Uncover Hidden Insights from Unstructured Data for Better Business Decisions
Date : 03 Oct 2016
Presenters : Swaroop Johnson, Consultant (Analytics) | Thariq Khalid ,Senior Data Scientist - Course5
With the exponential growth of social media and new touchpoints, customers are interacting with brands and organizations at a much faster pace, generating volumes of unstructured data in the form of customer reviews, feedback, preferences, trends, etc. Other metadata such as demographic data, transaction data or point of sale data, when combined with unstructured data can help organizations better understand consumer behavior and market forces, at a much more granular and deeper level. This enables brands to make effective business decisions for profitable growth.
In this webinar, attendees learned how unstructured data analytics adds value, reduces time and costs in the identification of key business problems, and helps organizations track the health of their brand image by monitoring emerging trends and identifying aspects of the business responsible for a particular customer sentiment.
The webinar also covered and introduced our Unstructured Text Analytics Platform ("UTAP") which allows the automation of classification of unstructured text data to categories, enabling organizations to track customer categories/issues over a stipulated period of time, with faster and more efficient analysis of unstructured text data.
Product Head Consultant(Analytics)
Swaroop Initiates and leads a team of data scientists and consultants towards end to end product development using machine learning &natural language processing algorithms for an i Read More...
Swaroop Johnson - Product Head Consultant(Analytics)
Swaroop Initiates and leads a team of data scientists and consultants towards end to end product development using machine learning &natural language processing algorithms for an in house unstructured data analytics product. He provides proactive consultation on analytics engagements in various industry verticals by understanding client problems, &identifying most suitable approach and contributes to thought leadership in the space of analytics both within the organization as well as outside. The key strengths include Competitive Pricing & Analytics, Strategy Consulting & Transformation, Client engagement (Sales) & Account management, Profitability management, Delivery & Transitions management. He has been managing the entire product life cycle management - development & management of product and enhancement of existing features. he can Assess product requirements by analyzing the market & competition supported by on-going visits to customers and potential Clients and also manages the entire product line life cycle from strategic planning to tactical activities.