Live Webinar Feb 27th, 2014 1:00 PM – 2:00 PM EST
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly® Webcasts

Surveys reveal that concerns about data quality can create barriers for companies deploying Analytics and BI initiatives.

How can you readily identify and correct data quality issues at every step of your big data analysis to ensure accurate insights into customer behavior?

In this webcast, Karen will discuss how IT and business users can leverage self-service visualizations to quickly spot and correct data anomalies throughout the analytic process.

You will learn how to:

• Continuously visualize a profile of your data to identify inconsistencies, incompleteness and duplicates in your data
• Visualize machine learning and data mining, including clustering, decision tree analysis, column correlations and recommendations
• Create self-service visualizations for business and IT users

Presenter: Karen Hsu (LinkedIn profile, @Karenhsumar ) is Senior Director, Product Marketing at Datameer. With over 15 years of experience in enterprise software, Karen has co-authored 4 patents and worked in a variety of engineering, marketing and sales roles. Karen came from Informatica where she worked with the start-ups Informatica purchased to bring big data, data quality, master data management, B2B and data security solutions to market. Karen has a Bachelors of Science degree in Management Science and Engineering from Stanford University.

PDU Category C (PMBOK 5) documentation details:

Process Groups: Planning Executing

Knowledge Areas: 5 – Scope 10 – Communications

• 4.3 Direct and Manage Project Work
• 5.2 Collect Requirements
• 5.3 Define Scope
• 10.2 Manage Communications

As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’

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