Using Premium Data - for Business Analysts
•Download as PPTX, PDF•
2 likes•4,562 views
Understanding use cases for free and premium data in Big Data scenarios - uses D&B, Melissa, Quandl and others. Shown using integration with Microsoft Excel and other tools.
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Using Premium Data - for Business Analysts
Similar to Using Premium Data - for Business Analysts (20)
More from Lynn Langit
More from Lynn Langit (20)
Recently uploaded
Recently uploaded (20)
Using Premium Data - for Business Analysts
- 1. Using Premium Data for Analysts April 20 - 22, 2015 | Santa Clara, CA @LynnLangit
- 2. About Lynn Langit Former developer evangelist for Microsoft MSDN team Community Awards •SQL Server MVP •AWS Community Hero •Google Developer Expert (Cloud) Author, teacher, analyst •Wintellect •Lynda.com •GigaOm •TKP
- 3. 4 Connect with Lynn Langit @lynnlangit Lynn Langit LynnLangit.com SoCalDevGal TeachingKidsProgramming.org
- 4. 5 “Why Do We Want (or Need) MORE Data?”
- 5. Business Questions • Where should I put my cart(s) based on forecast traffic? • When should my carts be open based on local events? • What types of food are in season now? • Where can I buy the best quality for the best prices? • Who is my (new?) competition? • What are the average prices nearby to me? • Who are top suppliers in my area? • How can I make more money?
- 6. 7
- 7. 8 Types of Data Your Data • Current • Archive • Other Public Data • Gov’t • Academic • Non-profit Premium Data • Freemium • Premium
- 9. 10
- 10. 11
- 11. 12 Public Data on the Public Cloud by Example
- 12. Premium Data Vendors by Example Dun & Bradstreet Hoover’s Online Melissa Data Quandl Strike Iron Forex
- 13. Premium Data Pricing Pure Premium Metered • Pay for Data • Pay for Algorithm Partner Rates Volume Discounts 14 Freemium Models • Fake data • Subset of data • Limited Time Period Samples
- 15. 16 Microsoft
- 16. 17 Quandl
- 17. 18 Integration with Microsoft Products Excel • Office Applications • Power BI • Custom Add-in SQL Server • SSIS • DQS • Rest API
- 18. 19 Excel and Premium Data
- 19. 20 Takeaways Tie the pursuit of ‘more data’ to business questions Explore with public (open) data Try premium data before buying it Leverage vendor integration
- 20. Questions?
- 21. for attending this session and the PASS Business Analytics Conference 2015 Thank You
Editor's Notes
- [Moderator Slide] Lynn Langit was a developer evangelist for the Microsoft MSDN team for four years before leaving Microsoft in October 2011 to do consulting and training. Prior to working at Microsoft, she founded and served as lead architect of a development firm that created BI solutions. She holds a number of partner awards - Microsoft MVP (SQL Server), AWS Community Hero, Google Developer Expert (Cloud). She's authored and taught for Wintellect and Lynda.com. Lynn's been doing production work with SQL Server, Hadoop, .NET, Java, and more. She is also co-founder of the non-profit Teaching Kids Programming (www.TeachingKidsProgramming.org). [move to next slide,]
- [Moderator Slide] If want to connect with Lynn, or if you have any questions after watching this webinar you can contact her via these mediums here.
- http://en.wikipedia.org/wiki/Open_data#mediaviewer/File:LOD_Cloud_2014.svg
- http://www.amsterdamopendata.nl/web/guest/home http://datahub.io/dataset/amsterdam-museum-as-edm-lod
- http://aws.amazon.com/datasets/ www.google.com/publicdata/directory
- https://www.quandl.com/WIKI/FB-Facebook-Inc-FB-Prices-Dividends-Splits-and-Trading-Volume