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As data wrangling solutions have emerged as critical tools for organizational big data initiatives, these technologies have also quickly gained traction amongst analysts and analyst teams working with information at a smaller scale. By making the process of exploring, preparing and joining together diverse data more efficient, data wrangling tools are enabling a growing number of organizations to rapidly uncover new insights and trends.

In this webinar, Stewart Bond, Director of Data Integration and Integrity Software research at IDC will join Trifacta to provide an overview of the data preparation software market landscape, discuss its prevalence in modern data environments, and show how these technologies can bring tremendous value to the analytics processes of individuals, teams and organizations.

Join this live webcast to learn:

  • What market and organizational conditions have led to the explosive growth of data wrangling solutions
  • How these solutions integrate with existing analytics technologies and are designed for analyst end users
  • How Wrangler Edge will meet the varied needs of individuals, teams and big data initiatives

Speaker

stewart-bond-headshotStewart Bond
Director of Data Integration and Integrity Software Research, IDC

Stewart is a recognized industry analyst in the enterprise data integration, business process management, EDI, and big data fields. His decades-long experience includes both time spent as an independent research analyst, as well as expertise as an in-house IT architect.

 

 

 

 

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""