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Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
Find værdi i alle data
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Find værdi i alle data

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Få den indsigt, der skal til for at træffe oplyste beslutninger og differentiere dig fra konkurrenterne. Se for eksempel, …

Få den indsigt, der skal til for at træffe oplyste beslutninger og differentiere dig fra konkurrenterne. Se for eksempel,
hvordan du kan analysere og anvende store og komplekse datamængder fra et utal af interne og eksterne
kilder på en nem og overskuelig måde. Selv fra komplekse tredje-parts data kan du hente værdifuld viden.

Published in: Marketing, Technology, Business
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  • 1. Big Data. Small data. All data. Lars Bo Granath larsBG@microsoft.com
  • 2. ”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)
  • 3. Petabytes Terabytes Gigabytes Megabytes Data Complexity: Variety and Velocity
  • 4. 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.
  • 5. 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
  • 6. Hvordan kan Microsoft så hjælpe dig med at få bedre indsigt ?
  • 7. Self-Service BI Self-service BI with the familiarity of Office and the power of the cloud
  • 8. Empower users with self-service in Excel
  • 9. Resume • Demo senarier • • • • 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 ) • • • • • • 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

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