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Bhavani Raskutti
  • Female
  • Melbourne
  • Australia
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Bhavani Raskutti's Page

Profile Information

Short Bio
Bhavani is the Domain Lead for Advanced Analytics Teradata ANZ. She is responsible for identifying and developing analytics opportunities using Teradata Aster and Teradata’s analytics partner solutions.
She is internationally recognised as a data mining thought leader and is regularly invited to present at international conferences on Mining Big Data. She is passionate about transforming businesses to make better decisions using their data capital.

Bhavani has over 25 years experience in advanced analytics research and development as well as application deployment in diverse industries such as telecommunications, banking, retail and bio-informatics.

Bhavani’s work on innovative data analysis techniques within the Telstra Research Laboratories resulted in four text mining patents and 40+ peer-reviewed international publications. Bhavani’s accolades include being winner of the 2002 Knowledge Discovery & Data Mining (KDD) cup which is the premier international data mining competition pre-Kaggle.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/bhavaniraskutti
Professional Status
Consultant
Years of Experience:
25+
Your Company:
Teradata Corporation
Industry:
Advanced Analytics
Interests:
Networking
What is your Favorite Data Mining or Analytical Website?
http://www.kdnuggets.com/
What Other Analytical Website do you Recommend?
http://www.r-project.org/

Bhavani Raskutti's Blog

The Return on Analytics: What is the Show-Stopper?

Posted on August 2, 2015 at 4:57pm 0 Comments

A recent Wikibon report found that enterprises are struggling to derive maximum value from Big Data. While they expect a return of around $3.50 on the dollar, their return to-date is just $0.55. So what stops the business from deriving value from analytics? Based on my extensive…

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Do data scientists need to be domain experts to deliver good analytics?

Posted on March 24, 2015 at 7:00pm 13 Comments

During my 30 years of analytics career, prospective employers and clients have often asked me: "How can you help us with data-driven insights when you have not worked in this industry before?". I argue for greater emphasis on machine learning skills in the data scientist and their partnership with domain experts as an effective pathway to bring data science to a business.

Clearly, the description of data scientist as the mythical unicorn who has computer science skills,…

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