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
    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
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Semantic Web, Part II: The Business Case and Customer Service Implications
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Inside Companies > The Semantic Web, Part II: The Business Case and Customer Service Implications
Inside Companies

The Semantic Web, Part II: The Business Case and Customer Service Implications

MIKE20
MIKE20
6 Min Read
SHARE

Contents
The Business CaseHow to StartThe Semantic Web and Customer Service

In part one of this series, I broached the semantic web and semantic technologies. I described how they differ from Web 1.0 and 2.0. In this second part, I’ll cover:

More Read

What Data Will Your Customers Share for Better Service?
Putting SharePoint Genie Back into the Bottle
How Good Management Can Produce Bad Data
Prezi Adds Real Time Collaboration
Email is Not Collaboration
  • The business case for implementing the semantic web:
  • How to start
  • How the semantic web is affecting customer service

Let’s go.

The Business Case

For any organization to adopt and embrace semantic technologies and the semantic web, a great deal of work is required.  Mitigating against its immediate adoption is the fact that the benefits of the semantic web are long-term in nature. In other words, an organization won’t adopt begin to these technologies and see benefits tomorrow. What’s more, the semantic web is also subject to Metcalfe’s Law which states that networks are exponentially more powerful as more people use them. Naysayers will argue that, until more people embrace the semantic web, its utility will be limited. While not necessarily wrong, this mode of thinking tends to be myopic; just because something isn’t here yet certainly doesn’t mean that it isn’t coming.

With that disclaimer out of the way, there are significant benefits to embracing the semantic web. They include:

  • Increased knowledge
  • Business development
  • Better decisions
  • Access to better information sharing and discovery
  • Superior administration and automation

For more on the specific benefits of the semantic web, click the DevX article here or the W3.org article here. Because these types of projects can be admittedly a bit daunting, it’s easy for some to dismiss their importance, especially in the short-term. Fortunately, there are many tools for enabling the semantic web within any given enterprise, including those within the MIKE2.0 framework.

How to Start

There are so many semantic technologies and so many applications that it’s hard to succinctly write a pithy section on exactly what to do and how to do it. A health care organization trying to enable semantic technologies will face different challenges than a company like technology company such as Twitter. The latter has recently introduced Annotations in an effort to give its tweets more context.

I can say, however, that it’s important to keep the following in mind:

  • Start small – This is a marathon, not a sprint. Think Agile, not Waterfall.
  • Get familiar with terms – If you haven’t heard of RDFs, metadata, ontologies, and so on, do some research.
  • Clean up your data – In order to data to have meaningful context, it must be accurate. This does not magically disappear with the semantic web.
  • Focus on your ultimate objective – Short-term sacrifices and poor decisions plagued many Enterprise 1.0 projects. I should know. I wrote a book about them. As Stephen Covey says, begin with the end in mind.

What’s more, Twitter’s adoption of semantic technologies will eventually allow tweets to convey a great deal of information, as Matthew Ingram recently wrote on GigaOM. If 140 characters with “going for coffee” can have meaning, then what does that say about health records, customer preferences, and geolocation information?

The Semantic Web and Customer Service

I asked  David Siegel, author of the fascinating book Pull: The Power of the Semantic Web to Transform Your Business, about the impact of the semantic web on customer service. Siegel says:

Over the next ten years, all industries will switch from the vendors making the rules to the customers making the rules. This sounds like marketing-speak, but when your customers hand you a data format and tell you if you don’t switch you’ll lose their account, you may need a neck brace just to keep up with their demands.

Your customers are about to require you to let them move their entire account to another company, or to their own personal data lockers. This is great for companies offering superior value – it will be easy for customers to switch to them. It will be a nightmare for companies with a ‘roach motel’ marketing strategy – your customers will be able to leave in a second. It’s happened to IRAs and some areas of insurance – it’s coming to every service in every business sector. While this sounds disruptive to vendors, it’s really business-continuity for consumers.

Look, adopting semantic technologies is no small endeavor. Know this from the get-go. Rather than just jumping right in, ensure that the internal business case can be effectively made, people understand what’s ahead (from timing, resource, and budgeting standpoints), and sufficient funds are available. What’s more, take advantage of the case studies, examples, and resources already out there.

In the next part of the series, we’ll focus on the semantic web and complementary technologies.

TAGGED:customer service
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Upstream Works Helps Customer Service Agents Improve Efficiency and Effectiveness

7 Min Read

What Did Maslow Know About Customer Centricity? It Ain’t Happening!

4 Min Read
chatbots in customer service
Artificial IntelligenceExclusive

Big Data Leads To An Impressive Array of Chatbots In Customer Service

7 Min Read

KPI framework for a competitive edge

7 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?