Key Technological Trends driving Social CRM
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Key Technological Trends driving Social CRM



5 Key Tech Trends driving Social CRM by Dr. Harish Kotadia

5 Key Tech Trends driving Social CRM by Dr. Harish Kotadia

Twitter @HKotadia



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Key Technological Trends driving Social CRM Key Technological Trends driving Social CRM Presentation Transcript

  • Key Tech Trends driving Social CRMbyHarish Kotadia, Ph.D. Twitter: @HKotadia
  • Trend 1: Cloud Computing/SaaSCRM
    Social Media channels (like Twitter and Facebook) generate tremendous volume of user generated content created by millions of users. Not possible for CRM system to import/store the data “locally”. This is unlike “traditional” CRM, where data was generated by few users and stored in “local” database. SaaS Model makes it possible to store information in the “cloud” (shared space) and access it from (Social) CRM application “on-demand”
    Social Media space is changing and evolving rapidly. Very difficult, if not impossible, for any CRM vendor to incorporate all new channels and feeds “locally” for every installation of CRM system. Under the SaaS model, it is not difficult to add new Social Media channels/feeds to the “hosted” (Social) CRM application and make it available to users “on-demand”
    © Harish Kotadia, 2011 Twitter: @HKotadia
  • Trend 2: Service Oriented Architecture (SOA)
    Service Oriented Architecture (SOA) and Cloud Computing not only make it easy to integrate applications, but also facilitate “plug and play” modules and add-ons that can dramatically reduce time and cost involved in extending functionality of the application.
    SOA design is of great help in Social CRM as new social media tools and functionality can be added without expensive customization or upgrades as was the case in traditional CRM systems.
    © Harish Kotadia, 2011 Twitter: @HKotadia
  • Trend 3: Real Time “In Process” Analytics
    Predictive analytics has made it possible not only to analyze past customer behavior, but predict future behavior too based on statistical models. Predictive analytics logic/modules can be “embedded” in Social CRM work-flows to analyze and predict customer behavior from “real-time” social network data feed and take corrective action by triggering appropriate work-flows based on pre-defined business rules.
    For example, if a customer (or a group of customers) tweet about their dissatisfaction with a product or service, predictive analytics can help in identifying who among them are most likely to defect so that company can take corrective action before it is too late. And thanks to SaaS model and SOA, this level of real-time “In Process” analytics functionality is available to small and medium sized companies with no large scale investment requirements upfront.
    © Harish Kotadia, 2011 Twitter: @HKotadia
  • Trend 4: Smart Phones and Tablet PCs
    Mobile phones have evolved from “simple” telephones to mobile multi-media communication hub connected to internet via “always on” wireless broadband connection. This is going to be one of the big stories over the next couple of years that will fuel exponential increase in Social Networking Sites and their user base.
    Similarly, Tablet PCs, given their large hi-resolution screen with multi-touch input, Accelerometer sensor for UI, touch-sensitive controls and high speed internet access via 3G/4G or Wifi/WiMax have the potential to change the way we use Social Media tools and take Social Networking to a whole new level.
    Current Social Media tools such as Twitter or Facebook are “text” or “web-page” UI based. NextGen Social Media tools will leverage full range of functionality available in Tablet PCs and make media consumption for information & entertainment or playing online games a truly Social experience.
    © Harish Kotadia, 2011 Twitter: @HKotadia
  • Trend 5: Enterprise Apps & Data Mashups
    Adding Social Networks to Enterprise Application landscape increases complexity of integrating and managing all the applications exponentially not only because of amount of data generated by users on Social Networks but also the need to monitor and respond in “real time”. Enterprise Application and Data Mashups can solve this problem by combining data or functionality from multiple applications and presenting information in the required format in a seamless manner.
    In a Social CRM system for example, Enterprise Application and Data Mashups can be used to combine data/functionality from multiple applications such as CRM, MDM, ERP etc. and new services can be created “on the fly” or specific work-flows can be triggered based on pre-defined business rules in a user friendly way.
    © Harish Kotadia, 2011 Twitter: @HKotadia
  • Thank You
    © Harish Kotadia, Ph.D.
    June 2011
    Twitter: @HKotadia