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: SAS and Socialytics
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 > SAS and Socialytics
Business IntelligenceData Mining

SAS and Socialytics

mfauscette
mfauscette
5 Min Read
SHARE

SAS, a leader in business analytics, recently launched a new offering targeted around gaining business insight into the social web. Socialytics (which I explain in more detail here), is gaining momentum with several new or enhanced offerings available recently. I’m also getting a lot of questions from clients on the topic as they start to realize that creating and collecting social data is only a part of the picture. In a recent conversation with John Bastone from SAS I had the chance to explore their offering in greater detail.

Before I dive into the SAS solution, let me lay out what I think the key components are in a world class socialytics offering:

  • Ability to aggregate (listen to) social data from user selectable sources, both public and private web, internal and external to the business
  • Capability to apply natural language processing (NLP) and text analytics across multiple languages
  • Capability to identify and monitor influencers
  • Capability to monitor brand sentiment across a broad set of channels
  • Backend integration (API’s) to enterprise systems
  • Ability to perform analysis on the intersection of existing corporate data and social data
  • …


201005161400.jpg SAS, a leader in business analytics, recently launched a new offering targeted around gaining business insight into the social web. Socialytics (which I explain in more detail here), is gaining momentum with several new or enhanced offerings available recently. I’m also getting a lot of questions from clients on the topic as they start to realize that creating and collecting social data is only a part of the picture. In a recent conversation with John Bastone from SAS I had the chance to explore their offering in greater detail.

Before I dive into the SAS solution, let me lay out what I think the key components are in a world class socialytics offering:

  • Ability to aggregate (listen to) social data from user selectable sources, both public and private web, internal and external to the business
  • Capability to apply natural language processing (NLP) and text analytics across multiple languages
  • Capability to identify and monitor influencers
  • Capability to monitor brand sentiment across a broad set of channels
  • Backend integration (API’s) to enterprise systems
  • Ability to perform analysis on the intersection of existing corporate data and social data
  • “Out of the box” standard dashboards and metrics
  • Support and service offerings to help vendor clients customize the offering / metrics to specific business needs

Now let’s look at SAS and its new offering, what they call social media analytics. The stated design goal for the SAS solution was to integrate, analyze and enable organizations to make business decisions on intelligence produced from online conversations (professional and consumer generated). The product is delivered in a SaaS model. SAS designed the system to serve as a continuous listening post to the social web, collecting and archiving all targeted (as defined by the customer) social media. The solution can predict future conversations based on analysis of historical data and provide user defined flexible sentiment analysis. From the social information defined by the solution users can take action on predefined routings and can automate certain actions based on defined workflows. Here’s a marchitecture slide that shows the new system:

201005161434.jpg

SAS identifies four basic use cases for the socialytics platform:

1. Brand and market tracking

2. Customer feedback management

3. PR and reputation tracking

4. Online media analysis

In addition to the product SAS is providing a wide range of consulting services to assist clients in setting up the system to their specific requirements. I think this is a critical piece of the socialytics offering for any vendor and I applaud SAS for the completeness of their solution. Every client will have specific requirements that cannot be easily packaged and will need this type of consulting. In addition the wide range of inputs, both social and enterprise data is very broad and that variability alone will require quite a bit of planning. Socialytics is an emerging market and has the potential to provide a great deal of value to businesses. These solutions will be of particular interest to companies with high profile brands, high consumer engagement brands, strong internet marketing programs, and industries in highly competitive, global verticals.

 

TAGGED:socialyticsunstructured data
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

social CRM (sCRM) definition : CRM + aggregator + socialytics

6 Min Read

It’s data, Jim, but not as we know it – Part 1: What the echo of the Big Bang tells us about the nature of information

9 Min Read

Embracing Socialytics

5 Min Read

socialytics (so-shel-lit-iks) – the Holy Grail of social media

4 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?