Learn how high performing companies are integrating unstructured and structured data become customer-centric, gain actionable insights and drive results. Achieve market and operational intelligence to predict business outcomes, improve business performance, and detect reputational and operational risks.
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The Massive Growth in Unstructured Data
2
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
2013 2014 2015 2016 2017 2018 2019 2020
Structured Data Unstructured Data
Source: IDC The Digital Universe, Dec 2012, and IBM Jeff Jonas 2013
Worldwide Data Growth
80% of Data Growth is Unstructured
Exabytes
Enterprise Intelligence Gap
ComputingPower
Time
Available
Data
Sensing
Algorithms
Enterprise
Intelligence
Gap
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3
Sales
1st Qtr 2nd Qtr
3
Digital Transformation
Mobile Solutions & Apps
UX, Web, Social & SEO
Risk Sensing & CRM
Customer Portals
Digital Strategy
Customer Insights
Advanced Analytics
Unstructured Big Data
Business Intelligence
Mobile
CloudSocial
Analytics
Social Media
Call Center
Help Desk
Survey
Mobile
Internal Data
Mobile Applications
Unbranded/Branded Websites
Reputation Management
Marketing Campaigns
SEO
We Turn Insight into Implementation
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Unstructured Data
Structured Data
Internal Sources
• Email
• Call Center Transcripts
• Forums, Blogs …
External Sources
• Social Media
• Forums, Blogs
• Open-End Surveys …
Internal Sources
• Products, Sales
• Point of Sale
• Mobile Apps
External Sources
• Industry Research Data
• Financial Market Data
• Competitor Data
Text Mining & Data
Integration Platform
Proprietary Models
Machine Learning
Custom Analytics
Dashboards & Alerts
Insights & Analysis
Reporting
Automated Feeds
to Other Systems
ListenLogic Integrated Data Analytics & Insights
Risk
Sensing
Customer
Insights
Predictive
Analytics
Brand
Tracking
Insight Solutions
We provide market and operational intelligence from all forms of unstructured data and integrate with structured data
to predict business outcomes, improve performance, and detect risks
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Our Expertise: Transform Unstructured Data into Structured
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Unstructured Text
Categorized metadata
appended to each text string
(Based on custom modeling)
(Theme n, Issue, Sentiment, Attitude,
Behavior, Business Unit, other…)
(Social media, call center notes,
survey, email, documents, etc…)
Claims
Cost
Auto Insurance
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Unstructured/Structured Data Integration
Holistic Voice-of-the
Customer
Drivers of
Customer Attrition
Net Promoter Score
Validation
Predicting Sales
at Launch
Sales
Data
Pre-launchonlineconversations
ofpurchaseintent,product
discussions,sentiment,voiceof
thecustomer
Productaspectstrackedfor
marketingintelligenceand
consumersentiment
Post-launchconversationsof
customerexperience,product
usage,reviews,marketing
Combine multiple feedback
channels (social, help
deck, survey, call center) to
understand switching, at-
risk customers, critical
issues that are driving
customer decision-making.
Integrate Net Promoter
Score survey responses
with customer transaction
data (via cust IDs) to
validate responses and
correlate outcomes:
NPS score, age, geo,
tenure, previous provider.
Integrate contact center,
survey, help desk, internal
documents with customer
transaction data to
correlate outcomes and
determine drivers of
attrition: by touchpoint,
then by age, geo, tenure,
previous provider.
Predict sales at product
launch and adjust
marketing messages by
integrating sales and social
media data. Use historical
comparable launches to
inform model and track
throughout launch.
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Social Case Study: Segmentation Analysis
7
Objective: Allergy medication manufacturer
wanted to understand the patient segments that
exist online for its upcoming OTC launch
Approach: Through ListenLogic social media
segmentation analysis, the client learned of an
entirely new segment, coined "Antihistamom”,
a.k.a. Mom as a caregiver
Results: Client tailored launch plans to the
Antihistamom segment through a Facebook
campaign and through a mobile pollen iOS app;;
increasing social engagement Qtr-to-Qtr.
Insight
Implementation
2
Social Campaigns Mobile App
New Segment
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Contact Center Case Study: Food Manufacturer Call Center Analytics
Objective: Global food manufacturer wanted to
better understand customer complaints expressed
through the Company’s contact center to optimize
business performance
Approach: Unstructured/Structured Data -
ListenLogic created a 50+ category ontology to
classify the contact notes and voice recordings
from the past 6 months in its SaaS platform
Results: Client discovered locally high
concentrations of customer packaging complaints;;
determined to be a supply chain issue with a
regional plant and improved product quality in the
region after remedying
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Implementation
Insight
Supply Chain
Remediation
Local Reported
Quality Issues
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Data Integration Case Study: Customer Attrition Analyses
Client & Challenge: Client wanted to mine 10
million annual open-ended survey responses to
provide actionable insights into customer attrition
Solution: Unstructured/Structured Data
ListenLogic created ontology to categorize open-
ended text into 3-tier insurance-based taxonomy,
over 150 data classifications for 4 datasets.
Results: Client identified high churn in its
millennial segment and the preference for online
self-service vs call center. Client enhanced online
help desk to address segment need.
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About Anexinet Corporation
CLOUD PRODUCTS SERVICES
STRATEGY DIGITAL TECHNOLOGY
Recognized by:
10
TECHNOLOGY OPTIMIZED
An award-winning professional consulting and services
company, providing a broad range of services and
solutions around digital disruption, big data analytics,
and cloud strategies.