3. $100MAdditional average operating income for
the most digitally transformed enterprises
NEARLY
DOUBLE
higher average net
income on revenue
more revenue per employee
Source: Keystone Strategy 2016
operating margin
$40k
50%+
A M O D E R N D A T A E S T A T E A C C E L E R A T E S R E V E N U E
5. C L O U D , D A T A A N D A I D R I V E I N N O V A T I O N
6. T H E M O D E R N D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises Cloud
Data warehouses
Data lakes
Operational databases
7. O N L Y M I C R O S O F T D E L I V E R S A N
E N D - T O - E N D D A T A + A I P L A T F O R M
Security and privacyFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
Hybrid
Data warehouses
Data lakes
Operational databases
SQL Server Azure Data Services
AI built-in | Most secure | Lowest TCO
Industry leader 4 years in a row
#1 TPC-H performance
T-SQL query over any data
70% faster than competition
2x the global reach of other providers
99.9% SLA
Easiest lift and shift
with no code changes
SocialLOB Graph IoTImageCRM
8. OPTIMIZE WITH A
MODERN DATA
PLATFORM
TRANSFORM WITH
ANALYTICS
AND AI
DIFFERENTIATE WITH
BREAKTHROUGH
APPS
TRANSFORM WITH
ANALYTICS
AND AI
T R A N S F O R M Y O U R B U S I N E S S
W I T H M I C R O S O F T
9. OPTIMIZE WITH A
MODERN DATA
PLATFORM
TRANSFORM WITH
ANALYTICS
AND AI
DIFFERENTIATE WITH
BREAKTHROUGH
APPS
TRANSFORM WITH
ANALYTICS
AND AI
T R A N S F O R M Y O U R B U S I N E S S
W I T H M I C R O S O F T
10. Industry-leading security
and performance
Flexibility of choiceReason over any data
O P T I M I Z E W I T H A
M O D E R N D A T A P L A T F O R M
Gain unmatched performance and innovative
security features from the database with the least
vulnerabilities over the last 7 years*
T-SQL query over any data with mobile BI and built-
in advanced analytics at up to 1M predictions/sec
Build modern applications and analytics solutions
using any language, any platform – on-premises
and in the cloud.
*Source: National Institute of Standards and Technology (NIST) National Vulnerability Database as of January 17, 2017. https://nvd.nist.gov/
11. I N V E S T O R S G E T
I N S I G H T S 1 5 X F A S T E R
Real time analytics at scale now on Linux
Customer Need
FinTech company burdened by slow query
speeds and time-consuming maintenance sought
the familiarity of Linux OS
Impact
Query times cut from 30 to <2 seconds by
switching from PostgreSQL to SQL Server
Management time reduced 90% and Linux
platform simplified dev operations
12. OPTIMIZE WITH
A MODERN DATA
PLATFORM
TRANSFORM WITH
ANALYTICS
AND AI
DIFFERENTIATE WITH
BREAKTHROUGH
APPS
TRANSFORM WITH
ANALYTICS
AND AI
T R A N S F O R M Y O U R B U S I N E S S
W I T H M I C R O S O F T
13. Outstanding experiences Data-driven intelligenceOpen + hybrid cloud
D I F F E R E N T I A T E W I T H B R E A K T H R O U G H A P P S
Continuous innovation
Create native cross-platform mobile apps, using
one platform, IDE and language for all app types
Build solutions across public cloud and on-premises,
future proof your apps and scale as needed
Intelligent data services across relational and big
data; Cognitive services for human-like intelligence
14. Customer need
Scalable and integrated cloud + data environment to
support innovative pricing strategies.
Needed a development environment that supported
.NET + open source technologies.
Impact
Built from zero to full-fledged commerce marketplace
in 12 months
Processes 100 trillion transactions a day across
multiple regions with single-digit performance using
Azure Cosmos DB
T R A N S F O R M I N G R E T A I L
Delivering most competitive pricing to customers
with real-time price comparisons
15. OPTIMIZE WITH
A MODERN DATA
PLATFORM
TRANSFORM WITH
ANALYTICS
AND AI
DIFFERENTIATE WITH
BREAKTHROUGH
APPS
T R A N S F O R M Y O U R B U S I N E S S
W I T H M I C R O S O F T
16. Improve performance
Microsoft machine learning algorithms running close
to petabytes of data on-premises and in the cloud
2x-10x faster
Redefine interaction through AI
Speech, Vision, Language and Search APIs built
on decades of research & investment
Reduce time to value
Simplified access to machine learning models and
seamless transition from experimentation to production
*Source: Benchmarks from internal testing
T R A N S F O R M W I T H A N A L Y T I C S A N D A I
17. Customer need
Support high-volume data to improve production
efficiency, drive better performance and enable rapid
innovation and go to market
M O V I N G F R O M
I N S I G H T T O A C T I O N
Impact
Used data services in Azure like SQL Database, HDInsight, and
Machine Learning to collect remote sensor data and support
real-time insights, analytics and predictive maintenance
Improved access to production and supply chain data worldwide
Utilized new features to get to market faster and make
development easier and offer differentiated services
18. OPTIMIZE WITH
A MODERN DATA
PLATFORM
TRANSFORM WITH
ANALYTICS
AND AI
DIFFERENTIATE WITH
BREAKTHROUGH
APPS
TRANSFORM WITH
ANALYTICS
AND AI
T R A N S F O R M Y O U R B U S I N E S S
W I T H M I C R O S O F T
19.
20. We want to empower today’s innovators to unleash the power
of data and reimagine possibilities that will improve our world
21. Schedule MTC/EBC For Briefing And Demo
Deliver Data Estate Assessment
Execute A Production Ready Pilot
G E T S T A R T E D
22. Easy lift and shift
to the cloud
Modernize to
SQL Server 2017
SQL Server 2017
Linux or Windows
Unmatched performance
Most secure
Azure Database Services
Elastic scale without downtime
Threat Detection, self-tuning
Existing deployments
Running on:
SQL Server 2008+
Oracle 9.3+
MySQL
O P T I M I Z E W I T H A
M O D E R N D A T A P L A T F O R M
Turnkey global distribution
APIs for MongoDB, Graph, Tables
Azure Database for MySQL +
PostgreSQL
Elastic scale without downtime
MySQL + PostgreSQL compatibility
Azure SQL Data Warehouse
Elastic scale without downtime
Threat detection, pause compute
Azure SQL Database Azure Cosmos DB
Intelligence built-in (R, Python)
Mobile BI
Leading TCO
23. End-to-end mobile BI
on any device
Any language,
any platform, anywhere
Most secure database
over the last 7 years
Best TCO at 1/10th
the cost of Oracle
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2016)
+
Self-service BI per user
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
Intelligence built-in
at massive scale
Microsoft Tableau Oracle
$120
$480
$2,230
1/10
P O W E R Y O U R O N - P R E M I S E S D A T A
E C O S Y S T E M W I T H S Q L S E R V E R 2 0 1 7
24. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises Cloud
Data warehouses
Data lakes
Operational databases
25. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
SQL Server
Data warehouses #1 TPC-H performance
Operational databases Industry leader 2 years in a row
Only commercial DB
with AI built-in
R
0
50
100
150
Vulnerabilities
SQL Server
Most secure
over last 7 years
Any language, any
platform, anywhere
MULTIJAVA
Microsoft’s on-premises solution
1/10th the cost of Oracle
Data lakes T-SQL query over any data
26. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises Cloud
Data warehouses
Data lakes
Operational databases
27. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Azure data services
Data warehouses
Operational databases
AI built-in
R
Any language, any
platform, anywhere
JAVA
Microsoft’s cloud solution
Data lakes
2x the global reach of other
cloud providers
70% faster than competition <10ms latency guaranteed
99.9% SLA
More certifications
than any other cloud
28. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises Cloud
Data warehouses
Data lakes
Operational databases
29. T H E M O D E R N
D A T A E S T A T E
Security and privacyFlexibility of choiceReason over any data, anywhere
Hybrid
Data warehouses
Operational databases
Any language, any
platform, anywhere
MULTIJAVA
Microsoft’s hybrid solution
Data lakes
VNet
isolation
Insight across
your data estate
Easiest lift & shift with no code changes
Stretch on-premises data to cloud
Cloud DR and backup
Hybrid use rights for best TCO
30. Customer need
Global health NGO struggled to efficiently and
effectively report and share complex health information
Impact
• Up to 100x increase in staff relying on data to
improve decision-making
• Centralized, secure reporting sent to 350 staff
members around the world
S A V I N G L I V E S
W I T H C L E A R D A T A
Interactive and intuitive reporting with SQL Server
31. Customer need
Ecuadorian bank Produbanco needed to provide
unwavering security for customers while data volume
and distribution channels expand rapidly.
Impact
• Internal data concealed with Dynamic Data Masking
while testing applications
• Customer data protected from app to database with
Always Encrypted and Row Level Security
P R O T E C T I N G
7 0 0 K + C U S T O M E R S
Secure database for high volume data
32. Customer need
Dutch software provider Snelstart needed to replace
desktop software delivery model to innovate faster
and meet customer needs.
Impact
• Better customer experience through frequent
product updates and SaaS model that scales on
demand
• Automated management reduced overhead
and provisions performance with scale
S E R V I N G 5 5 K
C U S T O M E R S
W I T H 1 0 0 S T A F F
ISV deploys SaaS at cost-effective scale
33. Customer need
Engine part manufacturer Race Winning Brands
struggled to forecast sales and customize marketing
due to time-consuming and onerous BI reporting.
Impact
• Complete BI solution at 40% less than the
competition delivers savings
• Elimination of manual reporting saves
employees up to 65 hours a month
R E S P O N D I N G T O
C U S T O M E R S F A S T E R
Insights in real-time at a fraction of the cost
with Power BI
34. Customer need
Carnival cruise line struggled to accurately predict
water usage onboard ships, leading to costly water
storage or production.
Impact
• Advanced Analytics model optimizes onboard
water storage, saving $200k per ship annually
• Historical and real-time data analysis enables
predictive maintenance
S A V I N G $ 5 . 2 M W I T H
I N T E L L I G E N T W A T E R
U T I L I Z A T I O N
Advanced Analytics and AI predict water usage
35. Customer need
Incentives company Maritz needed to consolidate
and analyze employee behavior data at scale to
create customized offerings.
Impact
• 75% reduction in storage costs and 70% cut in
time spent on data collection
• Maritz rapidly scales up unified data model 2.5x
and scales down to minimize costs
A N A L Y Z I N G
B E H A V I O R F O R
C U S T O M I Z A T I O N
Faster insights at ¼ cost with SQL Data Warehouse
36. Customer need
High costs, limited performance, and slow reporting
pushed UAE health insurer Daman to consider
enterprise DW migration
Impact
• Queries 64% faster than Sybase, 98% faster
than Oracle, and 13% faster than SAP HANA
• Reports are 5x faster and built-in security saved
$250k in expenses
D E L I V E R I N G
B U S I N E S S I N S I G H T S
I N 1 / 5 T H T H E T I M E
Mission-critical data warehousing
37. Customer need
Real estate data business Attom struggled to meet
customer expectations for on-demand services on
150M+ real estate listings.
Impact
• Accelerated service updates from
24 to less than 3 hours
• Storage costs slashed by compressing data 64%
A C C E L E R A T I N G
I N S I G H T S T O A G E N T S
Fastest in-memory technology
38. E N G I N E E R I N G A 2 4 - 7
L U X U R Y E X P E R I E N C E
Vehicle platform integrates personalized services
Customer need
BMW envisioned an intelligent, highly personalized
world of digital services integrated seamlessly into a
vehicle and the life of the customer—available 24-7,
in or out of the car.
Impact
• Open Mobility Cloud, an intelligent,
continuously learning platform based on Azure,
melds environment, context and services to
address customers’ individual mobility needs
39. M I N I M I Z I N G
A I R P L A N E R E P A I R
D I S R U P T I O N
Azure platform transforms airplane maintenance
Customer need
Jet engine manufacturer Rolls-Royce faced with
unprecedented volume of aircraft engine data
needed modeling platform to forecast airplane
repairs.
Impact
• Massive cost savings across the lifetime of an
aircraft engine
• Innovative insights into aircraft management
40. E N H A N C I N G D I G I T A L
P R E S E N C E
Dynamic experience boosts customer engagement
Customer need
Geico wanted an enhanced digital presence to
better connect with customers across multiple digital
touch points.
Impact
• 24-7 customer experience across devices and
apps
• Continuous innovation with a DevOps
development methodology and cloud
application development platform
41. S C A L I N G F O R
G L O B A L G R O W T H
Technology migration enables worldwide expansion
Customer need
Domino’s Pizza wanted to transition to low-latency
performance, ‘always on’ implementation, and end-
to-end data security across on-premises and cloud,
while leveraging existing SQL Server investments.
Impact
• 99.99% uptime during peak periods across
Australia, Europe and APAC—resilient to regional
issues
• Infinite scale and data movement flexibility with
server-less computing
42. S M O O T H I N G
T H E R I D E
Predictive models improve service and cut costs
Customer need
Elevator service provider ThyssenKrupp faced
challenges with variable elevator uptime, and aimed
to improve customer service and differentiate against
the competition.
Impact
• Dynamic predictive models forecasted preventative
maintenance services around the globe
• Increased elevator uptime and reduced costs for
customers