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Author Profile
Chief Growth Officer, Business Process Services, Tech Mahindra
Bedi has over two decades of experience involving launching start-up ecosystems, scaling up businesses, and successfully taking products and services to market across industry verticals, spanning telecom and media, hi-tech/new economy, financial services, retail and consumer goods, manufacturing, and life sciences. Having spent over 16 years at Tech Mahindra, Bedi is currently responsible for taking our existing and new-age service offerings to global markets and adding meaning to our shareholders, partners, and customers. He holds a bachelor’s degree in engineering from IIT- BHU and a Master of Business Administration (MBA) degree from IIM Calcutta.
Views
Consumer patterns everywhere change quickly. And when it comes to the retail and CPG industries, we cannot practically look ahead 3-5 years anymore. In a digital age where a viral social media review clip can skyrocket the sales of products, it has become critical that businesses take a completely evidence-based approach and stay on top of their games.
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In the face of economic, technological, and social challenges, Chief Financial Officers (CFOs) find themselves navigating uncertain times; especially after the pandemic, many enterprises struggled to adapt to the ‘new normal’. The ever-changing landscape of the business world proves that strategic planning and risk management are the need of the hour to ensure financial resilience.
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Over the years, it has been observed that customer experiences (CX) in the banking sector are built on loyalty, trust, and personalized services. How banks distinguish CX depends on customer data management. This is the reason advanced data analytics has become the need of the hour. With the use of AI and data analysis technology, vast datasets can be used to derive and leverage insights to enable strategic decision-making.
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The term predictive analysis has been around for decades. And while enterprises understand its importance in the ever-competitive marketplaces across industries, there are still some brilliant use cases when it comes to customer experience that need to be talked more about. Predictive analytics models can empower businesses by enabling them to leverage vast enterprise datasets and improve CX. In simple words, AI-powered data and analytics can help predict customer behavior and interests using historical data, allowing businesses to proactively adapt their CX strategies to anticipated customer and market trends.
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