More Related Content Similar to Big Data for the CMO Similar to Big Data for the CMO (20) More from Bruno Aziza (20) 4. I KNOW HALF THE MONEY I SPEND IS WASTED, TROUBLE IS….
I DON’T KNOW WHICH HALF!
John Wanamaker
AlpineNow.com
5. The Good News
Marketing = Revenue Generation
CMO spend more then CIOs by 2017
Marketers changing (Lean, Growth Hacking)
5
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6. More Good News
Revenue Generation
Best-In-Class contribute to 82% of revenue
(Laggards 25%)
Customer Retention
Best-In-Class rate is 86% of revenue
(Laggards 68%)
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7. Did Big Data Kill the Radio Star?
Big Data is Hard, Long and Expensive
Big Data requires Data Scientists
Big Data requires I.T., Hardware and Code
AlpineNow.com
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8. Data = Value
One the World’s Fastest Growing Media Agency
$2B in 2013, 126 Markets
From 5 Channels to 10 in less than 10 Years
(Google in 1998, Facebook in 2004, Twitter in 2006)
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9. Marketing = Science
Havas was a “No Sampling Analytics” Pioneer
Did “Big Data” before it was called “Big Data”
Data @ the center of “Meaningful Connections”
AlpineNow.com
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10. Code Free and Agile
1000’s of lines of code replaced by 2 visual workflows
“A process that used to take months can now be
done in just a few hours”
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11. Who Else Uses Alpine?
CHURN PREDICTION
OPTIMIZATION AND ATTRIBUTION
SIMULATION AND RECOMMENDATION
and many more
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12. A New Approach
Code Free
Collaborative
Lightweight, Big Impact
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15. Lightweight, Big Impact
End-to-End Analytics Processing
In-Cluster™: No Data Movement
Zero Footprint, Friction-Free Iterations
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16. You Can Do It Too
WWW.ALPINENOW.COM
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AlpineNow.com
94. How Advanced Analytics Used to Work
Collection involved multiple
people, many steps and could take
weeks or months.
Development was built on data extracts
using scripts or code.
Iteration was expensive, offered little
feedback or opportunity for collaboration.
Manual Process
No Self-Service
PULL
CLEANSE & MODEL
Spreadsheet-Centric
EVALUATE
DEPLOY
Not Re-usable
Time to Insight: Measured in WEEKS & MONTHS
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
95. How Advanced Analytics Used to Work
Collection involved multiple
people, many steps and could take
weeks or months.
Development was built on data extracts
using scripts or code.
Iteration was expensive, offered little
feedback or opportunity for
collaboration.
Manual Process
No Self-Service
PULL
CLEANSE & MODEL
Spreadsheet-Centric
EVALUATE
DEPLOY
Not Re-usable
Time to Insight: Measured in WEEKS & MONTHS
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
96. How it Works with Alpine
MANAGE
EXPLORE
Collection is done by the Data Analyst.
Development is built on the entire dataset
in a visual manner.
Iteration is inexpensive, provides
feedback, supported by a collaborative
platform.
COLLABORATE
ANALYZE
Automated Process
Self-Serve and Visual
Team-Based and Flexible
BUILD
Repeatable
Time to Insight: Measured in HOURS & DAYS
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
97. How it Works with Alpine
MANAGE
EXPLORE
Collection is done by the Data Analyst.
Development is built on the entire dataset
in a visual manner.
Iteration is inexpensive, provides
feedback, supported by a collaborative
platform.
COLLABORATE
ANALYZE
Automated Process
Self-Serve and Visual
Team-Based and Flexible
BUILD
Repeatable
Time to Insight: Measured in HOURS & DAYS
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
98. Explore
Automated Process
Self-Serve and Visual
Discover Initiatives
Browse Content and Data
Find Experts, Assemble Teams
Create Sandbox, Add Data Services
Manage Projects, Models and Initiatives
Create a shared, searchable repository of all
your analytics: data, code, models and insights
Get to Business in 1/10th of the Time
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
99. Explore
Automated Process
Self-Serve and Visual
Discover Initiatives
Browse Content and Data
Find Experts, Assemble Teams
Create Sandbox, Add Data Services
Manage Projects, Models and Initiatives
Create a shared, searchable repository of all
your analytics: data, code, models and insights
Get to Business in 1/10th of the time
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
100. Build and Analyze
Work with Comprehensive Visualization & Chart Types
Apply Data Integration and Transformation Code-Free
Run Instructions to Hadoop without learning
MapReduce
Automate and Schedule Procedures, Write-back
without Scripts
Test and Model in minutes using full Statistical
Package including Time-Series Analysis,
Classification, Regression, Decision Trees and more
Scale to Billions of rows and terabyte-sized
datasets effortlessly
Reduce the Cost of iteration by 100 Times
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
101. Build and Analyze
Work with Comprehensive Visualization & Chart Types
Apply Data Integration and Transformation Code-Free
Run Instructions to Hadoop without learning
MapReduce
Automate and Schedule Procedures, Write-back
without Scripts
Test and Model in minutes using full Statistical Package
including Time-Series
Analysis, Classification, Regression, Decision Trees and
more
Scale to Billions of rows and terabyte-sized datasets
effortlessly
Reduce the Cost of iteration by 100 times
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
102. Manage and Collaborate
Share Models, Libraries and Custom Flows
Re-use Objects, Workflows and Projects
Govern Flows, Processes and Procedures
Track changes, results and comment.
Marketing
Collaborate on Projects in Multi-User Mode
Operations
Secure and Manage Access
Sales
Engineers
Data scientists
Management
100X Impact W/O Compromising Security
& longevity of the Solution
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
103. Manage and Collaborate
Share Models, Libraries and Custom Flows
Re-use Objects, Workflows and Projects
Govern Flows, Processes and Procedures
Track changes, results and comment.
Marketing
Collaborate on Projects in Multi-User Mode
Operations
Secure and Manage Access
Sales
Engineers
Data scientists
Management
100X Impact W/O Compromising Security
& Longevity of the Solution
©2013 Alpine Data Labs | www.alpinenow.com
AlpineNow.com
