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Verizon + Tableau, A Case Study

Case study published by Tableau on Siddharth Dayama's work at Verizon featuring how he use visual analytics to enhance CX and optimize operations. This article and video interview became the most viewed case study on Tableau's website. View the full article here - https://www.tableau.com/solutions/cus... In this channel Siddharth Dayama offers an inside look into advanced analytics and data science initiatives in the Technology, Media and Telecom sector. Concepts, skills & techniques covered in this series of videos include - Business Intelligence, Reporting, Data Visualization, Querying, Automation, Data Analysis, Descriptive Analytics, Predictive Analytics, Artificial Intelligence (AI), Machine Learning (ML), Neural Networks (NN), Natural Language Processing (NLP), Classification, Regression, Clustering, Geospatial mapping (Mapbox satellite maps & Google Street View API), Digital Analytics, Chatbot Analytics (Facebook Messenger Chatbot, Amazon Alexa Bot & Google Voice Assistant), Call Center Analytics, Field Technician Dispatch Analysis, User Acquisition, User Adoption, User Engagement, Customer Service, Customer Satisfaction Verizon’s Tech Stack includes - Adobe Analytics, Apache, Spark, Kafka, Flume, Sqoop, Hadoop, Hive, Oracle, Microsoft SQL Server, Teradata, Oozie, Alteryx, Tableau Prep Builder, Aster, SAS, Python, R, Tableau Desktop, Tableau Server, Qlik, ThoughtSpot, Verint, Nexidia About Siddharth - Sid leads the Visual Analytics team in Customer Service Operations in Verizon where his team builds business intelligence and analytics dashboard solutions that democratize and distribute data in an intuitive and visual form to business leaders, helping them make data driven decisions. He was invited to speak and was recognized as one of top 5 customer speakers at the 2018 and 2019 Tableau Conference. Tableau has also published a case study on Sid’s work at Verizon which has become one of the most viewed case studies on Tableau’s website. His work was also featured in the leadership series of the Journal of Data Visualization Society. For more info please visit - https://www.siddharth.info