Using Premium Data - for Business Analysts

Using Premium Data for Analysts

April 20 - 22, 2015 | Santa Clara, CA@LynnLangit

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

4

Connect with Lynn Langit

@lynnlangit

Lynn Langit

LynnLangit.com

SoCalDevGal

TeachingKidsProgramming.org

5

“Why Do

We Want

(or Need)

MORE Data?”

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?

7

8

Types of Data

Your Data

• Current

• Archive

• Other

Public Data

• Gov’t

• Academic

• Non-profit

Premium

Data

• Freemium

• Premium

9

Tip:

Start

with

Open

Data

10

11

12

Public Data on the Public Cloud by Example

Premium Data Vendors by Example

Dun &

Bradstreet

Hoover’s

Online

Melissa

Data

Quandl Strike Iron Forex

Premium Data Pricing

Pure Premium

Metered

• Pay for Data

• Pay for

Algorithm

Partner RatesVolume

Discounts

14

Freemium Models

• Fake data

• Subset of data

• Limited Time

Period

Samples

15

Tip:

Try Before

You Buy!

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Microsoft

17

Quandl

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Integration with Microsoft Products

Excel

• Office Applications

• Power BI

• Custom Add-in

SQL Server

• SSIS

• DQS

• Rest API

19

Excel and Premium Data

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

Questions?

for attending this

session and the

PASS Business

Analytics

Conference 2015

ThankYou