In this session, Dr. Nipa Basu, Chief Analytics Officer, Dun&Bradstreet, sat with Vishal Kumar, CEO AnalyticsWeek and shared her journey as Chief Analytics Officer, life @ D&B, Future of Credit Scoring, and some challenges/opportunities she’s observing as an industry observer, executive, and practitioner.
0:29 Nipa’s background.
4:14 What is D&B?
7:40 Depth and breadth of decision making at D&B.
9:36 Matching security with technological evolution.
13:42 Anticipatory analytics.
16:00 CAO’s role in D&B: in facing or outfacing?
18:32 Future of credit scoring.
21:36 Challenges in dealing with clients.
24:08 Cultural challenges.
28:42 Good use cases in security data.
31:51 CDO, CAO, and CTO.
33:56 Optimistic trends data analytics businesses.
36:44 Social data monitoring.
39:18 Creating a holistic model for data monitoring.
41:02 Overused terms in data analytics.
42:10 Best practices for small businesses to get started with data analytics.
44:33 Indicators that indicate the need for analytics for businesses.
47:06 Advice for data-driven leaders.
49:30 Art of doing business and science of doing business.
Here’s Nipa’s Bio:
Dr. Nipa Basu is the Chief Analytics Officer at Dun & Bradstreet. Nipa is the main source of inspiration and leadership for Dun & Bradstreet’s extensive team of data modelers and scientists that partner with the world’s leading Fortune 500 companies to create innovative, analytic solutions to drive business growth and results. The team is highly skilled in solving a wide range of business challenges with unique, basic, and advanced analytic applications.
Nipa joined Dun & Bradstreet in 2000 and since then has held key leadership roles focused on driving the success of Dun & Bradstreet’s Analytics practice. In 2012, Nipa was named Leader, Analytic Development, and in March 2015, Nipa was named Chief Analytics Officer and appointed to Dun & Bradstreet’s executive team.
Nipa began her professional career as an Economist with the New York State Legislative Tax Study Commission. She then joined Sandia National Laboratories, a national defense laboratory where she built a Microsimulation Model of the U.S. Economy. Prior to joining Dun & Bradstreet, Nipa was a database marketing statistician for AT&T with responsibility for building predictive marketing models.
Nipa received her Ph. D. in Economics from the State University of New York at Albany, specializing in Econometrics.
The podcast is sponsored by:
TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach
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