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© 2013 IBM Corporation1
Drive Actionable Business Insights from Social Media
© 2013 IBM Corporation2
Agenda
• Is there Social Media ROI
• Social Media and the future
• Framework for Social Media Analytics
• Use Cases – Leveraging Analytics
• Bringing it together
© 2013 IBM Corporation3
Today, companies primarily focus on external social media; moving ahead, social activities will continue to spread across the organization
© 2013 IBM Corporation4
Today, companies primarily focus on external social media; moving ahead, social activities will continue to spread across the organization
© 2013 IBM Corporation5
Succeeding with Analytics: Where is the growth?
Source: Institute for Business Value, Business of Social Business Study, Q1. Which functions within your company are applying social business practices today and which are planning to apply them within the next two years? Global (n = 1161)
Top functions applying social approaches
Marketing
Public relations
Human resources
Sales
Customer Service(call center)
IT
67%
54%
48%
46%
41%
38%
75%
64%
62%
60%
54%
53%
Today Next two years
29%
30%
42%26%
19%
12%
Percentage growth from base
© 2013 IBM Corporation6
The number of initiatives that connect employees with external parties will rise significantly
Source: Institute for Business Value; Business of Social Business Study, Q8.4a. For which activities is your organization using social business approaches today, and what isit planning to do within the next two years? Financial Markets (n = 25). 1 Based on responses from individuals having personal experience with workforce-related social business activities
Uses of social business1
Today Next two years
Enable customer interaction
Enable vendor/ partner interaction
Leverage external talent (e.g., crowdsourcing)
50%17%
46%22%
25%13%
Customers
PartnersVendors/ Suppliers
Workforce
Company
Staffing
Procurement
Supply chain management
Recruiting
Onboarding
Talent development
Marketing
Sales
Product and service innovation
Service
Business development
Education
Sales and service delivery
© 2013 IBM Corporation7
IBM Social Media Analytics targets a Multitude of Business Issues driving actions
© 2013 IBM Corporation8
IBM Social Media Analytics targets a Multitude of Business Issues driving actions
MarketingMarketing
Customer ServiceCustomer Service Product DevelopmentProduct Development
Human ResourcesHuman Resources
RiskRisk
Supply ChainSupply Chain
SecuritySecurity
© 2013 IBM Corporation9
IBM’s Framework is Key to: Engagement, Product Development and Partnering
Social Media Impact
Social Media RelationshipsSocial Media Discovery
Social Media SegmentationARE WE MAKING THE RIGHT
INVESTMENTS IN PRODUCTS/SERVICES, MARKETS,CAMPAIGNS EMPLOYEES,
PARTNERS?
ARE WE REACHING THE INTENDED AUDIENCES - AND ARE WE
LISTENING?
WHAT NEW IDEAS CAN WE DISCOVER?
WHAT IS DRIVING SOCIAL MEDIA ACTIVITY, BEHAVIOR AND
SENTIMENT?
• Share of Voice• Reach• Sentiment
• Geographics, Demographics• Influencers, Recommenders,
Detractors• Users, Prospective Users
• Affinity• Association• Cause
• Topics• Participants• Sentiment
© 2013 IBM Corporation10
USE CASES
© 2013 IBM Corporation11
Social Media Analytics is about Business
1. Brand Reputation2.Messaging3.Campaign
Management4.Competitive
positioning5. Identification of key
influencers
1.Company Reputation2.Attracting key
professional talent3.Attracting College talent4. Identifying key reasons
for attrition5. Identification of key
influencers
1.Partner Reputation2.Union members wants3. Identify key managers
online conversations4.Reputational risk5. Impact of my
customer's reputation
Risk Manager
© 2013 IBM Corporation12
Recruiting Director
© 2013 IBM Corporation13
Clear Targets: Be an Opportunity Finder
IBM Social Media Analytics
© 2013 IBM Corporation14
Bring Social Media information external and Internal for an integrated approach to managing Employee Retention
Proactive follow-up
SegmentSegment PredictPredict
ERP
Recruiting
Learning
Succession
External
Understand and Respond to any potential
separation Risk.
Separation Risk…
LearnLearn
Analyze Performance and Identify Potential RisksAnalyze Performance and Identify Potential Risks
UnderstandUnderstand ActActMonitorMonitorSMASMA
© 2013 IBM Corporation15
A Real Example
© 2013 IBM Corporation16
The Story & Approach
Ran a Social Media Analysis for our companies smart phone issues we found out information on users, attributes of our smart phone they liked (i.e. screen size, data and etc.) and what they liked about competitor smartphones.
Ran a Social Media Analysis for our companies smart phone issuesRan a Social Media Analysis for our companies smart phone issues we found out information on we found out information on users, attributes of our smart phone they liked (i.e. screen sizusers, attributes of our smart phone they liked (i.e. screen size, data and etc.) and what they liked e, data and etc.) and what they liked about competitor about competitor smartphonessmartphones.
• Configured to look for different conversations on gaming, reading e-books, saving money, etc.• Concepts, Hotwords, Positive and Negative terms • SMA data aggregated by Author, Hotwords
• Features - Accessory, Apps, Battery, Reception, Screen, Price, Memory.• Concepts - Segments: Gamers, Traveler, Money Savers, Parents, Reader, Health-Conscious, etc.
Used Predictive Analytics to Drive SegmentationUsed Predictive Analytics to Drive Segmentation
SMA – Social Media Analytics Predictive Analytics
© 2013 IBM Corporation17
Created Segments via Cluster Analysis (K-means)
A five cluster solution showed clear delineations between user personas:
Cluster 1: “Casual Gamer” – High mentions of Apps, but less concerned about Battery and Reception than the “Readers”
Cluster 2: “Power Gamers” – Majority in Segment “GAMER”, also highest mentions of Apps and Accessories
Cluster 3: “Price Conscious” – Highest number in “MONEYSAVER” segment, also highest number of mentions about “price”
Cluster 4: “Ambivalent” – Few mentions of any features
Cluster 5: “Readers” – Most fell into “READER” segment, also highly concerned with battery, reception, and memory
© 2013 IBM Corporation18
Smart Phone User Personas
SPSS Modeler identifies clusters and maps the authors in social media to personas established from the SMA concepts and hotwords.
© 2013 IBM Corporation19
Apply!
Segmentation Model
Call CenterBetter call
handling and next offer
R&DProduct
development
Campaign Management
PartneringWhat coverage is most likely to
please?
© 2013 IBM Corporation20
Another Example: Banking
Banking Risk Officer
Small Business Loan Portfolio
Segment by types of Business (i.e. restaurants)
Identify positive/negative
reviews
© 2013 IBM Corporation21
Generate ROI: Social + Surveys + Predictive Analytics From anonymous insights to specific actions with specific people
1. Analyze social contribution
2. Determine segment profiles
3. Survey looking for characteristics of preferred segment(s)
4. Outreach to specific people in target segments
© 2013 IBM Corporation22
Summary
• Do not silo Social Media; absorb it into analytics
• Where is your organization on the Framework? Continue to evolve!
• Identify use cases that benefit with the addition of social data
• Apply it and iterate!
© 2013 IBM Corporation23
Thank You!
© 2013 IBM Corporation24