Data Wrangling 101

Data Wrangling and Big Data: Top Analytics Use Cases

RECORDED WEBINAR

Data wrangling has quickly become a hot topic and technology category within the Big Data/Analytics industry. Stakeholders across business and IT are hungry to learn the right way to think about applying these new data wrangling solutions to the analytics efforts of their organization. As with any emerging technology, the leading question from organizations still learning about data wrangling is “What are the top use cases?” If this question is one that your organization is trying to figure out, then this is the session for you!

During this presentation, Trifacta product marketing director Will Davis covers the most popular use cases for data wrangling we see in real enterprise environments. The talk will include examples of how leading organizations such as PepsiCo, Royal Bank of Scotland and Kaiser Permanente are leveraging data wrangling to not only accelerate analysis processes but also incorporate new data sources that were previously too difficult to work with. Will also addresses common questions for data wrangling solutions such as:

  • Where do data wrangling tools fit?
  • Who are the ideal users?
  • How are security and data governance managed?

Webinar Registration

Featured Speakers

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Moderator: Michael Ferguson

Managing Director, Intelligent Business Strategies, Ltd.

As an analyst and consultant, Mike Ferguson specialises in business intelligence, big data, data management and enterprise business integration. He has over 34 years of IT experience, and has spoken at events all over the world and written numerous articles.

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Will Davis

Director of Product Marketing, Trifacta

Will Davis drives go-to-market and product marketing efforts at Trifacta, having spent the past eight years managing the marketing initiatives for several high-growth data companies. Prior to Trifacta, Will worked with a variety of companies focused on data infrastructure, analytics and visualization, including GoodData, Greenplum and ClearStory Data.