Watch the recorded webinar at http://bit.ly/1MeX7QK Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about how to bring an external-facing data product to market by embedding BI software, and what that can add to your offering. Presentation covers: -Top uses cases for embedding business intelligence software Case studies from different companies currently embedding BI -Build vs buy considerations -Evaluating ROI

1. Why and When to Embed
Business Intelligence
June 10,
2015
Presented
by

2. — This webinar will be recorded
— We will take questions at the end
Welcome & Webinar Overview

3. Zach Taylor
Product Marketing Manager
Colin Zima
Looker Chief Analytics Officer
Meet our presenters

4. All your questions
answered
Real uses cases and
the decision making
behind them
Buying
Considerations
3-Minute Case
Studies
Quick Overview
Understanding the
trade-offs to realizing
value with your data
Q & A

5. Considerations
11 Build vs Buy
2 Time-to-Market
3 Customization Level
4 Evaluating ROI

6. Build vs Buy
You can build anything yourself.
The question is time.

7. Time-to-Value
● Not everything is your core competency
● You aren’t building everything from scratch
○ HR, web infrastructure, internal analytics, marketing automation
● Web first makes it easy
○ Point to your data
○ Define the experience
○ Reporting in hours, not weeks or months

8. Customization
● Your customers may not need the same depth you have internally
● Define the experience you want
○ Dashboards only
○ Exploring data
○ Full analytics experience

9. Investment:
- Product planning
- Engineering resources
- Design
- Analytical modeling
- Maintenance!
Evaluating ROI
Like any product decision, the ultimate driver is ROI
Return:
- Increased loyalty
- Higher price points
- Product differentiation
- Empowering employees

10. Upside of Embedding
1
1 Increase Efficiency
2 Stay Competitive
3 Empowered Workforce
4 Driving Higher ASPs
5 Productizing Data

11. Increase Efficiency: iBotta

12. iBotta Before
• Taking days
• Silos
• Not real time
• Not dynamic
• Hard to make changes
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SUM(dimension.b)
FROM schema.ads LEFT JOIN
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13. The iBotta Solution
• Eliminate pull, Excel,
ppt workflow
• Offer a higher value
product
• Model it once; change
easily
[Insert screenshot]

14. Staying Competitive: SEAS
Educators who use DataSense to share data take advantage of
individualized, instructional insights based on near real-time
data to help drive student performance and district planning.
DataSense ensures that current student data informs all
relevant district applications.

15. SEAS Before
• Offering

16. • Automate
• Easy to use
dashboarding
• Tiers of users
The SEAS Solution
[Insert screenshot]

17. Empower Your Workforce: Hubspot
HubSpot is the world’s leading inbound marketing and sales platform

18. Hubspot Before
• One on ones with sales managers
• Periodic reports
• Multiple platforms
• Lack of transparency

19. The Hubspot Solution
• Automation
• Single access point
• Full transparency
• Fewer meetings

20. Higher Selling Prices

21. Productizing Data

22. Q &
A

23. Thank you
@lookerdata
colin@looker.com
zach@looker.com

25. • Is embedding something you can leg into slowly?
• How does security compare for embedded vs in-house?
• Are you HIPPA compliant?
• How quickly can teams go to market?
• How much data access do companies generally give their customers?
Draft Questions