DATA CULTURE презентация
Содержание
- 2. Jon Woodward : Connect & Follow Jon Woodward : Connect &
- 4. Data Culture Summits – Sept/Dec/Mar/May Data Culture Summits – Sept/Dec/Mar/May
- 5. Data Culture
- 8. Previously…
- 9. The Problem of Productivity
- 10. Working Like Victorians
- 11. Out Now….
- 12. the Digital Deluge
- 13. Mobile Disruption
- 14. And Yet?
- 15. Work Harder, Not Smarter
- 16. Breaking the Digital Barrier
- 17. Unlocking The data Dividend
- 18. MAKING THE INVISIBLE VISIBLE
- 19. Taking the Systemic View
- 20. Here be Monsters…
- 21. Predicting The future
- 22. Technology’s Copernican Shift
- 23. Ambient Intelligence
- 24. Situational Interaction
- 25. Situational Interaction
- 26. The Rise of the machines
- 27. The Power of Machine Learning
- 28. Patterns and Deep Learning
- 29. Moving forward
- 30. Create A Data Culture
- 31. Guilt by (Algorithmic) Association?
- 32. A question of Trust
- 33. Look for Outcomes not process
- 34. Transformative Thinking
- 38. Remember, Computers are useless…
- 61. So this is what we planned to build 14 years of
- 71. Data Culture for Executives Jon Woodward – Business Lead –
- 72. Data Culture for Execs
- 73. Jon Woodward : Connect & Follow Jon Woodward : Connect &
- 74. Gary Richardson: Connect & Follow Gary Richardson: Connect & Follow
- 75. Introductions Introductions
- 76. Benefits of Data Culture Jon Woodward – Business Lead – BI
- 77. What differentiates today’s thriving organizations?
- 78. Industry transformation accelerating
- 79. Data…Driving the Experience
- 80. What do these companies have in common?
- 81. Entering a New Data World Order www.slideshare.net/jonathanwoodward1
- 82. Age of the Algorithm
- 83. Age of Things
- 84. Age of Things
- 85. Age of Intelligence
- 86. Age of Intelligence
- 87. New Data World Order
- 88. Be more Productive
- 89. UK Economy - Data Dividend Capture a £53Bn data dividend from
- 90. How will YOU differentiate YOUR organization?
- 91. The Future is Data Driven Gary Richardson – Director of Data
- 92. Data Culture : Disrupting with data Gary Richardson, UK Head of
- 94. Key concepts that are driving data innovation Key concepts that are
- 96. Leveraging new types of data Leveraging new types of data
- 97. Traditional Organisations = Legacy, change is needed Traditional Organisations = Legacy,
- 101. Where are the opportunities for you? Where are the opportunities for
- 105. Enabling Data Culture Jon Woodward – Business Lead – BI &
- 106. Driving a Data Culture
- 107. Driving a Data Culture
- 108. Driving a Data Culture
- 109. Driving a Data Culture
- 110. Driving a Data Culture
- 111. Driving a Data Culture
- 112. Driving a Data Culture
- 113. Driving a Data Culture
- 114. Driving a Data Culture
- 115. Driving a Data Culture
- 116. Driving a Data Culture
- 117. Driving a Data Culture
- 118. Driving a Data Culture
- 119. Driving a Data Culture
- 120. Driving a Data Culture
- 121. Driving a Data Culture
- 122. Driving a Data Culture
- 123. Driving a Data Culture
- 124. Driving a Data Culture
- 125. Driving a Data Culture
- 126. Driving a Data Culture
- 127. What has worked in driving a Data Culture?
- 128. What does the future look like ? What does the future
- 129. Where to Look to get started Where to Look to get
- 130. Example Example
- 131. Building a Data Science Capability Gary Richardson – Director of Data
- 132. Building the DS&E team to maximise the data dividend
- 133. Structuring the team for success
- 134. Organization Structure
- 135. Ways of Working
- 137. Next Actions Jon Woodward – Business Lead, BI & Analytics, MSFT
- 138. What Should we do Today What Should we do Today
- 139. Скачать презентацию
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DATA CULTURE
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Jon Woodward : Connect & Follow
Jon Woodward : Connect & Follow
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Data Culture Summits – Sept/Dec/Mar/May
Data Culture Summits – Sept/Dec/Mar/May
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Data Culture
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Previously…
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The Problem of Productivity
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Working Like Victorians
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Out Now….
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the Digital Deluge
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Mobile Disruption
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And Yet?
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Work Harder, Not Smarter
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Breaking the Digital Barrier
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Unlocking The data Dividend
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MAKING THE INVISIBLE VISIBLE
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Taking the Systemic View
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Here be Monsters…
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Predicting The future
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Technology’s Copernican Shift
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Ambient Intelligence
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Situational Interaction
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Situational Interaction
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The Rise of the machines
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The Power of Machine Learning
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Patterns and Deep Learning
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Moving forward
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Create A Data Culture
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Guilt by (Algorithmic) Association?
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A question of Trust
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Look for Outcomes not process
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Transformative Thinking
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Remember, Computers are useless…
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So this is what we planned to build
14 years of giving behaviour, online, web traffic, academic research
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Data Culture for Executives
Jon Woodward – Business Lead – BI & Analytics, MSFT
Gary Richardson – Director of Data Engineering, KPMG
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Data Culture for Execs
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Описание слайда:
Jon Woodward : Connect & Follow
Jon Woodward : Connect & Follow
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Gary Richardson: Connect & Follow
Gary Richardson: Connect & Follow
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Introductions
Introductions
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Benefits of Data Culture
Jon Woodward – Business Lead – BI & Analytics, MSFT
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What differentiates today’s thriving organizations?
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Industry transformation accelerating
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Data…Driving the Experience
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What do these companies have in common?
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Entering a New Data World Order
www.slideshare.net/jonathanwoodward1
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Age of the Algorithm
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Age of Things
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Age of Things
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Age of Intelligence
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Age of Intelligence
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New Data World Order
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Be more Productive
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UK Economy - Data Dividend
Capture a £53Bn data dividend from data investments by 2017
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How will YOU differentiate YOUR organization?
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The Future is Data Driven
Gary Richardson – Director of Data Engineering, KPMG
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Data Culture : Disrupting with data
Gary Richardson, UK Head of Data Engineering
KPMG
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Key concepts that are driving data innovation
Key concepts that are driving data innovation
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Leveraging new types of data
Leveraging new types of data
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Traditional Organisations = Legacy, change is needed
Traditional Organisations = Legacy, change is needed
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Where are the opportunities for you?
Where are the opportunities for you?
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Enabling Data Culture
Jon Woodward – Business Lead – BI & Analytics, MSFT
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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Driving a Data Culture
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What has worked in driving a Data Culture?
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What does the future look like ?
What does the future look like ?
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Where to Look to get started
Where to Look to get started
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Example
Example
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Building a Data Science Capability
Gary Richardson – Director of Data Engineering, KPMG
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Building the DS&E team to maximise the data dividend
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Structuring the team for success
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Organization Structure
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Ways of Working
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Next Actions
Jon Woodward – Business Lead, BI & Analytics, MSFT
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What Should we do Today
What Should we do Today
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