This document summarizes upcoming Data Culture events being held by Microsoft around the UK in 2015. It discusses how 50% of organizations will consider cloud deployment and 50% of new spending will be on data discovery and analytics. The document also outlines Microsoft's data platform and tools like Power BI, Azure ML, Hadoop, and more that support a data culture. Panel discussions at the events will focus on how organizations are using data to drive their business and adopt predictive analytics.

1. DATA CULTURESERIES – 24th Feb 2015

2. ?Who is using Data to drive the future of their business?

3. ?Who is using Predictive Analytics / Machine Learning yet?

4. UK Business Lead for BI & Advanced
Analytics
4
Jon Woodward : Connect & Follow
4
@JLWoodward
www.linkedin.com/in/jonathanwoodward
#DataCulture
PowerBI
APS
AzureML
Hadoop
DataFactory
DocumentDB
Search
EventHub
Stream Analytics

5. Industry transformation driving opportunities

6. 2014…We have reached a Tipping Point
Of organizations will
consider cloud
deployment
50%
Of new licence spend will
be for Data Discovery &
Analytics
50%
Of BI & Analytics spend
will be driven by the
Business
50%
Of Users will be touched
by BI and Analytics
50%

7. Core to Vision
Start Justin
Digital
Work & Life
Experiences

8. Data…Driving the Experience

9. UK Economy - data dividend

10. The Microsoft
data platform
MobileReports
Natural
language queryDashboardsApplications
StreamingRelational
Internal &
externalNon-relational NoSQL
Orchestration
Machine
learningModeling
Information
management
Complex event
processing

12. Data Culture Series
Data Culture Exec
Session
Data Culture
Summit
Data Culture
Un-Conference
4 events; 60 customers
CXO Level
10 events; 800-1000 customers
Power User, Analyst, Architect, Developer, DBA
Data Scientist
4 events; 200 customers
Power User, Analyst
Data Culture
Deep-Dive
2 events; 100 customers (April, May)
Power User, Analyst
NEW
NEW

13. Data Culture Summit

15. Date Location
24 February LEEDS Data Culture series
24 March EDINBURGH Data Culture series
8 April BIRMINGHAM Data Culture series
12 May READING Data Culture series
19 May LONDON Data Culture series
More dates to come shortly

16. #DataCulture
Interact & Post questions for the Panel

17. Time
10.15 – 10.30 Intro – Jon Woodward
10:30 – 11:30 Keynote
Ric Howe – Data Culture
Jen Stirrup – Network Effect
11:30 – 12:30 Immersion Tracks - Overview
12:30 – 13:15 Lunch & Expo
13:15 – 15:00 Immersion Hands on
15:00 - 15:15 Break & Expo
15:15 - 16:30 Immersion Hands on
16:30 – 17:00 Panel and Close
Microsoft, HP, HortonWorks, KPMG,
DataRelish

21. Networks in a Data Culture
Leeds, February 2015

24. S-Curve

33. How do we change?
• Organisations are critically important as organizers, not as employers.
Often the most productive and profitable way to organize is to
disintegrate and partner.
• Peter F. Drucker

34. Forget the Internet of Things…
Network of Things
Hinssen(2014)

35. The Knowledge Worker

36. The Knowledge(able) (Net)Worker

37. Not Chaos, but the Edge of Chaos
• Adaptive Systems grow at the edge of chaos, going from disorder to
order
• Let Innovation Thrive
• Rediscover your Network of Networks

38. The Age of Data Culture

45. people
analytics
data

46. data culture
for everyone
Organization
Department
Individual
People
IT
Developers

48. 40ZB (1ZB = 1,000,000,000,000,000,000,000 bytes = 1 sextillion bytes = 1 billion terabytes)
the size of digital universe by 2020, of which 90% will be unstructured data
The flood gates are open

50. 50
Data sourcesNon-Relational Data

51. 
Data sources Non-Relational Data

52. ETL vs ELT
Extract
Transform
Staging DW
DM
Load Extract
Transform
Load DM
DM
Batch Ingest (Extract & Load)
Scale Out Storage & Compute
Stream Ingestion
DM
Event Hub
Transform

53. Ubiquitous computing

54. Internet
of
things

55. Data exhausts

56. Ambient intelligence

57. platform for
ambient
intelligence

60. [ ]

61. speed[

62. speed[

63. speed[
speed[

64. data speed[

65. speed[

66. speed[

67. speed[
speed[

68. speed[

69. Data Science is far too complex today
 Software Development
 Data Exploration
 Math & Statistics Knowledge
 Machine Learning
 Data Management
this must get simpler,
it simply won’t scale!

71. travel expenses

72. data culture
for everyone

74. Big Data PLAZA 4 – FL 3
Data Science PLAZA 2 – FL 3
Business Intelligence PARK 4 – FL 2
Data Insights PARK 3 – FL 2
Azure Data Services PLAZA 3 – FL 3
IoT PLAZA 6 – FL 3
Data Platform Modernisation PLAZA 5 – FL 3

75. Ian Campbell HP
Ric Howe Microsoft - Data Platform - UK
Simon Gregory HortonWorks
Gary Richardson KPMG
Jen Stirrup Data Relish

76. Free Download of Dave
Coplin – Rise of the
Humans
76
Ask a Question

77. #DataCulture
Ric
Q : Given the cloud first strategy, are MSFT
driving all new features only to the cloud

78. #DataCulture
Ian
Q : What advice would you give to
customers considering implementing a big
data strategy?

79. #DataCulture
Gary
Q : Does Data Science really require Data
Scientists

80. #DataCulture
Simon
Q : if Hadoop is the answer to Big Data, what
is the question

81. #DataCulture
Jen
Q : Given the Networks discussion this
morning, what is the best way to empower
people to drive a data culture

82. Trial : Hadoop (HDInsight, HDP)
82
Get Hands on…
Trial : SQL Server 2014
Trial : PowerBI
Trial : Machine Learning

83. PASS BA* – Santa Clara , April 20-22nd
SQL Saturday – Edinburgh , June 12-13th
SQL Saturday - Exeter, April 25th
SQL Bits 2015, London, March 4-7
http://us4.campaign-archive2.com/?u=3e64686fd47743f72cf7ae22a&id=a4ea0a57d4&e=b53d713419
83
Industry-Community Events
83
* See Jen Stirrup for Discount
Gartner BI Summit, London, March 9-10
http://www.gartner.com/technology/summits/emea/business-intelligence/
PASS Summit*- TBC , October 27-30th

85. Come Back for more…
Date Location
16 September READING
10 November LONDON
27 November READING
3 December LONDON
27 January LONDON
24 February LEEDS
24 March EDINBURGH
8 April BIRMINGHAM
12 May READING
19 May LONDON

86. UK Business Lead for BI & Advanced
Analytics
86
Jon Woodward : Connect & Follow
86
@JLWoodward
www.linkedin.com/in/jonathanwoodward
#DataCulture
PowerBI
APS
AzureML
Hadoop
DataFactory
DocumentDB
Search
EventHub
Stream Analytics

87. THANK YOU
?