Your SlideShare is downloading. ×
0
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Big Data Technologies for Social Media Analytics- Impetus Webinar
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Big Data Technologies for Social Media Analytics- Impetus Webinar

918

Published on

Big Data Technologies for Social Media Analytics - Impetus Webinar

Big Data Technologies for Social Media Analytics - Impetus Webinar

Published in: Technology, Business
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
918
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
2
Comments
0
Likes
2
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Impetus Technologies Inc. Big Data Technologies for Social © 2014 1 Impetus Technologies Media Analytics Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=4 8
  • 2. Outline • Social Media Analytics- Need and Benefits • Effective convergence of disparate data sources • Big Data technologies to enable Social Analytics • Our recommended approach • Industry relevant use cases © 2014 2 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 3. Social Analytics Recommendation Engine © 2014 3 Impetus Technologies Reports and Statistics Data visualization Sentiment Analysis via Interactive Interface Social Media Sources Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 4. Business Intelligence & Product Research  Customer Analysis  Identifies users from different geographies, locations  Tracks users activities to determine usage patterns  Feature Analysis  Track the usage of various social features  Product Growth Analysis  Track customer feedback on products  Target the right customers  Recommendation Engine  Related products and customers  Third Party Data Analysis  Analysis of customers on third party sites © 2014 4 Impetus Technologies Social Analytics provides smarter ways of data tracking, powerful analytics and metrics for informed decision making Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 5. How it Helps? Outcome Based Approach • Customer retention • Brand building and recall (harvests/ address sentiment) • Simplifies customer service • Reduces operational cost • Builds up the customer base • Understands customer’s opinions and addresses their needs • Competition benchmarking • Proactive on demographic changes © 2014 5 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 6. Convergence of Data Sources Data Sources © 2014 6 Impetus Technologies Website Traffic Analysis (On-site web analytics) Internal CSR Logs, Customer Queries Automated Agent discussions Complaints and Resolutions Employee Insights External Data Sources (Off-site web analytics) Industry Reports Market Research Social Media Social Media Analytics Social Media Analytics effectively converges on-site, social media and third party data to extract useful information Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 7. Technical Tenets of Social Media Analytics Data Sources © 2014 7 Impetus Technologies Website Traffic Analysis (On-site web analytics) Internal CSR Logs, Customer Queries Automated Agent discussions Complaints and Resolutions Employee Insights External Data Sources (Off-site web analytics) Industry Reports Market Research Social Media Social Media Analytics Clustering Classification Sequential classification Entity extraction Event extraction Communication graph Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 8. Why Big Data for Social Analytics? • Large data volumes in the order TBs and PBs • Complex unstructured data from social sources • Deeper insights into customers and trends • Storing images, videos • The bottom-line - $/TB © 2014 8 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 9. Our Recommended Approach Technologies • Data collection - Social media data – Live feeds – Historical bulk data • NLP (NLTK is a good option) • Data preparation/ Mashup – M/R, PIG, Hive, Oozie, R, Sqoop • Classification/ Clustering (Mahout) • Recommendation (Mahout) • Loopback/ Feed output to live applications • Analytical reporting and deep mining © 2014 9 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 10. Our Recommended Approach • Collecting Twitter Feed (Streaming feed) using filter fire hose – Tweets for keywords – Based on brand, product, category, industry, product segment, special offers and marketing buzz words – Streaming API and HBASE based sink for high writes • Collect/create training data – Standalone Tweets for individual keywords © 2014 10 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 11. Our Recommended Approach • Creating or classifying text data and demographics • Quantitative analytics • Ascertaining daily trend • General tweets v/s product-specific tweets • Tweets targeted at competitors v/s own product • Location based trends (for available data sets) • Identifying and categorizing the output • Sentiment analysis of own product - Good, Neutral, Bad • Use training data for classification - Mahout/NLTK • Run trained models on Tweet data - Mahout/NLTK © 2014 11 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 12. Our Recommended Approach • Mash up Analytics from RDBMS with Social media analytics • Using customer data to recommend new/related products • Preparing mock customer data for Social ID mapping • Running recommendations (item or user based) using Mahout • Analytical Reporting • Demonstrates drill down reports on data generated by Mahout • Reports over Hive/MySQL using a traditional Reporting product or framework © 2014 12 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 13. © 2014 13 Impetus Technologies iLaDaP Impetus Large Data Analytics Platform
  • 14. iLaDaP- Technology Stack • Scalable data store – Hadoop HDFS – Hbase • Connectors (In/Out) – Flume – Sqoop – Messaging queue – ESB- Apache Camel • Analytics and ETL – Mahout for NL and text mining • Classification/ Clustering • Recommendation – Oozie for complex ETL and workflow – JDBC/ODBC compliant Analytics tools – Intellicus, Jasper etc. © 2014 14 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 15. Case Study- Financial Services The Client – Leading financial services company Key Challenge – Recommend products based on User profile/location – Recommend alternate products based Social Media feedback Impetus Solution • Proposed iLaDaP based solution • Sentiment Analysis using Naïve Bayesian algorithm for classification/sentiment analysis • Clustering using k-means algorithm of Mahout • Apache Mahout based recommendation engine Benefits Realised • Better product recommendations © 2014 15 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 16. Case Study- Online Retailer The Client – Leading online product retailer Key Challenge • Recommendation engine • Cross product customer analysis • Provide ‘Big Picture’ across business units Impetus Solution • Proposed iLaDaP based solution • Clustering using k-means algorithm of Mahout • Apache Mahout based recommendation engine Benefits Realised • True centralized business overview across product and business lines © 2014 16 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 17. Summing Up • Using Big Data technologies for Social Analytics needs a well-thought of strategy • Open source yields better results for social media data • Hadoop based Big Data Analytics is a scalable and cost effective option. • Selecting the right tools is the key to build a successful Social Analytics EDW using Big Data • Easy extension of the existing Data Warehouse and Analytics infrastructure is possible to leverage existing investments © 2014 17 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 18. © 2014 18 Impetus Technologies About Impetus
  • 19. • Strategic partners for software product engineering and R&D • Thought leaders in cutting-edge technologies • Mature processes and practices that are methodical, yet flexible • Diverse domain expertise © 2014 19 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 20. © 2014 20 Impetus Technologies Q & A
  • 21. © 2014 21 Impetus Technologies Thank You Write to us at inquiry@impetus.com Follow us on Twitter @impetustech Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48

×