, and market trends that pushed in-memory from a nice-to-have to a must-have application development platform.

1. The Velocity Of Business Requires
In-Memory Computing
Mike Gualtieri, Principal Analyst
June 29, 2015 San Francisco
Twitter: @mgualtieri

2. Planning, implementing, or expanding the use of
in-memory data platform.
73%
Base: 1,805 global data and analytics decision-makers
Source: Forrester Global Business Technographics Data And Analytics Online Survey, 2015

3. #Priority

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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 is a top business priority
over the next 12 months
› Base: 3,005 global data and analytics decision-makers
› Source: Global Business Technographics Data And Analytics Online Survey, 2015

5. For you For all For segments For you
CRM
Hyper-Personal,
Real-Time Digital
Experiences
Personal
Relationships
Mass
Production
CustomerExperience
1800 1900 1950 2000 2015

6. #Celebrity

7. Customers want and increasingly expect
to be treated like celebrities.

8. • Use analytics to learn
customer characteristics
and behavior
• Detect real-time context
• Adapt applications to serve
an individual customer
Celebrity experiences must:

9. How can Spotify use location and accelerometer
data generated by customers’ while they listen?

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Building celebrity experiences requires a real-
time architecture.

11. #In-Memory

12. Ubiquitous, near-zero latency for even the most
complex data and compute operations.

13. DEFINITION
FORRESTERTechnologies that are principally architected to
use chip-based memory to accelerate the
performance of data access and applications;
and reduce the complexity of app development.

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Why not just pop your data in-memory?

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S S S
B B B
D G GG DDD
Streaming
Analytics
General-purpose data
processing cluster
Scale-up
Database
Data And
Compute Grid
Clustered
Database

16. #FastData

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All data starts out fast, but is often only used
after it becomes big data at-rest
› Rich transactional data from portfolio of dozens or
hundreds of business applications
› Usage and behavior data from web and mobile apps
› Social media data
› Sensor and event data from IoT devices
› Data economy – firms buying and selling data

18. Performance should not limit design decisions.

19. Scale should not limit design decisions.

20. 110010011011001
010010011
010011001101
0100
Historical
Transactions
Customerdata
Security
The performance vagaries of accessing data
silos can be eliminated.

21. Fault-tolerance is non-negotiable.

22. Confidential information must be secure.

23. In-memory must fit and work seamlessly with
existing architectures.

24. In-Memory technology speeds application
development by reducing architectural concerns.

25. #FastAnalytics

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Three kinds of analytics are essential to create
predictive apps
Past Present Future
Learn Contextualize Anticipate
Predictive
Analytics
Real-time
Analytics
Historical
Analytics
(Traditional Analytics) (Advanced Analytics)

27. #FastPrediction

28. Relationships
Finances
Devices
Attributes
History
Predict
characteristics,
behaviors, likes,
and needs.
Customer

29. Behavior
Channel
Weather Location
Time Use in-the-moment
context to predict
next-best-action.
Customer

30. #Sensors

31. Apps are blind – use sensors to make them
see.

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If you can measure it, then you can use
it.

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Sensor taxonomy

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Local or remote

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Fantasy becomes reality at Universal’s Wizarding
World with RFID sensor packed wands.

36. #Location

37. Location means latitude, longitude, and altitude.

38. Velocity represents speed and direction.

39. Orientation is the position relative to normal.

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Location can have more value when augmented
with both real-time and referential contextual
information.
Referential Context
(examples)
› Address
› Business name
› Event
› Road
› Sale
› Weather forecast
Real-time Context
(examples)
› Time
› Relative humidity
› Heart rate
› Pressure
› Sound level
› Brightness

41. What if you knew your customers were “show-
rooming” when they walked through your store?

42. #FastApps

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Design apps that are always aware.
Source: Forrester report “Predictive Apps Are The Next Big Thing In Customer Engagement”

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You must use in-memory platforms to detect,
predict, and act in real-time.
Source: Forrester report “Predictive Apps Are The Next Big Thing In Customer Engagement”

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In-memory technology is the industrial-strength,
real-time glue that makes it all work together.

46. #Priority

47. 73%

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S S S
B B B
D G GG DDD
Streaming
Analytics
General-purpose data
processing cluster
Scale-up
Database
Data And
Compute Grid
Clustered
Database

49. #Opportunity

50. What is you had
ubiquitous, near-zero
latency for even the most
complex data and
compute operations?

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What if you had ubiquitous, near-zero
latency for even the most complex data
and compute operations?
1. Walk through critical or challenging business processes
- At each step of the business process ask how in-memory could
improve the process
2. Walk through customer journey to improve digital
experience design
- At each step of the customer journey, ask how in-memory
could help create a dazzling, new customer experience.

52. forrester.com
Thank you
Mike Gualtieri
mgualtieri@forrester.com
Twitter: @mgualtieri