Early Bird Program - We're offering up to 33% discount off for Early Bird registration. Learn more now!
Course duration: 1.5 days
Confronted with big data issues, many organizations struggle to get the best possible value from text data. Because of data ambiguity and complexity, its not easy to discern, quantify, analyze or exploit insights from text-based data. Analytics and Marketing executives struggle to combine text-based information with structured data to get a full, accurate view of the enterprise.
Customers use SAS to combine structured and unstructured text data into organizational assets - to assess, analyze, understand and act upon the insight buried in electronic text including social media content, call center logs, product choices, customer applications and more. As a result, customers make effective, proactive business decisions, streamline priorities and achieve critical ROI in highly competitive markets.
Course objectivesThis course is designed to introduce Big Data analysis methods and technologies to analytics/ marketing teams. Throughout the course, you will learn
Who should attendAnalytics and Marketing executives with the functions of:
Some experience with SAS and SAS Enterprise Miner is useful,
but it is not mandatory. No experience with text analysis is necessary.
Jason Loh is a Product Manager for Information Management & Analytics of SAS North Asia regional team, with a focus on Text Analytics amongst other SAS solutions.
He graduated with a double degree in Business and IT from Monash University, Australia and been working in the field of analytics for 12 years and the recent 5 years in SAS in advisory and technical roles, presenting annually in Text Analytics/ Analytics public conferences and customer knowledge sharing sessions, and conducted workshops for National University of Singapore.
Jason is involved in the design/ delivery of a range of successful analytics projects for customers in sectors including government/ manufacturing/ banking and communications across Asia.