impulsar el negocio de los medios de comunicación gracias al big data con ibm @ big media by...
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Impulsar el negocio de los medios de comunicación gracias al Big Data con IBM. Presentación de Elisa Martin Garijo, Chief Technology IBM Spain @ElisaGarijo Primer encuentro BIG MEDIA Conectando Media, Audiencia y Publicidad con Datos 24 de junio 2014, Madrid • Sponsor Platinum : Perfect Memory • Sponsor Gold : Stratio, Paradigma • Con el apoyo de : Big Data Spain, Medios On • Socio tecnológico : Agora News • Organizadores : Actuonda y Cátedra Big Data UAM-IBM • Contacto : Nicolas Moulard (Actuonda) [email protected] @Radio_20 www.bigmediaconnect.esTRANSCRIPT
1 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Enhancing The Championships’ experience for players, coaches and fans around the world.
“By using Wimbledon focused social media feeds to better understand fans, customers, in real time, we are enabling AELTC to better manage their digital presence and understand how its brand is perceived.” and “ providing a better experience to fans we help them to achieve their mission of being the best tennis
tournament in the world. Seddon, IBM Client Exec, Added “
“We continue to look for new ways to innovate and strengthen our leadership
position in the sports industry, and one of the ways we will do this is by delivering content and information about The Championships to fans in the way that they want to consume it, no matter where they are,” said Mick Desmond, Commercial Director at AELTC
Innovations in:
Redesigned interactive mobile experience for Wimbledon fan
Enhanced IBM SlamTracker -For 2014
Cloud-based Predictive Analytics
Evolving topics
Key social statistics
Player conversations
Social heat-map
Hill vs World
Social court
Influencers
Wimbledon Sentiment
Wimbledon Social Command Centre
Mobile
AnalyticsSocial
Cloud
2 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Impulsar el negocio gracias al Big Data
Audience Insight Analytics for Media & Entertainment
3 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Questions & Open Discussion
Agenda at-a-glance
Understanding Industry Tends & Technology Barriers
Moving towards a Next Generation Audience Insight
Case Studies in M&E
Examining IBM’s Analytics Approach
4 IBM GBS– Digital Marketing| © 2014 IBM Corporation
5 IBM GBS– Digital Marketing| © 2014 IBM Corporation
A new context of interactionThe market is setting a new agenda that is impacting in the basis of the business
Hyper-DigitizationThe dramatic increase in digital content accelerates the growth of industries, markets and digital segments.
Social changeClients are changing behaviors and the way they interact, collaborate and contract with entities.
AnalyticReal-time and predictive analysis create business value from massive data available at present.
Mobile revolutionConnectivity, access and people participation and things exploding with the proliferation of new mobile and smart devices
6 IBM GBS– Digital Marketing| © 2014 IBM Corporation
4 out of 10Smart phone users make purchase researches.
86%of the consumers use more than one channel
Average spend of multichannel buyers is
4 to 5 times more.
45%of the clients ask a friend before purchasing.
78%of the consumers rely on the advice of their environment.
80%of CEOs think they provide a Superior Customer Experience…
44% of the companies use client´scrowd sourcing.
…only 8%of their clients agree with that.
A new context of interactionAfter a short period of time, already exists quantitative and qualitative indicators of these impact.
vs
7 IBM GBS– Digital Marketing| © 2014 IBM Corporation
A new context of interaction
250 millions.. tuits per day.
300 millionsimages in facebook
8.000 M$.. of Social Media investments plan for 2015
20%..of the time use by each person in the computer, is dedicated to social networks
800 million…Facebook actualizations daily
90%..of companies with more than 100 employees have online marketing plan.
3.200 million.. daily likes and comments in Facebook.
Social networks are not a fad, continue to develop and hogging all population segments.
8 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Industry trends have raised the stakes for M&E companies to know and cater to their audiences
Increasing demand by advertising brands for deeper insight on audiences and associated affinity/spending habits.
The growing adoption of social tools enabling audiences to connect/discuss, identify latest buzz, and build an identity around a TV shows.
Explosion of digital devices is fueling the growth of video on demand across multiple digital channels and VOD platforms.
Need the ability to "slice and dice" a broader and deeper set of audience profiles within and across TV shows.
Growing opportunity to directly observe. learn, and influence audience sentiment and behavior around TV shows and related lifestyle activities.
Growing importance of cross-platform audience measurement, in day-to-day business (audience research, marketing, ad sales, etc).
March Madness digital
viewing generates
$60 Million in Ad Sales for Turner, CBS
Digital Viewing
"People don't want to think
about whether the [Nielsen ratings] data is true or not…”
– Stelter, NYT
A McKinsey report pegged the
untapped business value of social technologies at $1.3
trillion
Advertiser Demands Social Influence
Tre
nd
Implic
ation
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M&E companies face key technology barriers in utilizing data and analytics to better understand consumers
Disparate data repositories, actionable intelligence systems, and organizational knowledge.
Limited or difficulty in sharing data and long cycle times to develop ad hoc reports.
Sheer volume and semi-structured/unstructured nature of new digital data sources (log files, social media, etc)
Difficulty capturing, conditioning, and integrating growing complexity of linear and non-linear data sources.
In-ability to leverage domain knowledge of business users directly in the data discovery and analysis processes
Slower iteration cycles for data analysis, limited or missed opportunities for analytics insights
Legacy information technology, tooling, operations, and data strategies not optimized for new analytics business requirements
High level of effort, costs, time required to collect, condition, analyze, and derive insights from data.
ResultChallengeTechnology Barriers
Big Data
Disparate Actionable Intelligence Systems
Business User Integration
Analytics Feasibility
No Single View of Consumer
Consumers generate a lot of behavioral data but information is stored in disparate data repositories.
Limit decision makers from accessing and leveraging all collected data, and constrain business effectiveness.
10 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Siloed to shared data
Discrete platform to multi-platform actionable
intelligence
Reactive to predictive decision making
Ad-hoc analysis to BI-enriched core business
functions
Detailed 360 Degree View of Consumer
Audience Insight Analytics enables a transformation across five principles, addressing key technology barriers
Current StateFuture State
Marketing Ad Sales Distribution
Marketing
Ad Sales
Distribution
Programming
Internet Mobile App TV
Cubes
Streams
BigInsights Business
Analytics
Applications
Multi-Platform
Principles
Cross Enterprise SharingCross Enterprise Sharing
Multi-platform MeasurementMulti-platform Measurement
Actionable IntelligenceActionable Intelligence
Predictive AnalyticsPredictive Analytics
360 Deg. Audience Profiling360 Deg. Audience Profiling Marketing
DB
Consumer
Info
Digital
Activity
Unified
Consumer
View
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Shifting Consumer DemographicsData and Device Explosion Social Media
A global world connected in real-time means new challenges
Disruptive Competitors and New Business Models
How can we face these new fundamental changes that are
transforming clients, business and the world……..
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mobile phones in use
Volume Velocity Variety
5 billions
Serve targeted promotions
across channels, in real-time based on customer history,
location/current transaction
and behavioral patterns to
increase satisfaction, sales
and margins
Analyze entire Call Data Record
volume to detect and correct product quality issues, services
problems and emerging trends
Analyze all types of online
information and understand consumer sentiment to grow
revenue, enhance reputation
and improve customer
experience,
are images, video, documents…80% Data increase
call detail records per day500 millions
… levering the competitive advantage of the data analysis available we generate a relevant message
13 IBM GBS– Digital Marketing| © 2014 IBM Corporation
..obtaining information to transform marketing
InteractionInformation Strategy planification
Smart chains are harnessing the power of analytics to reinvent the total brand experience and serve the evolving consumer while driving profitable growth
14 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Questions & Open Discussion
Agenda at-a-glance
Understanding Industry Tends & Technology Barriers
Moving towards a Next Generation Audience Insight
Case Studies in M&E
Examining IBM’s Analytics Approach
15 IBM GBS– Digital Marketing| © 2014 IBM Corporation15
maturity
va
lue
Deliver Smarter
Customer Experiences
Engage consumers in an ongoing dialogue with the right message at the
right time and place
Continuous Dialogue
Deliver personalized recommendations tailored to each consumer and sync
messages across channels
Personalized Interactions
Optimize messages and offers to deliver targeted communications
across relevant channels
Precision Marketing
Understand consumer purchase behavior, preferences, motivations
and interactions
Predictive Insight
Capture and consolidate data about consumers across touch points for
insights and decisions
Integrated Information
Most organizations are in the beginning of a customer analytics journey aimed at discovering insights and driving relevance
• Orgs aspire to key imperatives but few
are taking tangible steps
• We’re moving toward “Continuous
Dialogue”, however, few believe the
time is right now
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Transform current media research & reporting to a Next Generation Audience Insight
va
lue
maturity
Cross Enterprise Sharing
Multi-Platform Measurement
360 Degree Audience Profiling
Actionable
Intelligence
Predictive Analytics
Build audience profiles from multiple sources for a complete view of lifestyle, affinity, and spending behaviors
Enable business users to directly perform analysis and discovery integrating actionable
audience insights into existing business functions
Measure and combine both linear and digital audience viewing consumption, engagement, and other media behaviorsCross Enterprise Sharing: Move from
siloed data repositories to a shared information platform
Vision: A cross-enterprise information
platform to analyze multi-platform media
behaviors and get a true 360 degree view
of a TV show's audience.
Move from reactive decision making to
scenario planning and forecasting
© 2013 IBM Corporation
Questions & Open Discussion
Agenda at-a-glance
Understanding Industry Tends & Technology Barriers
Moving towards a Next Generation Audience Insight
Case Studies in M&E
Examining IBM’s Analytics Approach
18 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Case Study 1: A broadcast TV client needed to share and understand audience data across the enterprise
Differentiate the consumer experience
Audience analytics for enhanced ad targeting
Understand consumption patterns to optimize content and
distribution
Shared Data Repository
Data Discovery
Multi-platform measurement,
audience analysis and ad sales
“TV Anywhere” mobile app
adoption and usage insights
Productivity gains and operational efficiencies through increased intelligence
19 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Case Study 2: Generating audience insight and engagement for a major film studio
Jan 1
Super Bowl
Monitoring Period Feb 5th
Golden Globes NFC Championship
Structured Unstructured
1. Create audience profiles 2. Extract insights 3. Use insight to drive business
decisions
� 1.1B tweets � 5.7M blog and
forum posts� 3.5M relevant
messages� 97K referencing
The Avengers� 18K referencing
John Carter
� Buzz and sentiment� Gender, Location and
Occupation� Avid movie-goers, comic
book fans� Intent to see specific films� Specific attributes of the
film/trailer
Data Set Information extracted
Demographicdata
Transactiondata
Interactiondata
Behavioraldata
Transactions
Orders
Paymenthistory
Usage history
Email / Chat
Call center notes
Web click-
streamsIn-person dialogs
Opinions
Prefer-ences
Desires
Needs
Character-istics
Demo-graphics
Attributes
Purchasestage
20 IBM GBS– Digital Marketing| © 2014 IBM Corporation
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Case Study 3: Move from a demographic view of audience to psychographics that advertisers covet
inventive/curious vs.
consistent/cautiousfrie
nd
ly/com
pa
ssion
at
e vs. co
ld/u
nkin
d
outgoing/energetic vs.
solitary/reserved
eff
icie
nt/
org
an
ize
d v
s.
ea
sy-g
oin
g/ca
rele
ss
sensit
ive/nervous v
s.
secure
/confid
ent
Big 5 (OCEAN) Personality
Map the use of words, frequency, & correlation
with Big5 based on LIWC++
“Agreeableness” wonderful (0.28), cost (-0.23) …
Information is revealed through
status updates
Useful information is known to
members of social networks
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Case Study 4: A mobile carrier uses social profiles and predictive insights to dynamically target consumers
Track consumer behavior (geo-
location) and capture product
preferences
Link predictive analytics engine
to campaign management
system
Dynamically target consumers
with personalized offers
Systems-driven engagement meets advertising
22 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Questions & Open Discussion
Agenda at-a-glance
Understanding Industry Tends & Technology Barriers
Moving towards a Next Generation Audience Insight
Case Studies in M&E
Examining IBM’s Analytics Approach
23 IBM GBS– Digital Marketing| © 2014 IBM Corporation
The big data era introduces several opportunities for M&E companies to introduce new offerings and improve operational efficiency
How can Customer “Big Data” drive business results?
Big Data Sources Big Data Opportunities+ =� Understand Audience Sentiment (e.g. movies/TV
shows, franchises, or media services)
� In-Depth, 360 Audience Profiling (Cross-Channel,
Behavioral Segmentation, etc)
� Predict Audience Behavior (e.g. Churn, Purchases,
Views, etc)
� More Precise Audience Targeting (for BOTH
Marketing, Advertising, etc)
� Enable Multi-Channel Content Personalization
� Improve News Discovery
� Improve Editorial Scale (e.g. dynamic, rules based
publishing)
Big Data Tech
� Natural Language Processing (Text, Semantic Analytics)
� Data Fusion & Sensemaking
� Entity Integration (People, Relationships, Events, Content, etc)
� Massive Scale Predictive Analytics
� Massive Scale Machine Learning
� Stream Computing
� Video Analytics
� STB, 2nd Screen, & Mobile Video Events
� Browser Mobile App Activity Logs
� Free Text, e.g. Social
� Geo-Spatial (GPS or IP)
� 3rd Party Data Feeds
� Content Repository Metadata
� Video, Images, & Audio
24 IBM GBS– Digital Marketing| © 2014 IBM Corporation
INDUSTRY LEADERS
Forming cross-functional business teams to focus on strategic issues
Creating sandbox environments
Using visualization and discovery tools to explore data and test its value
Evolutionary insights that are shared across the teams
Continuous experiments and micro-releases to the business users
INDUSTRY LAGGARDS
Begin with massive data cataloging exercises
Siloed efforts in each department with arguments over ownership
Treating it as a IT problem vs. a business opportunity
Stuck in the old waterfall method of development thinking
Looking for the perfect answer vs. a better one
M&E Leaders VS. Laggards: where do you stand?
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IBM Big Data Analytics in action
� Social Data
� Customer Service Data
� Operational Data
� Demographic/Social
Capital Data
� Transactional Data
� Organizational Data
� Environmental Data
� Customer satisfaction
Data
� Crisis Management
� Customer Support
� Market Research
� Measurement Data
Integration
� Monitoring/Outreach
� Knowledge
Management
� Influence
� Campaign Management
FROM TO
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27 IBM GBS– Digital Marketing| © 2014 IBM Corporation
Open Discussion
Organizadores Sponsor platinum
Sponsor Gold Con el apoyo de Socio tecnológico
Nicolas Moulard, Director de Actuonda
Tel : +34 699 248 200
@Radio_20 www.bigmediaconnect.es