We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Knowledge Management as Social CRM – Supporting Your Social Customer
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 > Social Data > Knowledge Management as Social CRM – Supporting Your Social Customer
Social Data

Knowledge Management as Social CRM – Supporting Your Social Customer

Jennifer Roberts
Jennifer Roberts
3 Min Read
Knowledge Management as Social CRM – Supporting Your Social Customer
Photo by MaximeUtopix on Pixabay (https://pixabay.com/photos/woman-man-laptop-mask-desk-work-5916335/)
SHARE

I was over at Wim Rapen’s blog the other day reading his post
Social CRM – What Relationships Should You Care For, And Why? His premise is that the way we look at Social CRM today puts companies very much in the center of the relationship with the customer. I think he has a valid point but what I thought was truly insightful was his emphasis on the way knowledge flows through a customer’s network.  He suggests  (for companies, at least) the emphasis should be less about managing the relationship and more about the flow of knowledge of information.

Looking at Social CRM from that perspective certainly turns the equation on its head a bit as the focus shifts to providing information to the customer and less about “likes”.   I don’t claim to know what Social CRM solution perspective is most effective; I think depending on the outcomes an organization is looking to achieve, their approach may vary considerably across industries. But I think it’s an interesting point to consider – using knowledge and expertise as the foundation for an engagement.

From this perspective, where I see organization most likely to succeed is based on their ability to aggregate and filter conversations for common problems and solutions from across social media platforms. They can then build a repository of tried and tested, accurate methods for solving problems, optimizing products or identifying resources for more information. I think they can almost provide the “certified answer” to customer’s question; the answer may not have originated with them but by  identifying, crediting and disseminating solutions that work is a chance for an organization to engage beyond standard outreach campaigns to both the consumer having the issue and the consumer providing the solution. Then not only are they providing access to verified solutions by becoming a participant in the discussion but they are nurturing the relationship ties within this particular group. There may also be an opportunity for them to provide added information (video tutorials, white papers) that extend the customer’s understanding beyond the needed solution.

Understanding your audience segment, including author information, can help organizations not only track the customer expressing a problem but also the customer expressing the solution. Ideally, the next step is ensuring the right message gets to the right customer – “here’s your solution” to one  and the “Thank you for your help. Interested in our beta project?” to the other.

More Read

Challenges of Working with Big Data: Beyond the 3Vs
Challenges of Working with Big Data: Beyond the 3Vs
Swimming with the Smarter Customer: The Speedo International Story
Facebook By The Numbers: Measuring My Friends On The Social Network
Changing Role of #CIO: Chief Information to Chief Insights Officer
WOW! Big Data at Google

It is an interesting idea because as Wim suggests it is “not the interaction or relationship, but the actual knowledge or outcome of the interaction that is of value to your Customer”.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is between aggregated workplace data (occupancy, environmental, feed
How Businesses Can Use Workplace Data to Create Better Office Environments
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive
Preparing Data Systems and Governance for a Scaling Global Gaming Brand -- AI-generated illustration
Preparing Data Systems and Governance for a Scaling Global Gaming Brand
Big Data Infographic
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns -- AI-generated illustration
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns
Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Goals and Metrics – Measuring Customer Engagement on the Web
CRMSocial Data

Goals and Metrics – Measuring Customer Engagement on the Web

18 Min Read
What the Launch of Social.com Shows Us
Big DataBusiness IntelligenceCloud ComputingCRMInside CompaniesITMarketingNew ProductsNewsSocial DataSocial Media Analytics

What the Launch of Social.com Shows Us

5 Min Read
Mobile Continues to Trickle in to the Military
Culture/LeadershipSocial Data

Mobile Continues to Trickle in to the Military

4 Min Read
Flat illustration of fitting room mirror and beacons feeding data to a central profile hub linked to online catalog and inventory.
Big DataBusiness IntelligenceCRMData MiningData VisualizationMarket ResearchMarketingNew ProductsSocial DataUnstructured Data

13 Retail Companies Using Data to Improve Online and Offline Shopping

16 Min Read

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

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?