The digital future and dealing with disruption

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1 The digital future and dealing with disruption Dr Giles Nelson, Senior Vice President of Product Marketing and Strategy May

2 BIG CHANGE due to digitization 2

3 2 billion internet users worldwide 40% Growth in data generated per yr - 40 trillion Gb by billion connected devices by % of internet change arises from conventional industries 3

4 Disruption is Everywhere All of the time Customer Experience Customers demanding a regular, real-time experience Large number and variety of data sources needed to derive context Unable to combine customer insights, inventory and competitor data on-the-fly Internet of Things Integration with countless things disrupting enterprise architectures Unable to automate maintenance scheduling, procurement and other core business services Challenged to combine historical and streaming big data on-the-fly Resurgent Risk Managers Regulation causing significant and continuous change Controls are slow to respond to changing business risks Controls rooted in analysis of the past and slow to respond 4

5 More influence of customers Disrupting existing business models DIGITAL BUSINESS Blurring the digital and physical world Agility, speed, scale, responsiveness 5

6 Physical and digital are FUSING CONNECTING people, processes, data and things leading to A SENTIENT, DIGITAL WORLD 6

7 The Internet of Things Precision Agriculture Smart Vending Connected Car Digital Signage Smart Manufacturing Predictive Maintenance Gartner: Internet of Things will grow to 50 billion units by

8 Predictive maintenance for gas powered engines 1% fall in capital expenditures over 15 years means savings of $60Bn Event stream from 3,500 gas engines Visualize and forecast upcoming maintenance Streaming baselining and analytics to determine spark plug changes, cylinder head valve failure, bearing failure etc. 8

9 Shipping medical devices on time Complete supply chain visibility from factory to hospital means service levels are met and customers and patients are satisfied 9

10 Container ships often arrive early or late at ports Average fuel consumption per day Full speed 350 tons Half speed 150 tons Timing your arrival can save $5,000 per hour per ship 10

11 Making cities smart 1. Predictive maintenance on water infrastructure 2. Intelligent lighting, reducing power costs and light pollution 3. Optimize traffic light timing through constant monitoring of traffic flows 4. Encourage energy use reductions through information transparency 11

12 The Age of the Customer Personalization is the goal: the segment of one Customers wanted to be treated like royalty 12

13 Real time becomes RIGHT TIME in the right context Random time Real time Non segmented campaign 4 Segmented campaign 1 13

14 Location Analytics optimizing customer service Hotspots of customer crowding Highlight problems Redeploy staff in real-time Understand impact of signage and respond 14

15 Tech trends 15

16 A new class of applications are required Fast, Big Data Financial Services Complexity of extraenterprise information Supply Chain Logistics CRM / CXM Manufacturing Fraud Time window to analyze & act Intelligent Healthcare 16

17 The rise of the in-memory compute and streaming analytics market Big Data Streaming Analytics Wave,

18 Hadoop is challenging conventional DBMS and data warehouse Past Big Data projects were science experiments Now they re in production 18

19 And hardware innovation just keeps on going. Storage 19

20 And hardware innovation just keeps on going. Cost of computing power 20

21 And hardware innovation just keeps on going. Connection speed 21

22 Software AG s Digital Business Platform 22

23 23

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