Data & Advanced
Analytics
Technical Track
by
ZIFF
winners of the Big Mountain Data Competition
ziff.io & @ziffio
introductions
what you hope to gain
Data Products
Data Aggregation
Analytics
Recommended Action
Activity
Objectives
● Easy to try n-scale nosql you can push to
aws
● Use cases & Skullcandy
● Relevant to you & your company
○ Pro...
Upfront Contract
YES
Business value
Specific to your needs
Getting started and next
steps
Well formed next-step
Collaborat...
Agenda
1. Introductions
2. Typical architectures
3. Identify where to make an impact
4. Identify requirements for a POC
5....
data collectors
bulk
store
batch
process
live
store
api
service
ui
Datacenter
AWSand/or
“Analytic”
queues & oltp
*SQS
redi...
data
stream
process
bulk
store
batch
process
live
store
api
service
ui
Datacenter
AWSand/or
Stream
just process
storm
spar...
impact
alignment = buy-in
Product Innovation/
Product Leadership
Customer
Relationships/
Customer Intimacy
Infrastructure Mgmt/
Operational
Excellen...
Product Customer Operations
==MARKETING==
Who are your potential
customers?
What do they want?
Brand loyalty?
What’s next?...
Product focused problems
● Marketing
○ Keywords
○ Channel Attribution
○ Rev/Cost per channel
○ Targeting
○ Profiling
○ Mar...
Customer focused problems
● Sales
○ Sentiment
○ Retention & Churn
○ Profile
○ Customer Support
○ A/B & Multivariate
○ Offe...
Operations focused problems
● Ops
○ Failure rate
○ Yield optimization
○ Pricing & Costing
○ Time to ____
○ Traveling Sales...
Key
Partnerships
Key Activities
PLATFORM MGMT
MANAGING
SERVICES
EXPANDING REACH
Value
Propositions
TARGETED ADS
FREE SEARC...
Key
Partnerships
Key Activities Value
Propositions
Customer
Relationships
Customer
Segments
Key Resources Channels
Cost St...
Gain, Pain, & Google
You
GainGain
Creators
Pain
Relievers
Pain
JobsProducts &
Services
FIND STUFF
TOO MANY THINGS
OFF TOPI...
Gain, Pain, & Customer/Revenue-side Analytics
You
GainGain
Creators
Pain
Relievers
Pain
JobsProducts &
Services
Gain, Pain, & Partner/Cost-side Analytics
Partner
GainGain
Creators
Pain
Relievers
Pain
JobsProducts &
Services
You
local to cloud
M/R
AWS
exercise
identify key components related to pain(s)
Skullcandy
Focus: Get more customers with online channel
Know
● Who
● vs Competition
Be able to
● Target
● Get in front
Pr...
What must be true?
What must be true in order to
detect/identify/catch ___________________?
● know
● be able to
● profile ...
… in order to get the info
● people
● data points
● resources
… in order to use it
● metric(s) or key results
● tools
● technology
● expertise
Wrap up
Hope
You & your organization will incorporate
advanced analytics as part of your competitive
strategy in your mark...
Wrap up
Belief
Data & Advanced Analytics can be key in better
aligning your business with strategic objectives
and can be ...
Wrap up
Dare to dream
● Innovation as accepted norm in your enterprise
● Employees feel greater autonomy, mastery, purpose...
Thank You!
info@ziff.io
@ziffio
Sponsors
Big Mountain Data Workshop Technical track
Big Mountain Data Workshop Technical track
Big Mountain Data Workshop Technical track
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Big Mountain Data Workshop Technical track

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Data & Advanced Analytics: Technical Track
by
ZIFF
winners of the Big Mountain Data Competition
ziff.io & @ziffio

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Big Mountain Data Workshop Technical track

  1. 1. Data & Advanced Analytics Technical Track by ZIFF winners of the Big Mountain Data Competition ziff.io & @ziffio
  2. 2. introductions what you hope to gain
  3. 3. Data Products Data Aggregation Analytics Recommended Action Activity
  4. 4. Objectives ● Easy to try n-scale nosql you can push to aws ● Use cases & Skullcandy ● Relevant to you & your company ○ Problem types ○ Solution types
  5. 5. Upfront Contract YES Business value Specific to your needs Getting started and next steps Well formed next-step Collaboration NO Me-too Latest hotness What the big guys are doing Unrealistic/overly complex Long lectures
  6. 6. Agenda 1. Introductions 2. Typical architectures 3. Identify where to make an impact 4. Identify requirements for a POC 5. Wrap up
  7. 7. data collectors bulk store batch process live store api service ui Datacenter AWSand/or “Analytic” queues & oltp *SQS redis or couch mongodb rdbms olap mongo Hbase Thrift/Protobuf/AVRO sockets style *messagepack based netty kafka *kinesis apps *elastic beanstalk ec2/vm + load balance emitters *messagepack *s3 ebs *HDFS cassandra columnar on file system M/R based (pig, hive) Graph based off file system anything language diy json mongodb *BaaSes postgres column Hbase/Impala *cassandra graph cypher gremlin search elasticsearch *stupid-simple-n-scale cloud/dc apps ec2/vm + load balance *elastic beanstalk sql-ish Phoenix Cassandra graph Gremlin Cypher search elasticsearch d3 nvd3.js - simple d3.js - complex dc.js - dimensions putting the long-A in OLAP
  8. 8. data stream process bulk store batch process live store api service ui Datacenter AWSand/or Stream just process storm spark + shark machine learning storm + trident spark + mllib
  9. 9. impact alignment = buy-in
  10. 10. Product Innovation/ Product Leadership Customer Relationships/ Customer Intimacy Infrastructure Mgmt/ Operational Excellence Economics Early market entry enables charging premium prices and acquiring large market share; speed is key High cost of customer acquisition makes it imperative to gain large wallet share; economies of scope are key High fixed costs make large volumes essential to achieve low unit costs; economies of scale are key Competition Battle for talent; low barriers to entry; many small players thrive Battle for scope; rapid consolidation; a few big players dominate Battle for scale; rapid consolidation; a few big players dominate Culture Employee centered; coddling the creative stars Highly service oriented; customer-comes-first mentality Cost focused; stresses standardization, predictability, and efficiency Business Business Model Generation
  11. 11. Product Customer Operations ==MARKETING== Who are your potential customers? What do they want? Brand loyalty? What’s next? e.g Customer seg/profile Market analysis Sentiment ==SALES== What motivates customers? Which channels work best? What else do they need? e.g. Engagement Churn Conversion Offers Channel attribution ==OPS== How long will X function? How much product? waste? Will Y be cheaper? e.g. Yield optimization Failure rates Futures Competing on analytics
  12. 12. Product focused problems ● Marketing ○ Keywords ○ Channel Attribution ○ Rev/Cost per channel ○ Targeting ○ Profiling ○ Markets (at large, PPC, etc.)
  13. 13. Customer focused problems ● Sales ○ Sentiment ○ Retention & Churn ○ Profile ○ Customer Support ○ A/B & Multivariate ○ Offers
  14. 14. Operations focused problems ● Ops ○ Failure rate ○ Yield optimization ○ Pricing & Costing ○ Time to ____ ○ Traveling Salesman ○ Backpack
  15. 15. Key Partnerships Key Activities PLATFORM MGMT MANAGING SERVICES EXPANDING REACH Value Propositions TARGETED ADS FREE SEARCH MONETIZING CONTENT Customer Relationships Customer Segments ADVERTISERS WEB SURFERS CONTENT CREATORS Key Resources SEARCH PLATFORM Channels Cost Structure PLATFORM COSTS Revenue Structure KEYWORD AUCTIONS FREE Business Model Canvas: Google Business Model Generation
  16. 16. Key Partnerships Key Activities Value Propositions Customer Relationships Customer Segments Key Resources Channels Cost Structure Revenue Structure Your Business Model Canvas Business Model Generation 12
  17. 17. Gain, Pain, & Google You GainGain Creators Pain Relievers Pain JobsProducts & Services FIND STUFF TOO MANY THINGS OFF TOPIC SAVE TIME PERSONALIZED CAPACITY TARGETING SIMPLE UI MAGIC WEB SEARCH
  18. 18. Gain, Pain, & Customer/Revenue-side Analytics You GainGain Creators Pain Relievers Pain JobsProducts & Services
  19. 19. Gain, Pain, & Partner/Cost-side Analytics Partner GainGain Creators Pain Relievers Pain JobsProducts & Services You
  20. 20. local to cloud M/R AWS
  21. 21. exercise identify key components related to pain(s)
  22. 22. Skullcandy Focus: Get more customers with online channel Know ● Who ● vs Competition Be able to ● Target ● Get in front Profile ● muses & personas
  23. 23. What must be true? What must be true in order to detect/identify/catch ___________________? ● know ● be able to ● profile (story)
  24. 24. … in order to get the info ● people ● data points ● resources
  25. 25. … in order to use it ● metric(s) or key results ● tools ● technology ● expertise
  26. 26. Wrap up Hope You & your organization will incorporate advanced analytics as part of your competitive strategy in your market.
  27. 27. Wrap up Belief Data & Advanced Analytics can be key in better aligning your business with strategic objectives and can be ideal for helping to measure key results in the course of meeting those objectives.
  28. 28. Wrap up Dare to dream ● Innovation as accepted norm in your enterprise ● Employees feel greater autonomy, mastery, purpose ● Shared, well defined, measurable vision and objectives ● Leaner, more productive organizations ● Delight customers
  29. 29. Thank You! info@ziff.io @ziffio Sponsors

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