Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Unifying Your Social and Private Data Analytics – Creating an Integrated Customer Data Hub
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Unifying Your Social and Private Data Analytics – Creating an Integrated Customer Data Hub
AnalyticsData MiningPrivacy

Unifying Your Social and Private Data Analytics – Creating an Integrated Customer Data Hub

Jennifer Roberts
Jennifer Roberts
4 Min Read
SHARE

Analyzing social media conversations, while critical to surfacing real-time customer considerations and preferences, represents only part of the equation to understanding your customer. It doesn’t include all of the potentially relevant details currently residing in your private data, which may provide important transactional details, customer service insights or support status updates that may influence how you engage with a specific consumer or audience segment.

Contents
Private & Social Data – You Need BothIntegrated Customer Hub

Analyzing social media conversations, while critical to surfacing real-time customer considerations and preferences, represents only part of the equation to understanding your customer. It doesn’t include all of the potentially relevant details currently residing in your private data, which may provide important transactional details, customer service insights or support status updates that may influence how you engage with a specific consumer or audience segment.

Social is just one side of the story. Click image to enlarge.

Private & Social Data – You Need Both

Feeding your private data into a real-time text processing engine can help you categorize your data to begin mapping emerging themes and trends to defined key performance indicators (KPIs). A consistent approach to how your organization manages both social and private data can extend your understanding of both your individual consumer and clearly-defined audience segment.

More Read

Package Update Roundup: Feb 2009
Decision management and automated recommendations
Top eCommerce Metrics for Online Businesses to Study with Analytics
6 Predictions About the Future of Predictive Analytics
Why Big Data Mining / Analytics is the New Gold Rush

Why did I mention categorization as a first step in analyzing your private data? Accurate categorization means that contextually-similar terms are grouped together; text about “Crocs” the shoes are separately categorized from “crocs” the reptiles. Sophisticate language processing techniques are able to disambiguate a term that is used in multiple contexts. Once you have a precisely filtered data environment, you can begin to isolate emerging trends, sentiment as it relates to specific KPIs or consumer profiles based on customer service transcripts.

Traditional Analytics. Click image to enlarge.

Integrated Customer Hub

Ultimately, creating a comprehensive view of your consumer requires integrating social and existing data. Whether the information comes from a survey, chat transcript or Facebook, the data can be analyzed and tracked to enable 1 to 1 or 1 to many engagements.

Integrated Consumer Hub. Click image to enlarge

For example, customer service chat transcripts could be analyzed and categorized to reveal common issues, product enhancement requests or emerging concerns. Details from product enhancement requests could be isolated and filtered to reveal the context of those requests. Resulting findings could be fed into a business intelligence system or workflow process to inform both other business units and strategic development efforts to work towards a solution.

Of course, how your organization ultimately shares and acts on this type of information is something that would need to be considered. Knowing how information is ultimately shared and managed is as important as organizing and correlating the data.

Ultimately, it’s recognizing that whether it’s social media or private data, each contains valuable insights that may not only provide your organization with a competitive advantage but also the ability to use the wealth of information you already manage.  Integrating both forms of data, however, is critical to providing a more complete view of your industry, your customer, and your competitors.  What type of text-based data would inform your integrated customer data hub?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Guest post: What is Data Mining – Explaining it to the Layman

6 Min Read
Predictive Analytics
Predictive Analytics

Why Every College Student Should Study Predictive Analytics

6 Min Read
analytical problem solving skills
AnalyticsBig DataExclusiveJobs

Here Are The Skills You Need To Work With Big Data

7 Min Read

Cross Platform Vulnerabilities Aiding Attackers: Big data analytics are key for security practices and more.

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?