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Big Data Technologies for Social Media Analytics- Impetus Webinar

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Big Data Technologies for Social Media Analytics - Impetus Webinar

Big Data Technologies for Social Media Analytics - Impetus Webinar

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  • Provides powerful analytics and social metrics to measure your Business.
  • Outcome Based Approach:Retain CustomersProtect and Build the Brand Harvest Positive Sentiment Address Negative SentimentSimplify Customer Service Reduce Operational CostGain Customers Promos and Offers to Circles of InfluenceUnderstand Customer Voice Needs / Pains Of existing customers Demands of evolving needsGauge the Competition Competitive BenchmarkingProactive to customers Predict likely defaults / defections Proactive on demographic changes
  • .Recommendation based Trade/Trend analysisLADAP provides recommendation based trade analysis based on requirement customer/organization looking for.Short Learning CurveStep by step process of creating and analyzing reports makes it easy for business users to adopt LADAPFault TolerantOne of the primary reasons of using Hadoop is due to its high degree of fault tolerance. LADAP utilizes Hadoop’s Self-Healing High Bandwith Clustered Storage.

Big Data Technologies for Social Media Analytics- Impetus Webinar Big Data Technologies for Social Media Analytics- Impetus Webinar Presentation Transcript

  • Big Data Technologies for Social Media Analytics Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • Social Analytics Social Media Sources Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 Social Analytics provides smarter ways of data tracking, powerful analytics and metrics for informed decision making
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • Convergence of Data Sources Data Sources Social Media Website Traffic Analysis External Data Sources (On-site web analytics) (Off-site web analytics) Internal CSR Logs, Customer Queries Industry Reports Automated Agent discussions Market Research Complaints and Resolutions Employee Insights Social Media AnalyticsSocial 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
  • Technical Tenets of Social Media Analytics Data Sources Social Media Website Traffic Analysis External Data Sources (On-site web analytics) (Off-site web analytics) Internal CSR Logs, Customer Queries Industry Reports Automated Agent discussions Market Research Complaints and Resolutions Employee Insights 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
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • Our Recommended ApproachTechnologies 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • iLaDaP Impetus Large Data Analytics Platform Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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. Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • 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 engineBenefits Realised• Better product recommendations
  • 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 engineBenefits Realised• True centralized business overview across product and business lines
  • 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 Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=48
  • Impetus Technologies We offer innovative product engineering and technology R&D services Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48
  • Questions Please send in your questions using the chat panel Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48
  • Thank you Mail us at inquiry@impetus.com or visit bigdata.impetus.com @impetuscalling Recorded version available athttp://www.impetus.com/webinar_registration?event=archived&eid=48