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Date: 7th July, 2016, 10:00 AM - 11:00 AM PDT | 10:30 PM IST | 12 PM CST

Building an end to end Big Data Analytics platform consists of combining several key elements such as Solution Architecture, Technology evaluation & selection, Scalability, Extensibility and Performance. While Technology plays a key role in the platform build, getting the right insights to the business users is equally or more important to be able to monetize on the platform through business analysis and data science.

Join us for a webinar where we will showcase the key Ingredients required for building BDA platforms from “concept to reality”. The webinar will highlight the use cases, technology & business challenges and our winning formula to deliver innovation at lower costs, faster time to market with the desired business value.  We will also cover the right skills sets which are required to create, sustain and scale the platforms. Our focus on data quality, governance has enabled our customers to create critical & relevant business insights from disparate and large volume of data sources. The webinar will deep dive into our journey of building platforms for:

• Industry agnostic Social Listening & Engagement
• Sales & Marketing Intelligence

Speakers:

Yash Badiani,
Practice Head, Big Data Analytics & IoT, CIGNEX

Yash Badiani is focused on delivering enterprise class Big Data Analytics platforms with technologies like MongoDB, Hadoop, Talend, Spark, D3.js, Liferay and more. He has worked extensively on large data warehouses, data lakes and business Intelligence projects with tools like Business Objects, Microsoft SQL Server, Microstrategy, IBM Cognos.

Mansi Vaswani,
Business Analyst, Big Data Analytics & IoT, CIGNEX

Mansi is a lead Business Analyst with the Big Data Practice at CIGNEX. In her current role, Mansi focuses on the Business side of the Big Data Analytics Platform builds. Her expertise lies in Business concept understanding & competitive assessments, Requirements Validation, Defining Data Acquisition, Governance & quality rules, Data Validation, Creating End user trainings & workflows. Her primary goal is to ensure that the Platform delivers the desired business value and ROI.