The Data Standard

Digital transformation initiatives with Afrozy Ara at Incedo Inc.
Afrozy Ara, Director, Data Science & Analytics at Incedo Inc., joins The Data Standard to discuss about digital transformation initiatives.

Episode Summary

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. Its also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure.

Digital transformation is imperative for all businesses, from the small to the enterprise. That message comes through loud and clear from seemingly every keynote, panel discussion, article, or study related to how businesses can remain competitive and relevant as the world becomes increasingly digital. Whats not clear to many business leaders is what digital transformation means. Is it just a catchy way to say moving to the cloud? What are the specific steps we need to take? Do we need to design new jobs to help us create a framework for digital transformation, or hire a consulting service? What parts of our business strategy need to change? Is it really worth it?

Meet The Host

Catherine Tao

Data scientist at The Data Standard

Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Meet The Guest

Afrozy Ara

Director, Data Science & Analytics at Incedo Inc.

Digital & Analytics Leader partnering with Fortune 500 Clients to help drive data-informed strategies and deliver measurable results for the business. Key areas of focus include enabling seamless digital customer experiences, risk management through fraud detection & streamlining operations through Data Science, Analytics & AI. Expertise in leading organization level data strategies, developing end to end ML workflows, hiring and leading high performing data & analytics teams which have delivered outcomes for Product, Marketing, Operations & Risk functions across the organization.