BizViz Social Media Browser Overview

Copyright © 2016 BizViz Technologies Pvt Ltd. www.bdbizviz.comwww.bdbizviz.comCopyright @2016 Big Data BizViz LLC

BizViz Social Media Browser Overview

Copyright © 2016 BizViz Technologies Pvt Ltd. www.bdbizviz.com

Agenda

Social Media browser (Big Data Injector) - Overview Social Media Browser – Workflow Process (1/2) Social Media Browser – Workflow Process (2/2) Social Media Browser – Real time tweet Analytics Social Media Browser – Dashboard Use Case – Automotive Industry• Automotive Industry – Data Flow• Work Flow• Solution


Social Media browser (Big Data Injector) - overview

What is Social Media Browser?This utility can extract relevant information from Facebook, Twitter, Automotive blogs etc. The extracted data can then be consumed for Sentimental Analytics.

Search data from Social NetworksCollects data from blogs and social networks based on the search term. Scheduler Carries out the scheduling activity on when to start and stop fetching data.

DashboardMeaningful data is plotted on dashboards for better visualizations.

Real time Tweet AnalyticsLive tweets are visualized on the charts.


Social Media Browser – Workflow Process (1/2)

Search data from Social Networks Enter a search term for which we

would like to view the review Select the data sources for the

entered search term

Preview the Data Users can preview the data for the

created search term Click on the Preview icon to view the

data related to the search term


Social Media Browser – Workflow Process (2/2)

Scheduler Create a Job Schedule to define when

to fetch/stop data from the given sources

Select the data sources for the entered search term

Scheduler can be activated and deactivated using the ‘toggle’ button

Click on the ‘toggle’ button to schedule the job


Social Media Browser – Real time tweet Analytics

Real time tweet Analytics Displays real time tweets on

enabling the toggle button to start.

Real time tweets job scheduler can be activated and deactivated using the ‘toggle’ button


Social Media Browser – DashboardDashboard SMB application can display the results using pre-built dashboard templates.


Use Case – Automotive Industry

Background:The automotive industry is one of the most competitive and most challenging businesses. Manufactures are facing increased competitive pressure and customer expectations. Various factors influence sales such as product quality, design, price, safety, etc. To improve sales, manufactures are using data sciences to read consumer behavior. As all this data is coming from blogs, websites, and social media, manufacturers are switching to Big Data technologies to dig deeper into data to read consumers’ minds.

Business Challenge: Influence of social networks on automotive sales

Predicting the sales, profit and market capture trend by the automotive manufacturers based on the past data

Finding correlation and outliers between the sentiments and sales of a brand


Data Flow


Phases of Workflow: Data Collection - In the Data collection phase, we collected data from social media sites, auto blogs, and

websites. We scraped the data from the above mentioned sources using WEB scraping tools (custom scraper, BizViz scraper). For Twitter and Facebook, we used APIs to consume the data. Collection of continuous real-time data is performed and stored using Kafka. The scraped (data structured, unstructured, and semi-structured) is stored in Cassandra for future analysis.

Data Cleanup – In the data cleanup phase, using Natural Language Processing (NLP), we cleaned the unstructured data collected from social networks, blogs, and websites. As analytics cannot be performed on unstructured data, the data was converted to a structured format. Conversion of all text data to lower case (for exact matches) Removal of punctuation marks Removal of irrelevant numbers Removal of generic and custom ‘stop words’ Removal of Ad URL’s Stemming words (for exact matches)

• Data Processing - In the Data Processing phase, we applied proprietary BizViz sentiment algorithms on the structured data to determine the sentiment of each word/Tweet/post.

• Predictive Analysis - BizViz has developed a predictive analysis tool that consumes data from Spark SQL using BizViz Query Services. Once BizViz algorithms are applied to the data, users can extract predictions. These predictions are then stored in a MySQL database.

Work Flow


Automotive Industry – Solution

Following Plugins used to deliver the solution – Dashboard designer, Predictive Analysis, Social media browser.


For further information, please contact:

Phone: (773)897-0939e-mail: [email protected]: @bdbizviz

Thank You

Data & Analytics

BizViz Social Media Browser Overview