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Why and When to Embed
Business Intelligence
June 10,
2015
Presented
by
— This webinar will be recorded
— We will take questions at the end
Welcome & Webinar Overview
Zach Taylor
Product Marketing Manager
Colin Zima
Looker Chief Analytics Officer
Meet our presenters
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
Considerations
11 Build vs Buy
2 Time-to-Market
3 Customization Level
4 Evaluating ROI
Build vs Buy
You can build anything yourself.
The question is time.
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
Customization
● Your customers may not need the same depth you have internally
● Define the experience you want
○ Dashboards only
○ Exploring data
○ Full analytics experience
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
Upside of Embedding
1
1 Increase Efficiency
2 Stay Competitive
3 Empowered Workforce
4 Driving Higher ASPs
5 Productizing Data
Increase Efficiency: iBotta
iBotta Before
• Taking days
• Silos
• Not real time
• Not dynamic
• Hard to make changes
SELECT dimension.a,
SUM(dimension.b)
FROM schema.ads LEFT JOIN
schema.transactions
The iBotta Solution
• Eliminate pull, Excel,
ppt workflow
• Offer a higher value
product
• Model it once; change
easily
[Insert screenshot]
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.
SEAS Before
• Offering
• Automate
• Easy to use
dashboarding
• Tiers of users
The SEAS Solution
[Insert screenshot]
Empower Your Workforce: Hubspot
HubSpot is the world’s leading inbound marketing and sales platform
Hubspot Before
• One on ones with sales managers
• Periodic reports
• Multiple platforms
• Lack of transparency
The Hubspot Solution
• Automation
• Single access point
• Full transparency
• Fewer meetings
Higher Selling Prices
Productizing Data
Q &
A
Thank you
@lookerdata
colin@looker.com
zach@looker.com
When and Where to Embed Business Intelligence
• 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

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When and Where to Embed Business Intelligence

  • 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
  • 12. iBotta Before • Taking days • Silos • Not real time • Not dynamic • Hard to make changes SELECT dimension.a, SUM(dimension.b) FROM schema.ads LEFT JOIN schema.transactions
  • 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.
  • 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
  • 22. Q & A
  • 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