Top Abortion Clinic in Muscat +918761049707!!!!!!!!!!! Get Cytotec kit availa...
Â
Digital Marketing Class: Big data
1. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Scope
⢠Data produced every 2 days = all data prior to
2003 ⌠Googleâs Schmidt
⢠Volume of Big Data, WW doubles every 1.2yrs
⢠90% of data was produced in last 2 years
⢠2012, everyday 2.5 exabytes of data created
⢠Increased digitization of communications &
transactions: mobile, IoTs
Digital Marketing alexbr.brown@gmail.com University of Delaware
2. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Generally
⢠Data versus actionable insights (Information)
â Orgs typically use small portion of data
⢠Good for increasing engagement with current
customers
⢠Increases lock-in
⢠Helps identify new products
Digital Marketing alexbr.brown@gmail.com University of Delaware
3. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Generally
⢠Useful when past is good predictor of future
⢠Provides real time insights (dashboards)
⢠Is it a revolution?
⢠Very buzzy, re: VCs etc.
⢠Example: Google Flu Trends
â Fall 2008
Digital Marketing alexbr.brown@gmail.com University of Delaware
4. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Data Sources
⢠Internet of Things (Sensors)
â Ex: Parking meters, Smart houses
⢠Machine to Machine networks: 250m 2014
â APIs versus Open Standards
⢠Data exhaust (ex. Social media)
⢠Clickstream data
Digital Marketing alexbr.brown@gmail.com University of Delaware
5. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Data Sources
⢠Location data
â In-store (iBeacon, sensors) and geo fencing
⢠Loyalty program data (Target)
⢠Transactional data (Krogers)
⢠Structured versus Unstructured data
⢠Primary to Secondary data (unimagined use)
Digital Marketing alexbr.brown@gmail.com University of Delaware
6. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Three Aspects
⢠Ingestion & Storage (cloud)
â cost
⢠Analytics
â value
⢠Visualization
â communication
Digital Marketing alexbr.brown@gmail.com University of Delaware
7. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Analytics
⢠Continuous
â Real-time reporting: Dashboards
⢠Predictive
â Netflix
â Google and house sales
⢠Sentiment
â Sales down, twitter chatter
Digital Marketing alexbr.brown@gmail.com University of Delaware
8. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Defining Big Data: 3 Vs
⢠Volume
⢠Velocity
⢠Variety
⢠Veracity (AP Hack âObama hurtâ)
Digital Marketing alexbr.brown@gmail.com University of Delaware
9. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Technology: Hadoop MapReduce
⢠Google Origins: MapReduce: indexing web,
examining user behavior to improve algorithm
⢠Yahoo! & Hadoop Open Source project
⢠Cornerstone technology for Big Data
â For now ? Googleâs Cloud Dataflow
⢠Makes Big Data more manageable
Digital Marketing alexbr.brown@gmail.com University of Delaware
10. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Technology: Hadoop MapReduce
⢠Cheap, scalable
⢠Fast
⢠Store, then figure out
⢠Open Source
â Cloudera
â Hortonworks
Digital Marketing alexbr.brown@gmail.com University of Delaware
11. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Cloud Computing
⢠Business and consumer markets
⢠Increasing volumes of data to manage &
interpret
⢠Mooreâs law
Digital Marketing alexbr.brown@gmail.com University of Delaware
12. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Cloud Computing
⢠Virtualization
⢠Variable cost
⢠Scalability and agility
Digital Marketing alexbr.brown@gmail.com University of Delaware
13. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Cloud Computing
⢠Run apps from anywhere, from any device
⢠Easier to upgrade apps
⢠Makes IT more accessible
⢠Software as a Service (SaaS)
â Ex: Salesforce.com
Digital Marketing alexbr.brown@gmail.com University of Delaware
14. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Cloud Computing
⢠Very buzzy re: VCs
⢠Key players: Google, Amazon, Windows Azure,
Oracle, IBM, Rackspace, Salesforce.com
⢠Privacy issues
⢠Data ownership and security?
Digital Marketing alexbr.brown@gmail.com University of Delaware
15. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Changes in Analysis
⢠Data starved to data abundance
â Too expensive, and not enough of it
⢠Samples and statistical significance
⢠Hypothesis driven versus Data driven: end of
theory?
⢠Correlations to design algorithms
Digital Marketing alexbr.brown@gmail.com University of Delaware
16. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Changes in Analysis
⢠Patterns in the data: relationships
⢠What versus Why?
â Amazon recommendations (risks ?)
⢠Causation versus Correlation (good enough)
⢠Limitation: we know what, but not why
Digital Marketing alexbr.brown@gmail.com University of Delaware
17. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Criticism
⢠Bias in data sources
â Ex: Twitter and election results
⢠Importance of human intuition
⢠Filter bubble
Digital Marketing alexbr.brown@gmail.com University of Delaware
18. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Algorithms
⢠A repeating set of rules, series of instructions
⢠Designed from the data, or purchased
⢠Predicts future, based on the past (Big Data)
⢠Input data unique, passes algorithm, output
unique (creates probability)
⢠Replaces human intuition: or mix of both
Digital Marketing alexbr.brown@gmail.com University of Delaware
19. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Machine Learning & Algorithms
⢠Increasing returns on data
⢠Designed into algorithm (real-time)
⢠Examples
â Google (search)
â Amazon (human editors versus algorithm) what, not
why
â Facebook (news feed)
â Netflix (recommendations)
â Zynga (data from game play)
Digital Marketing alexbr.brown@gmail.com University of Delaware
20. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Old World, New World
⢠Old World: Analogue, same content by
vehicle, medium, retail store
⢠New World: Digital, unique content driven by
algorithms to increase engagement and lock-in
Digital Marketing alexbr.brown@gmail.com University of Delaware
21. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Old World, New World
⢠New World Examples:
â Netflix
â Amazon
â In store retail experience w/ mobile app and
iBeacon technology (smart retail) Macyâs ?
â Target, pregnant teen
Digital Marketing alexbr.brown@gmail.com University of Delaware
22. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Unintended Consequence: Filter Bubble effect
⢠Human curated content versus serendipity
⢠Editors versus wisdom of the crowd
⢠Personal universe of online information
⢠Past clickstreams determine future choice:
information determinism
â Netflix, Amazon etc.
⢠Echo chamber effect
Digital Marketing alexbr.brown@gmail.com University of Delaware
23. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Unintended Consequence: Filter Bubble effect
⢠Echo chamber effect
⢠What we want to see, versus what we should see
â Amazon / Netflix recommendations (what, not why)
â Good enough recs. Versus risks ?
⢠Personalized: Google, Facebook etc.
⢠Personalization drives ad revenue
⢠Wikipedia is a standout
Digital Marketing alexbr.brown@gmail.com University of Delaware
24. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Privacy
⢠Law (and keeping up)
⢠Terms of Service (bargain) Binary choice
⢠Terms of Service: changes (for business model)
⢠Scope of reach: Facebook / Google
â EU: Right to be Forgotten ?
â EU: Privacy rules change, Google
⢠Tension, privacy versus personalization
⢠Opt in, versus Opt out: by default
â Org donations; Facebook Nearby
Digital Marketing alexbr.brown@gmail.com University of Delaware
25. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Privacy
⢠Knowledge of data collection: invisible
⢠Knowledge of data use (secondary: sometimes
unimagined)
⢠Creep factor (how did they know?)
â Ad retargeting
â Snapchat ?
Digital Marketing alexbr.brown@gmail.com University of Delaware
26. #buad477 follow @alexbrownracing http://www.udel.edu/alex/classes
Big Data
Privacy
⢠Combining data can de-anonymize
⢠Data brokers: reselling
â Acxiom
⢠Hacking, data theft (Target, Home Depot,
Kmart, etc.)
Digital Marketing alexbr.brown@gmail.com University of Delaware