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Big Data Business Impact Workshop

4 hours
Many organizations are struggling to understand just what big data is and how to best harness it. Data is exploding at an exponential rate and data sources are increasingly complex and varied, including a massive influx of data generated by mobile devices, social media, click streams, machines, applications and more. 

Leading companies are endeavoring to manage and leverage both structured and unstructured data, via advanced analytics, to gain new insights, find anomalies and correlations and answers to a wide array of questions that drive front-line decision making. To do this effectively, companies need to deploy new technologies that uniquely suit their business use cases.

What to Expect

During a Big Data Business Impact Workshop, WWT experts will share insights and use cases from organizations that have tackled big data challenges successfully. You'll work alongside WWT experts to understand the following and how it applies to your organization:

  • Big data use case scenarios and solutions
  • Understanding how to combine structured and unstructured big data for powerful insights
  • Examine big data analytics tools
  • Dissect big data architectures
  • Address technical and strategic goals around big data

Goals & Objectives

The WWT Big Data Workshop is a technical and strategic whiteboard session designed to increase your understanding of big data and help you outline your strategy for using big data analytics solutions to add value. 

Attendees will work with WWT experts to develop specific use cases and better understand available solutions, their architectural differences and the specific benefits each provide.

Benefits

This workshop gives your organization the opportunity to gain a better understanding of big data as it relates to your mission-critical goals and to discuss proven and potential use case scenarios. Attendees will gain valuable insight into the big data analytics solutions available today, including their key benefits and architectural differences, in order to evaluate which solutions will work best for their organization.