Digital Transformation across Industries

Curriculum

8 Sections
24 Lessons
Lifetime

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Introduction
Digital transformation presents enterprises with significant opportunities for value creation to benefit from the radical shifts that are being observed across industries. While there are nuances in these shifts across industries, there are some common characteristics in them.

Key Takeaways
Common shifts triggered by digital disruption
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- 1.0
  Six common shifts resulting from digital disruption across industries.
Digital Banking 2.0
Banks have been attacked by digital natives. However, they still command high market share, driven by customer stickiness.
Most of the banks’ efforts have been centered on digitizing the front-end and developing a better system of engagement.
Whereas the core issues of their legacy system of records and business processes – which are stuck in a ‘control’ mindset – still persist.

Key Takeaways
Digital banking focus areas - product and services engagement, personalized customer experience, operations, technology, infrastructre modernization, Enterprise AI, Data
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Digital Transformation in the Wealth Management Industry
- Digital transformation has been a topic of management discussion ever since robo-advisors attacked the market. However, little has changed on the ground.
- The Covid-19 pandemic was a real stress-test of the industry for its work-from-home readiness. Despite initial concerns, the industry has, on the whole, successfully passed the test. Still, a lot of work needs to be done on cybersecurity and adherence to the wave of regulations that has happened globally.
- We will see an acceleration of digital transformation in the industry, with themes like advisor personalization, intelligent automation of the mid-back office, and harnessing the full potential of data with cloud.
Key Takeaways
10 priorities for digital transformation in the wealth management industry
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- 3.0
  Ten priorities for digital transformation in the wealth management industry, especially in the wake of the Covid-19 pandemic
How Digital is Disrupting Payments
- Payments has been at the forefront of digital transformation, and already FAANGs (Facebook, Amazon, Apple, Netflix and Alphabet) and the Chinese Big Three (Alibaba, Baidu and Tencent) have attacked this space.
- One can expect some big moves in this space as it will see disruption happening at a rapid pace.
- The enterprise payments space will see a change similar to what has already been observed in the consumer-to-consumer segment.
Key Takeaways
Trends that will impact the Payments segment
Digital Transformation in Payments: 4 Areas of focus
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How Telecom Players can Win in the Digital Age
- Telcos have been investing a lot in digital infrastructure as the industry progressed from 2G to 5G. However, they have not realized the desired value from these investments.
- Instead, OTTs have won the game of content, leveraging the infrastructure that telcos had primarily invested in.
- Now, 5G presents telcos a breakthrough opportunity. But to realize gains from it, they will need to reshape their offerings, their business model and internal processes.
Key Takeaways
Key challenges for telecom industry
Why telecom operators are obsessed with deployment of 5G?
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Driving Enterprise Product Business in Uncertain Times
- This industry stands to gain the most from digital and leapfrog ahead, leveraging cloud-led ‘saasification’.
- To play offence and emerge as a winner, it is critical that product businesses first play defence well.
- There are six themes that leaders of product businesses must emphasize and re-evaluate to bring about change. These include protecting revenues from existing clients, opportunities to grow in white spaces between existing products, stepping up leveraging of global delivery model and innovative partnerships for go-to-market.
Key Takeaways
What businesses should take care of on priority during uncertain times?
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- 6.0
  Six key insights as to what the industry players should do
Digital in Life Sciences
- Life sciences has been one of the laggards but is now at a tipping point for digital transformation.
- To win, players must consider a fundamental shift in the business model by putting the patient at the centre. Historically, it is the clinician that has been the customer in this industry.
- Four imperatives to drive successful execution in this industry are: cloud, automation, a partnering ecosystem and driving open innovation.
Key Takeaways
Reimagining innovation in R & D
Rise of Digital Patient Engagement Models
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- 7.0
  Innovation and customer-centricity
- 7.1
  The execution difference
Quiz
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- 8.0
  Digital Transformation across Industries Quiz
  14 Questions

Digital Transformation 2.0: Key building blocks

digital-bank-2.0

Traditionally, banks have focused on building trust and security with their distribution network of branches. They have, by and large, not been able to keep pace with the improvements in customer experience observed across other consumer businesses. As Nubank has shown in Brazil, banks need to fundamentally rethink what it will take to pivot to a more customer-centric business model, aggressively go beyond their branch-based distribution networks, and at least invest in operations transformation which can bring back the returns to scale. This will require a tremendous shift in focus from strategy to execution across all dimensions – of people, processes and technology.

I believe the Digital Banking 2.0 playbook must include the following objectives:

Rethinking of the product and service engagement modelsto move away from product-centric silos to a more holistic customer-centric approach.
Creation of personalized customer experiencesby servicing customers in the channel of their choice in a truly multichannel world.
Re-imagining of operationsto create simpler, agile processes that are able to adapt to rapidly evolving customer engagement needs

Data and technology will undoubtedly be the backbone on which these objectives will hinge while the execution process is on.

A comprehensive technology strategy for a bank must include the following:

Enterprise AI – to design, train and deploy the next generation of analytical models.
Data infrastructure – to power the AI models.
Core banking modernization – to not just enable process automation but also to drive actions based on AI model recommendations

Six common shifts resulting from digital disruption across industries.