The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.

1. Evolve your data platform

2. Today’s businesses
must build a data
strategy to harness
the power of data
The explosion of data sources...
…drives an explosion of data
…which drives businesses to learn more
2013-2020 CAGR = 41%
25B
4.0B1.3B
2010 2013 2020
Source: Forecast: Internet of Things, Endpoints and Associated Services, Worldwide, 2014. Gartner. Oct 20 2014
Source: IDC “Digital Universe”, Dec. 2012

3. Companies that embrace the data culture
outperform their competitors
Source: IDC, Capturing the 1.6 Trillion Data Dividend, May 2014
Diverse data sources
New analytics
Insights to more people
Speed

4. • Leverage real-time and historical data from
medical devices, electronic health records
• Adjust treatment plans in real time
using predictive analytics
• Access dashboards and monitor
patients from mobile apps
“Machine learning gives us an opportunity to continuously improve
our care plans based on a deep understanding of all that data.”
Dr. Robert Greene
Dartmouth-Hitchcock Medical Center
Executive Vice President
-
Predict outcomes and
adjust treatment plans in
real time by using current
and historical data.

5. Structured data from
LOB apps is transacted
and locally managed.
Structured data
managed and
analyzed centrally
informs business.
Data capture is
comprehensive and
scalable and informs
business decisions.
Data transforms
business to drive
outcomes. Any data,
any source, anywhere
at scale.
The journey to a modern data culture
Reactive
Informative
Predictive
Transformative

6. OLTP Apps Analytics Cubes & Services BI ReportsData Warehouse
Reactive data architecture
Finance
CRM
ERP
Data Mart or
Operational Data Store
Big Data Storage Hive Query

7. OLTP Apps Big Data & Analytics Comprehensive BI
Streaming
IoT
Social
Modern Data Warehouse
Transformative data architecture
Big Data Storage
NoSQL
Data Lake
CRM
ERP
Business Analyst
BI Users
IT Pro
Data Mart or
Operational Data Store
+ other data sources
LOB
Finance
Web

8. MobileReports
Natural
language queryDashboardsApplications
StreamingRelational
Internal
& external

Non-relational NoSQL
Orchestration
Machine
learningModeling
Information
management
Complex event
processing
Data
The Microsoft
data platform

9. StreamingRelational
Internal
& external

Non-
relational NoSQL
Microsoft AzureSQL Server
• StreamInsight
• PolyBase
• Azure SQL Data Warehouse
• Azure Data Lake
• Azure Document DB
• Event Hubs
• Azure Marketplace
• Up to 30x In-memory OLTP performance
• Up to 100x ColumnStore performance
• AlwaysOn Availability
• Stretch
• SQL Database Premium
• 99.99% Microsoft-backed SLA
at the database level
• Transparent Data Encryption
• Always Encrypted
• Row-level security
• Azure SQL Database is verified
for industry standards
• Azure IEC 27018 cloud privacy
• Compliance auditing
Enable security
& compliance
Maximize performance
& availability
Manage big data
& relational data

10. Orchestration
Machine
learningModelingEIM
Complex event
processing
Microsoft AzureSQL Server
• R Integration
• Data Mining
• Azure Machine Learning
• ColumnStore
• APS MPP
• PolyBase
• Analysis Services
• Azure SQL Data Warehouse
• HDInsight
• Spark & Storm for HDInsight
• Azure Stream Analytics
• Integration Services
• Data Quality Services
• Master Data Management
• Azure Data Factory
Manage data quality
Maximize scale
& performance
Predict what’s next

11. Reports
Natural
languagequeryDashboardsApplications
Power BISQL Server
• Power Query • Live query to Analysis Services
• Support for streaming data
• Scheduled data refresh
• Secure reports
• Datazen
• Online & offline support
• Collaborate
• Native apps for phone or tablet
• Alerts
• Share and collaborate
• Analyze in Excel
• Full integration with SharePoint
• Prep and model data through Excel
• Prebuilt content packs for Salesforce,
Marketo, QuickBooks and more
• Natural language query
Connect more
people to data
Access data
on any device
Faster insights
on any data
Mobile

12. Magic Quadrant for Data Warehouse
Database Management Solutions3
A leader for the fourth consecutive year
Magic Quadrant for Business
Intelligence and Analytics Platforms2
A leader 8 years running
Magic Quadrant for Operational
Database Management Systems1
Placed furthest for completeness of vision
[1]Gartner“MagicQuadrantforOperationalDatabaseManagementSystems,”byDonaldFeinberg,MervAdrian,NickHeudecker,October2014
[2][*Gartner“MagicQuadrantforBusinessIntelligenceandAnalyticsPlatforms,”byRitaSallamandJoshParenteau,February23,2015
[3]Gartner“MagicQuadrantforDataWarehouseandDataManagementSolutionsforAnalytics,”byMarkBeyerandRoxaneEdjlali,February12,2015
ThisgraphicwaspublishedbyGartner,Inc.aspartofalargerresearchdocumentandshouldbeevaluatedinthecontextoftheentiredocument.TheGartnerdocumentisavailableuponrequestfromMicrosoft.Gartnerdoesnotendorseanyvendor,productorservicedepictedinitsresearchpublications,anddoesnotadvisetechnologyuserstoselectonlythosevendorswiththehighestratingsorotherdesignation.GartnerresearchpublicationsconsistoftheopinionsofGartner's
researchorganizationandshouldnotbeconstruedasstatementsoffact.Gartnerdisclaimsallwarranties,expressedorimplied,withrespecttothisresearch,includinganywarrantiesofmerchantabilityorfitnessforaparticularpurpose.
Leader in key magic quadrants

13. SQL Server 2005
SQL Server 2008
SQL Server 2008 R2
SQL Server 2012
SQL Server 2014
SQL Server 2016
Extended support for SQL Server 2005 ends on April 12, 2016
Performance &
productivity
Mission critical Self-service BI Cloud-ready
Mission critical &
cloud performance
Advanced analytics
& rich visualizations
The evolution of SQL Server

14. Data-centric businesses are
partnering with Microsoft

15. Get started today
Walk through cloud and data center
scenarios with an immersive experience
Get actionable recommendations from
a SQL Server modernization assessment
Delve deep into the benefits of SQL Server
2016 with a personalized briefing

16. Finance
ERP
CRM
Data Mart or
Operational Data Store
Streaming
IoT
Social
LOB
Big Data Storage
NoSQL
Data Lake
Business Analyst
BI Users
IT Pro
Web
Comprehensive BI
Transformative data architecture
OLTP Apps Big Data & AnalyticsModern Data Warehouse
+ other data sources
SQL Server 2016
with In-Memory OLTP
Azure SQL Database
Azure IoT Services
Azure Marketplace
SQL Server 2016
Azure SQL Data
Warehouse
Azure Data Lake
Azure HDInsight
Azure Document DB
SQL Server 2016
• Integration Services
• Data Quality Management
• Master Data Management
R Integration
Azure Machine Learning
Data Mining
Azure Stream Analytics
Power BI
Azure Stream Analytics
Spark & Storm for HDInsight

17. Data Platform leaps in innovation
2012
SQL Server 2012
2013
HDInsight
“Our industry does not respect
tradition – it only respects innovation.”
– Satya Nadella
2015
Azure
Machine Learning
Azure
Document DB
HDInsight on
Linux, HBase, Storm
Azure SQL DB with
In-memory OLTP
Cortana Analytics
Preview
IoT Services
2014
SQL Server 2014
APS
Azure SQL Database
Power BI

18. Avoid business interruptions—after the end of support,
there will be no access to critical security updates.
Maintaining legacy servers, firewalls, intrusion systems,
etc. gets expensive quickly.
As support ends, your organization will likely fail
to meet standards.
Extended
support for
SQL Server 2005
ends on
April 12, 2016

19. Become a digital business
with the Internet of Things
Connect people,
processes and assets
Analyze data for
operational insights
Improve efficiency and
discover new opportunities

20. Increasing efficiency in
oil and gas with the
Internet of Things
Investing in energy with
fast, predictive,
cloud-based intelligence
Innovating to grow a
laundry business with
cloud analytics
The Microsoft data platform in action