This document discusses big data and how Microsoft can help organizations gain insights from data. It describes the variety of structured and unstructured data sources, such as satellite imagery, scientific data, social media, and sensor data. Big data is used across many industries for applications like fraud detection, recommendation engines, traffic optimization, and personalized insurance. The document promotes Microsoft's self-service BI tools in Excel and Power BI for exploring large datasets and visualizing insights. Demo scenarios showcase how these tools can be used to analyze stock trades, social media sentiment, narcotics data, and more.

2. Big Data. Small data. All data.
Lars Bo Granath
larsBG@microsoft.com

3. ”By 2015 will organizations that has built a
modern information system financially exceed
it’s competitors with 20%"
Mark Beyer, Gartner
(Information Management in the 21st Century)

7. Petabytes
Terabytes
Gigabytes
Megabytes
Data Complexity: Variety and Velocity

8. Machine-generated unstructured data:
• Satellite images: This includes weather data or satellite surveillance imagery. Just think about BING MAPS
or Google Earth, and you get the picture.
• Scientific data: This includes seismic imagery, atmospheric data, and high energy physics.
• Photographs and video: This includes security, surveillance, and traffic video.
• Radar or sonar data: This includes vehicular, meteorological, and oceanographic seismic profiles.
• Sensor data: This includes all kind of devices providing data.
Human-generated unstructured data:
• Text internal to your company: Think of all the text within documents, logs, survey results, and e-mails.
Enterprise information represents a large percent of the text information in the world today.
• Social media data: This data is generated from the social media platforms such as YouTube, Facebook,
Twitter, LinkedIn, and Flickr.
• Mobile data: This includes data such as text messages and location information.
• Website content: This comes from any site delivering unstructured content, like YouTube, Flickr, or
Instagram.

9. Big Data is everywhere
Intelligence
Gathering
IT infrastructure &
Web App
optimization
Churn
analysis
Location-based
tracking & services
Fraud
detection
Life sciences
research
Legal
discovery and
document archiving
Social network
analysis
Traffic flow
optimization
Recommenda-tion
engines
Oil & Gas exploration
Weather forecasting
for business
planning
Healthcare
outcomes
Personalized
Insurance
Advertising analysis
Equipment
monitoring
Pricing Analysis
Smart meter
monitoring

10. Hvordan kan
Microsoft så
hjælpe dig med
at få bedre
indsigt ?

11. Self-Service BI
Self-service BI with the familiarity of Office and the power of the cloud

12. Empower users with self-service in Excel

14. Resume
• Demo senarier
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40 års aktiehandler (hurtig indsigt i industrier)
15 million Tweet’s om film (Kan jeg bedre forudse efterspørgsel)
Chicago Narcotics (data visualisering) + Trick or Treat (Hvor skal vores børn hen og hente slik)
Power BI (Deling af rapporter, samt ASK)
• Værktøjer
• Excel ( PowerQuery, PowerMAP)
• Power BI (Prøv det på - www.PowerBI.com )
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Hvilke scenarier giver værdi for jer ?
Bliver I ”Master of data” ? (BigData )
Evalueringer.
Videre dialog? Kontakt info i folder.
Og så tak til Morten Albæk, Annemarie Brandsen, Fredrik Tukk
Frokost.
Håber I er blevet inspireret … tak for jeres tid !!!
Lars Bo Granath - larsBG@microsoft.com