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Using Premium Data - for Business Analysts
The document outlines a presentation by Lynn Langit on the importance of utilizing premium and public data for business analytics, emphasizing the need for data to answer various business questions. It highlights different types of data, including current, archived, and public data, as well as vendors of premium data like Dun & Bradstreet and Quandl. Key takeaways include the recommendation to start with open data, explore premium options before purchasing, and utilize integration with Microsoft products for better data management.
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Using Premium Data - for Business Analysts
- 1. Using Premium Data forAnalysts April 20 - 22, 2015 | Santa Clara, CA @LynnLangit
- 2. About Lynn Langit Formerdeveloper 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 LynnLangit @lynnlangit Lynn Langit LynnLangit.com SoCalDevGal TeachingKidsProgramming.org
- 4. 5 “Why Do We Want (orNeed) MORE Data?”
- 5. Business Questions • Whereshould 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?
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- 7. 8 Types of Data YourData • Current • Archive • Other Public Data • Gov’t • Academic • Non-profit Premium Data • Freemium • Premium
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- 11. 12 Public Data onthe Public Cloud by Example
- 12. Premium Data Vendorsby Example Dun & Bradstreet Hoover’s Online Melissa Data Quandl Strike Iron Forex
- 13. Premium Data Pricing PurePremium Metered • Pay for Data • Pay for Algorithm Partner Rates Volume Discounts 14 Freemium Models • Fake data • Subset of data • Limited Time Period Samples
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- 17. 18 Integration with MicrosoftProducts Excel • Office Applications • Power BI • Custom Add-in SQL Server • SSIS • DQS • Rest API
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- 19. 20 Takeaways Tie the pursuitof ‘more data’ to business questions Explore with public (open) data Try premium data before buying it Leverage vendor integration
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- 21. for attending this sessionand the PASS Business Analytics Conference 2015 Thank You
Editor's Notes
- #4 [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,]
- #5 [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.
- #11 http://en.wikipedia.org/wiki/Open_data#mediaviewer/File:LOD_Cloud_2014.svg
- #12 http://www.amsterdamopendata.nl/web/guest/home http://datahub.io/dataset/amsterdam-museum-as-edm-lod
- #13 http://aws.amazon.com/datasets/ www.google.com/publicdata/directory
- #18 https://www.quandl.com/WIKI/FB-Facebook-Inc-FB-Prices-Dividends-Splits-and-Trading-Volume