Embed Size (px)
Citation preview
Unstructured & StructuredData Analytics
an Company
TECHNOLOGY | OPTIMIZED
ANEXINET+1 484-534-3689
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
Exa
byte
sEnterprise Intelligence Gap
Com
putin
g P
ower
Time
Available Data
Sensing Algorithms
EnterpriseIntelligence
Gap
ANEXINET610 239 8100
3
Sales
1st Qtr 2nd Qtr
3
Digital TransformationMobile Solutions & AppsUX, Web, Social & SEORisk Sensing & CRM
Customer Portals
Digital StrategyCustomer InsightsAdvanced AnalyticsUnstructured Big DataBusiness Intelligence
Mobile
CloudSocial
AnalyticsSocial Media Call Center Help DeskSurveyMobileInternal Data
Mobile ApplicationsUnbranded/Branded Websites
Reputation ManagementMarketing Campaigns
SEO
We Turn Insight into Implementation
ANEXINET610 239 8100
4
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 ModelsMachine 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
ANEXINET610 239 8100
5
Our Expertise: Transform Unstructured Data into Structured
5
Unstructured TextCategorized 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…)
ClaimsCostAuto Insurance
ANEXINET+1 484-534-3689
6
Unstructured/Structured Data Integration
Holistic Voice-of-the Customer
Drivers of Customer Attrition
Net Promoter Score Validation
Predicting Salesat Launch
Sales Data
Pre-launch online conversations of purchase intent, product
discussions, sentiment, voice of the customer
Product aspects tracked for marketing intelligence and
consumer sentiment
Post-launch conversations of customer experience, 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.
ANEXINET+1 484-534-3689
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
ANEXINET+1 484-534-3689
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
8
Implementation
Insight
SupplyChain Remediation
Local ReportedQuality Issues
ANEXINET+1 484-534-3689
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.
9
ANEXINET610 239 8100
10
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.
