Big Data Security Analytics , Fraud Management & Cybercrime , Fraud Risk Management

Data Analytics: 3 Critical Questions

EY's Maryam Hussain on Launching a Successful Project
Maryam Hussain, partner, forensic and integrity services, Ernst & Young

Launching a successful data analytics project requires asking three critical questions, says Maryam Hussain, partner, forensic and integrity services, at Ernst & Young in the U.K.

See Also: New OnDemand | Cyber Risk Graph: Solving the Data Problem of Proactive Security

Those questions, she says, are: "What are the risks you are looking to manage? What information do you need? And what signals and sensors would you want to put into that information and data?"

In a video interview with Information Security Media Group, Hussain also discusses:

  • Common data analytics missteps;
  • How to begin the data analytics journey;
  • How data analytics can help identify fraud.

Hussain, partner, forensic and integrity service, at EY in the U.K., has been investigating fraud and corruption in the public and private sector for more than 20 years. She has led diverse investigations in 23 countries.


About the Author

Suparna Goswami

Suparna Goswami

Associate Editor, ISMG

Goswami has more than 10 years of experience in the field of journalism. She has covered a variety of beats including global macro economy, fintech, startups and other business trends. Before joining ISMG, she contributed for Forbes Asia, where she wrote about the Indian startup ecosystem. She has also worked with UK-based International Finance Magazine and leading Indian newspapers, such as DNA and Times of India.




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