Category: Business

The Big Fat Geek’s thoughts on Business and how business processes can be automated via workflows and technology.

Remembering Sir Ratan Tata: A Legacy of Leadership and Compassion

Prasad AjinkyaLeave a comment

The world mourns the loss of Sir Ratan Tata, a titan of industry and a beacon of philanthropy, who passed away at the age of 86 on October 9, 2024. His passing marks the end of an era for the Tata Group and the broader business community, both in India and globally.

A Visionary Leader

Ratan Tata’s journey with the Tata Group began in 1962, when he returned to India from the United States. Over the decades, he transformed the conglomerate into a global powerhouse, overseeing landmark acquisitions such as Corus, Jaguar Land Rover, and Tetley Tea. Under his leadership, the Tata Group’s revenues soared, and its influence expanded across diverse sectors including steel, automotive, IT, and hospitality.

A Heart for Philanthropy

Beyond his business acumen, Ratan Tata was deeply committed to philanthropy. He believed in using business as a force for good, a principle that guided the Tata Group’s operations. The Tata Trusts, which control a significant portion of the group’s shares, have funded numerous initiatives in education, healthcare, and rural development. His efforts have left an indelible mark on society, improving countless lives.

Tributes Pour In

Tributes have poured in from all corners of the globe. Prime Minister Narendra Modi described Tata as “a visionary business leader, a compassionate soul, and an extraordinary human being”. Leaders from various industries and sectors have echoed these sentiments, highlighting his humility, kindness, and unwavering commitment to making the world a better place.

A Personal Reflection

For many, Ratan Tata was more than just a business leader; he was a mentor and a role model. His leadership style was characterized by integrity, empathy, and a relentless pursuit of excellence. He once said,

I don’t believe in taking right decisions. I take decisions and then make them right.

This philosophy not only defined his career but also inspired countless others to strive for greatness.

A Lasting Legacy

As we bid farewell to Sir Ratan Tata, we remember a man whose legacy will continue to inspire future generations. His contributions to business and society are immeasurable, and his spirit of innovation and compassion will live on in the countless lives he touched.

Rest in peace, Sir Ratan Tata. Your legacy will forever be a guiding light.

Vanity Metrics: What They Are and Why You Should Avoid Them

Prasad AjinkyaLeave a comment
Futility of vanity metrics

As a marketer, you probably use various metrics to measure and evaluate your marketing performance and success. Metrics such as website traffic, social media followers, email subscribers, and video views can help you understand how your marketing efforts are reaching and engaging your target audience. However, not all metrics are equally useful and meaningful. Some metrics may look impressive and flattering, but they may not actually reflect the true value and impact of your marketing activities or that of your business. These metrics are known as vanity metrics.

What are vanity metrics?

Vanity metrics are metrics that make you look good to others, but do not help you understand your own performance in a way that informs future strategies. These metrics are often easy to measure and manipulate, but they do not indicate any real return on investment (ROI) or customer behavior. Examples of vanity metrics include:

  • Website traffic: The number of visitors or sessions on your website may seem like an important indicator of your website’s popularity and reach, but it does not tell you anything about the quality and relevance of your traffic, or how your traffic converts into leads or customers.
  • Social media followers: The number of followers or fans on your social media accounts may seem like a measure of your social media influence and authority, but it does not tell you anything about the engagement and loyalty of your followers, or how your followers interact with your brand or products.
  • Email subscribers: The number of subscribers on your email list may seem like a measure of your email marketing potential and growth, but it does not tell you anything about the deliverability and open rate of your emails, or how your subscribers respond to your email campaigns.
  • Video views: The number of views on your videos may seem like a measure of your video marketing reach and impact, but it does not tell you anything about the retention and completion rate of your videos, or how your viewers take action after watching your videos.

Why you should avoid vanity metrics

Vanity metrics may be tempting and satisfying to track and report, but they can be misleading and harmful for your marketing strategy and goals. Here are some reasons why you should avoid vanity metrics:

  • They do not help you make data-driven decisions: Vanity metrics do not provide any actionable insights or feedback that can help you improve your marketing performance and outcomes. They do not tell you what works and what does not work, what to do more of and what to do less of, or what to change and what to keep. They do not help you optimize your marketing tactics and channels, or allocate your marketing resources and budget effectively.
  • They do not help you align with your business objectives: Vanity metrics do not align with your business objectives, such as increasing sales, revenue, or profit. They do not show you how your marketing activities contribute to your bottom line, or how they generate value for your business and your customers. They do not help you demonstrate your marketing ROI, or justify your marketing spend and efforts.
  • They do not help you build trust and credibility: Vanity metrics do not build trust and credibility with your stakeholders, such as your management, your team, your partners, or your customers. They do not reflect the true quality and impact of your marketing work, or the real needs and preferences of your target audience. They may even damage your reputation and credibility, if your stakeholders discover that your metrics are inflated, manipulated, or irrelevant.
  • They can be open to subjective interpretations: Vanity metrics can be interpreted in a variety of methods, thus creating confusion instead of giving a clear direction towards efforts.

How to avoid vanity metrics

To avoid vanity metrics, you need to focus on metrics that are relevant, meaningful, and actionable for your marketing strategy and goals. These metrics are often called actionable metrics, as they help you take action and make decisions that improve your marketing performance and success. Here are some tips on how to avoid vanity metrics and use actionable metrics instead:

  • Define your marketing goals and objectives: Before you start measuring and evaluating your marketing performance, you need to define your marketing goals and objectives, and align them with your business goals and objectives. Your marketing goals and objectives should be SMART: specific, measurable, achievable, relevant, and time-bound. For example, instead of having a vague goal of increasing website traffic, you can have a SMART goal of increasing website traffic by 10% in the next quarter, by targeting a specific segment of your audience, using a specific channel or tactic, and measuring a specific metric or outcome.
  • Choose your key performance indicators (KPIs): Based on your marketing goals and objectives, you need to choose your key performance indicators (KPIs), which are the metrics that indicate whether you are achieving your goals and objectives, or not. Your KPIs should be relevant, meaningful, and actionable for your marketing strategy and goals. For example, instead of using website traffic as a KPI, you can use website conversion rate, which measures the percentage of your website visitors who take a desired action, such as signing up for a newsletter, downloading a white paper, or making a purchase.
  • Track and analyze your data: Once you have chosen your KPIs, you need to track and analyze your data, using various tools and methods, such as Google Analytics, dashboards, reports, and experiments. You need to track and analyze your data regularly and consistently, to monitor your marketing performance and progress, and to identify any trends, patterns, or anomalies. You also need to track and analyze your data in context, by comparing it with your benchmarks, targets, or competitors, and by segmenting it by various dimensions, such as source, channel, device, or audience.
  • Take action and improve: Based on your data analysis, you need to take action and improve your marketing performance and outcomes. You need to use your data to make data-driven decisions, such as what to do more of and what to do less of, what to change and what to keep, or what to test and what to implement. You also need to use your data to optimize your marketing tactics and channels, and to allocate your marketing resources and budget effectively. You also need to measure and evaluate the impact of your actions and improvements, and to iterate and refine your marketing strategy and goals accordingly.

Conclusion

Vanity metrics are metrics that make you look good to others, but do not help you understand your own performance in a way that informs future strategies. They are often easy to measure and manipulate, but they do not indicate any real return on investment or customer behavior. Examples of vanity metrics include website traffic, social media followers, email subscribers, and video views.

To avoid vanity metrics, you need to focus on metrics that are relevant, meaningful, and actionable for your marketing strategy and goals. These metrics are often called actionable metrics, as they help you take action and make decisions that improve your marketing performance and success. To avoid vanity metrics and use actionable metrics instead, you need to define your marketing goals and objectives, choose your key performance indicators, track and analyze your data, and take action and improve.

By avoiding vanity metrics and using actionable metrics, you can improve your marketing performance and outcomes, align with your business objectives, and build trust and credibility with your stakeholders.

Generative AI in lending

Prasad AjinkyaLeave a comment
AI content creator generated using DALL-E

The Indian lending market is one of the fastest-growing and most diverse in the world, with a huge potential for financial inclusion and social impact. According to a report by Boston Consulting Group, the Indian lending market is expected to grow from $1.2 trillion in 2019 to $3.5 trillion by 2024, driven by the increasing demand for credit from individuals, small businesses, and rural segments.

Problems in the lending industry

However, the Indian lending market also faces several challenges, such as high operational costs, low credit penetration, complex regulatory environment, and high credit risk. Traditional lending models rely on manual processes, limited data sources, and rigid criteria, which result in inefficiencies, delays, and exclusions. Moreover, the COVID-19 pandemic has exacerbated the situation, as lenders face increased defaults, liquidity crunch, and changing customer behavior.

To overcome these challenges and tap into the opportunities, lenders need to adopt innovative and agile solutions that can enhance their efficiency, scalability, and profitability. This is where generative AI, a branch of artificial intelligence that can create novel and realistic content, such as text, images, audio, and video, comes into play.

What can generative AI do?

Generative AI can transform the Indian lending landscape by enabling lenders to:

  • Automate and optimize the lending process: Generative AI can automate and optimize various steps of the lending process, such as customer acquisition, verification, underwriting, disbursal, and recovery. For example, generative AI can create personalized and engaging marketing campaigns, analyze alternative and unconventional data sources, such as social media, e-commerce, and geolocation, to assess creditworthiness and risk, generate customized loan offers and contracts, and create interactive and empathetic chatbots and voice assistants to facilitate communication and collection.
  • Enhance fraud detection and prevention: Generative AI can enhance fraud detection and prevention by identifying and flagging suspicious patterns and anomalies in the data and transactions. For example, generative AI can detect fake or tampered identity proofs and documents, such as Aadhaar cards, PAN cards, and bank statements, by comparing them with the original or authentic versions. Generative AI can also detect fraudulent or malicious behavior, such as identity theft, money laundering, and cyberattacks, by analyzing the behavioral and transactional data of the customers and the lenders.
  • Innovate and diversify the lending products and services: Generative AI can innovate and diversify the lending products and services by creating new and tailored solutions that cater to the specific needs and preferences of the customers. For example, generative AI can create dynamic and flexible loan products that adjust to the changing circumstances and requirements of the customers, such as income fluctuations, emergencies, and life events. Generative AI can also create new and niche lending segments and markets, such as peer-to-peer lending, microfinance, and social impact lending, by leveraging the power of the crowd and the network.

Challenges in using generative AI

Generative AI is a new frontier for the Indian lending industry, as it offers immense possibilities and benefits for both the lenders and the customers. However, generative AI also poses some challenges and risks, such as ethical, legal, and social implications, data quality and security issues, and human-machine interaction and collaboration challenges. Therefore, generative AI needs to be adopted and implemented with caution and responsibility, ensuring that it is aligned with the values and goals of the stakeholders and the society.

I am not even going to talk about the compliance risk and the risk of using a pre-cooked model which may not even be similar to the target audience.

Generative AI is not a magic bullet that can solve all the problems of the Indian lending industry, but it is a powerful and promising tool that can augment and enhance the existing capabilities and solutions. Generative AI can help the Indian lenders to become more efficient, scalable, and profitable, while also serving the customers better and faster.

However, smart and crisp solutions are yet to be seen in the Indian market, and this is an area of work for us at Homeville.

6 months of lockdown

Prasad AjinkyaLeave a comment

As I write this after nearing the 6 months mark of lockdown, I cannot help but think at looking back at how things have changed in the last 6 months or so.

  • Work from home is an accepted norm with remote working at an all time rise. The organizations that could slide into this mode of working have also started realizing the benefits of allowing teams to operate from home. Any teething troubles that were there have been ironed out and I am see teams of all functions coming together on Zoom/Hangouts and making it work.
  • Reverse migration has started. A lot of this working class who can work remotely has opted to move back to their native places. Just to give an example, out of my team of 8 – only one has chosen to stay in the city … the rest are safely back at their native places across the country.
  • Internet penetration and mobile services are at an all time high. The demand for Jio has never been higher with this working class scrabbling to ensure that they have steady connections at home. I see this audience’s demand in Tier-2 and Tier-3 cities ensure that brands and the government focus on building out the infrastructure in remote cities.
  • This would lead to some normalization between demand and supply of all goods across higher and lower tier cities. Take Mumbai for example … in the suburbs or in Mumbai proper, it is hardly a case when you see an electricity outage. As you go outwards, you will start seeing specific load shedding hours and schedules. In the Raigad district, there is atleast one day a week when there is no electricity. As the working class goes back to these cities, either the demand for inverters will go up or the respective local governments would be petitioned to increase the quality of lifestyle.
  • Environment conditions across all cities have drastically improved, the Mumbai air feels cleaner, cooler and taking a walk doesn’t seem oppressive.
  • Organizations whose engagement models involved a lot of physical interaction have started discovering alternative methods and workarounds. Dentists have started using full-body kits, delivery boys have established clear package hand-off protocols, restaurants have started opening up with lower floor space utilization.
  • Cost of basic services and commodities have slowly increased. An annualized inflation of 15-16% looks to be on the cards and the common man is going to bear the brunt of this. Any initiative the government is going to take is only further going to exacerbate this.
  • Industries that have been doing well since lockdown –
    • Food Deliveries
    • E-commerce
    • Agri-tech
    • App enabled services
    • Edtech
    • Fintech
  • Communication apps are at an all time high. Zoom has made it to the top 10 websites in India according to Alexa.com
  • OTT platforms are raking it in with a lot of the younger audiences looking at their smartphones for entertainment. Since there haven’t been any theatre releases, all the movies that were scheduled to be released have started being covered on the OTT platforms. A quick glance at the above list by Alexa informed me that Netflix, PrimeVideo and HotStar were all in the top 20.
  • Big tech firms are going all out to change the way things are. Google pretty much gave all schools free access to Google Classroom. Both my children are using this for their new term this year.

As things start settling down from this massive change in life, I see a resilience being shown by businesses as they start figuring out a way to live and thrive in this economically challenging environment. As a technologist, I see a large need to automate a lot of business processes to keep the wheels of the industry turning.

This is what will keep the world going round.

Data the new Oil

Prasad AjinkyaLeave a comment

Any analysis team would work day and night to justify the reason for their being. There are enough articles being shared on the internet on arriving at a Return on Investment for Analytics (RoIA). However, the main service that any of these teams did was to crunch business data into A-has. This hasn’t changed over the years, and a lot of analysts derive job satisfaction through this very hunt for the A-ha! from their audiences.

The switch to being a core business

Data and business analysis was until now a support function, which needed business data in order to thrive and be effective. Aside from very few models (those that sold business critical data such as ratings, organizational data, etc), the data was never used as the primary product.

There was always a pre-activity and an analysis activity for that data to be useful. However, over the years I am seeing that has changed. Data is now being presented and sold as the main product.

Data as the product

Those of you who know Bloomberg, Hoovers, S&P or CRISIL, would know that data as a product business model works. Now that you know the pattern, let’s take a look at how this business model works.

Data collection as a ancilliary service

There is one function of the business which works with the entire industry it is catering to, to collect data. This more often than not is made available as a freemium or free service.

Some examples of this would be – Alexa Certified metrics, Google Analytics, Walnut app, Swaggerhub, etc.

You get the general idea here. If a good product or service is offering you a free plan, more often than not the data you are entering on that platform would be mused for multiple usecases. Not just for your primary use case.

Data aggregation and visualization

This is akin to the marketing function, and most probably gets a lot of early adopters talking good things about the product.

E.g a blogger singing paeans about Google Analytics, an industry benchmark visualization being shared, data report about a competitor, etc.

This way, the inherent value in the data is presented.

Data access and pricing plans

This is how the business is monetizing the data. By selling access to it. Often on a pay per use basis, or a per data point basis. Note, there might be multiple reports given to the user, however the user has to do the analysis on their own.

E.g SEMRush, SimilarWeb, Alexa, etc.

Wait, these are all old products

Yes. They have been around for quite some time. However, I am seeing that other industry are also copying this model. I recently spoke to someone in the pharma industry who was selling aggregated prescription data to pharma companies.

The credit industry has already been doing this for so many years. TransUnion is a perfect example. In India, most working professionals are familiary with their CIBIL scores. What few people realize that CIBIL is a TransUnion company. Similarily, CRIF score (which is an alternative bureau) belongs to Experian.

What gets my goat in this scenario, is that the firm which is collecting data is based out of another country! This firm now claims to own and know the data of citizens belonging to another country.

Shut up and take my data

Let’s go back 300 years or so. The British killed the Indian textile industry by mutilating the weavers who used to make cloth. Then they bought the cotton and other crops at throwaway prices, that cotton is similar to the data that is being collected. The industry grade cotton which was then imported back in India is similar to the data aggregation and reports that are being sold.

The only difference is that 300 years back, we were scared of the East India Company. This time around, we are welcoming the data traders with open arms. Should we not be a bit more aware of who and how our data is being used?

The reason why EU is taking such a harsh stance with GDPR is a bit more clear. Where is the call for privacy and better data sharing protocols?

A fortress of regulations

Prasad AjinkyaLeave a comment

For the past 6 months or so, I have been involved in building up a fintech based business. You might have seen me post about real estate and how the young Indian workforce needs help to own a house. This organization is HomeCapital which provides home down payment assistance for first time home buyers. In fact, it’s India’s first home down payment program.

The product itself is pretty unique and involves a bit of financial engineering. It’s an unsecured personal loan made available to the home buyer at 0% interest. To know more feel free to drop by our office for a chat and a cuppa!

Business traction and growth

The business is doing well and therefore it has quickly attracted a good set of investors. As we are gearing up for a Series A run, one of the question that I am increasingly seeing in conversations is this –

What technology barriers to entry does your business have?

The first time I heard this question, I was stumped. It’s not as if the core product was a technology driven product. Given enough time and money, any competent person should be able to build any of the following systems –

  • Loan origination
  • Application management
  • Loan management
  • Customer Relationship Management

These are business support systems, and they will never be a technology differentiator. The simple reason being that there are too many service providers and SaaS products out there which provide alternatives for them.

Yes, I could always claim a better UX, a robust and secure system. However, these are fast becoming hygiene factors and thanks to cloud based solutions fast becoming a commodity.

How does this impact a relatively new industry?

Read on. It’s a good case of how the mayor of Paris has decided to take matters in her hands in order to stop an overcrowding of a young industry.

There are a dozen electric scooter companies operating in Paris right now. There are so many that the Mayor just announced that she will reduce that number to three with new rules for electric scooters in Paris.

via Low (No) Barriers To Entry — AVC

Artificial barriers are being constructed in order for three of the businesses to be sustainable. The young electric scooter industry is being protected in this case by Paris.

Very similar to this, the FinTech industry in India is relatively young, and the Government of India has taken an active interest in this. One of the instances where the banking and lending industry in India was protected was where RBI drastically changed the P2P startup landscape by limiting individual investors to 10 Lakh INR.

Most developing countries are taking this approach for multiple industries. A wait and watch approach with a beady eye on the innovations and changes ensures that most policies that are being passed are in situ with the economic environment.

Protecting lush markets

What the mayor has beautifully done is protect the largest european market of electric scooters. One reason for more than a dozen startups to spring up in this market was that it was fairly easy for someone to join a business, learn the ropes and then start on their own. However, what will happen if one of these fly by night operations were to suddenly go down under? Suddenly the entire market starts stumbling. Would you as a governing body allow this to happen?

No. I would rather have 3-4 stable operators providing this service as opposed to 12-15 firms. It’s regulation, yes. It’s against the natural laws of economy, yes. However, it is being done to protect the market. Over a period of time this triopoly will try creating a seller’s economy, however the regulation will ensure that no one player can generate super normal profits. This creates a pretty strong barrier. An impregnable fortress of regulations that cannot be overcome.

India and FinTech

If you now look at the FinTech industry in India, then there are many regulations. This is not so much a concern as much as the fact that these regulations keep evolving as the industry evolves.

Take the fact that since September 2018 the Aadhar based KYC norms have come to a standstill. It is only last week that the RBI has allowed for e-KYC to be re-initiated. Now through in a recent trend such as DeepFake in their, and now you have regulators in a dizzy. What the major players in banking and lending are doing is looking up to the regulator to take decisions … these decisons are being taken over a long period of time (approximately 6 months in the case of e-KYC).

That’s two business cycles. Enough time for an upstart to start-up. India is a lare country and we haven’t really started making fintech products for the 66% of the non-english speaking Indians. There is hope of growth there, and hence the regulation barriers will be slowly built in that area.

Is a barrier needed?

A barrier to entry is needed when the market becomes small and the players have to compete for transactions. However, what is unique about billion people economies such as India and China is that the sheer volume of users is so high that there is always room for more.

Even in such a space where every month there is a new lender or two cropping up, the Indian real estate and lending space still remains under utilized. Housing for all still remains a distinct dream, and until then, instead of building barriers, perhaps we might want to think about building bridges.

Helping GenZ find their place

Prasad AjinkyaLeave a comment
When do backpackers settle?

A few decades back, the only time a fresh out of college fledgling would consider buying their own house was when they contemplated marrying and even then within a joint family system they saw buying property as investment.

Over time, with escalating rents and increased self independence, the robust Gen Z is showing an inclination to own homes by the time they turn 27. The Homebuyer Insight Report shows a majority of prospective home buyers between 18 and 23 who want to buy a house in the next 5 years (this is in the developed countries). About 52% of the above numbers have already started saving for their own property.

But what about the developing nations?

The story in developing nations is completely different. With a majority of individuals going through lengthier schooling periods, and taking more time to find their way through their careers and eventual independence, the average Indian Gen Z has all the aspirations of the Gen Z, but also has all the legacies to manage.

I say aspiration because the typical Gen Z in India first rushes headlong into a job to ensure financial independence. Over time as the bare necessities are funded, then the Gen Z aspires to travel … the generation is also called as backpackers because of the affinity of unstructured experiences which are valued by this generation. For example instead of a Kesari tour (meh!), this person would want to backpack their way on a beaten down path.

So when do Gen Z finally settle?

The research done points to a couple of reasons.

When starting a Family

Starting a family is the largest motivator for settling down and buying a home. Even if that means taking a loan or financial aid for buying the home.

One of the major challenges that Indian Gen Zs face is that the down payment required for real estate is so high that it’s difficult to buy this house early. What that means, that an entire generation starts becoming more career focused so that they can finally afford their homes.

To solve this problem, HomeCapital has launched India’s First Home Down Payment Assistance Program. Wait … what?

Yes, it is a mouthful, but it’s worth it. What this program addresses, is the challenge that most first time home buyers in India face. The down payment.

Started by a team of professionals from varied fields, the program will provide up to half of your down payment requirements. The program lets you to double your down payment capability and widens your reach in terms of home affordability. It increases your home loan eligibility and makes your home buying faster and simpler.

The cool part

The best part is that this program is engineered in such a manner that the user is not charged interest for the unsecured personal loan that the user gets on this form of assistance. That’s as good as a 0% interest for the user!

Yes, you got that right. If you want a home and you are buying a home on any of HomeCapital’s listed properties, then the HomeCapital team will help you with an unsecured personal loan to pay the down payment, the stamp duty and the registration fees. At zero interest.

So, if you haven’t been thinking of buying a home because of the insanely high prices, now think again.