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The Analytics Hall of Fame (AHOF) is a merit-based award and recognition site for data analytics and digital professionals who demonstrate significant and publicly verifiable achievements. As a long-time evangelist of data analytics (DA) based business decisions, Anthony Branda, Founder and CEO of AHOF, established the company to develop a practitioner community in this space. The company releases articles with leading-edge content from practitioners in the field and develops gaming functionality to help professionals sharpen their DA skills, share a community experience and have fun!
Founded at Pace University in New York, AHOF conducted its inaugural award ceremony in 2023, honoring famous leaders like V. Kumar, Tom Davenport Vishal Kumar, Randy Bean, and Beth Comstock to name a few.
A Curious, Enthusiastic and Resilient Leader
Anthony has had an enduring 25+ years of career in data analytics, data science, and CRM. Starting his profession as an SQL programmer in database marketing at American Express, Anthony’s career began to skyrocket and made him land prestigious roles from being the VP of Cross Sell Analytics at Wells Fargo to leading some of the first analytics and data science units in the industry even before the position of Chief Data or Chief Analytics Officer was known. Besides this, he has led teams at Bank of America, RBS America/Citizens as its CAO, and at Citi, he was leading their North American Consumer and Commercial Decision Management. Recently, he has been applying his skills, knowledge, and experience to analytics and digital transformations in the global arena like the CDAO at ASB – a subsidiary of CommBank, (#1 international bank in Australia), and as the Group Head of Data Analytics for over seven countries in the Gulf Region for Ahli United Bank.
Anthony’s claim to fame is demonstrated by his ability to connect the dots and mesh business strategies, technical know-how, and data science into a cohesive approach, communicating and driving consensus with stakeholders to drive the best business and customer outcomes. He has had rotations in all aspects of Banking Information Management and Analytics including consumer, commercial, investments, private and retail banking, and real estate. Anthony claims that he is a vociferous learner, completing Certifications in Analytics (CAP) and Data Science (John Hopkins), and AI (MIT), in addition to earning a Doctorate in Marketing Analytics.
As an evangelist of DA, Anthony founded an M.S. in Marketing Analytics at Pace University. He led a group of experts and industry executives to establish the Analytics Hall of Fame (AHOF), where he is the CEO. Besides, he is also an infamous author in practitioner-oriented journals with articles on how firms can integrate analytics with marketing practices to improve business results.
Transforming Obstacles into Real-life Learnings
At the beginning of Anthony’s career, he reveals that he learned the criticality of fact-based decisions, and just as importantly, the reality that not all relevant facts are easily and quickly available. Direct marketing enabled him to understand the test and learn concepts and data science methodologies, forming the foundation of his knowledge about measuring success. In the early years of credit cards, Amex, MBNA and Bank of America were formative in terms of extending Anthony’s knowledge about statistical methods, omnichannel engagement, and CRM.
Rotations at Accenture and running a consulting business gave Anthony an appreciation for the data lakes, cloud-based tech, and open-source tools and how to ensure alignment with solutions for business problems. Like many human endeavors, the use of DA is a marriage of art and science, which would include math, engineering, and tech, which must be appropriately married to the business problem frame. The art stems from deploying the solutions correctly, this is why data analytics and AI are a blend of heavy sciences but also require a fair amount of skill and communication to ensure a successful path to deploy. Anthony is also quite amused by the act of balancing all these variables to drive toward the desired outcome.
‘Analytics’ as a Magic Tool to Address KPI Challenges
Anthony reveals that in his career, he has often run into walls deploying analytics, primarily due to incorrect incentive structures and KPIs, which disincentive analytics usage with relevant customers. For a marketing program, the team generally targets profitable or as many customers as possible or the highest volume of customers. Those are very different objectives with very different program profits and expense results, and customer outcomes. The clarity in articulating the business problem and the desired outcome should guide KPIs with the support of leadership and stakeholders.
According to Anthony, leadership and top management support have been vital to changes in KPIs and removing barriers to success, hence ensuring the accompaniment of stakeholders and maximum management support before building analytics solutions are of primary importance to Anthony. It provides a path to deploy. He takes us through another example of when each LOB has distinct product sale goals for their business. The firm still aims to attract the right customers in the right channel to maximize customer value. The business models and KPIs must be modified through influence and proof points to gain acceptance of this enterprise view. Very often, silos, and even in some cases, agile-at-scale with its tribe mode can create a tribal mentality, which is at the expense of the customer and the enterprise.
Lastly, Anthony claims that data analytics is about prioritization and efficiency gains, whereas business is about volume and scale. Using targeting tools and data science often requires a trade-off between losing volume and hitting the correct targets.
Technologists at the Helm of Trust Building
Anthony states that technology is an ‘enabler’. Therefore, the businesses that receive the benefits of technology need to be heard. He continues that leadership attributes to facilitate this goal include empathy, listening skills, collaboration, and negotiation. Leaders are SMEs but also diplomats and deal makers- they must work toward compromise as not all technology gets deployed without challenges. Most importantly, technologists must be trust builders and have the willingness to educate others.
The Core Modules of Innovation
Furthermore, data analytics innovation must be in every organization’s budget – bandwidth and resources must be dedicated to remaining competitive in today’s world, mentions Anthony. He further adds by exemplifying that an organization might commit the funding for the team to pilot 2 or 3 new test ideas per quarter for subsequent rollout. Beyond BAU insights and analytics, which tend to be more reactive, these pilots, with a defined business case and a definition of success are key to continued growth and value addition.
Riding the Digital Wave with Cognitive Technologies
In banking, many aspects of AI, automation, and cloud are taking hold, but Anthony believes there is still a long way to go.
The vision of AI is to have data analytics and Auto ML be the brain behind all decisions in the organization, opines Anthony. That is the focus area for many CDAOs. He continues that changing marketing automation and customer engagement tools into real-time customer decision engines and platforms that drive the next best experience or Next Best Everything will allow the whole vision and uplift to be achieved by using machine learning and other cognitive tech. These tools use recommendation or decision engines to serve the proper interaction, offer service experience, and make risk or underwriting decisions to maximize customer value and drive a good customer experience. The customer data platform and the customer decision engines leverage data Robot, Pega, Adobe, and Salesforce software, as well as the brain trust of data scientists and engineers to make it a reality.
A New Beginning for Limitless Changes
For banking analytics, Anthony envisions the role of the CDAO continuing to evolve with more and more companies bringing both the data and analytics together under one roof or leadership to get more traction and ensure that data drives insights that lead to business impacts. The industry has pivoted heavily to engineering and towards a very fractured ecosystem with many technologies and tools. But he believes that companies will swing back to a more strategic and integrated business view over time as the technologies’ resource capabilities need to solve a defined business purpose. He adds that in some firms, the CDAO will ultimately report to the COO or CEO, as a peer to the CMO, Digital Officer, CTO, CIO, and CFO. This will happen as data analytics continue to drive impact and be viewed as a business asset to improve all decision-making.
Meanwhile, in terms of the Analytics Hall of Fame, Anthony confirms that the company is pivoting to enable the best content to be shared by practitioners to demonstrate their knowledge and skills. He accredits that there should be a place for data analytics professionals to have their own space to show their know-how outside of business research and the business media reporting on the DA practice as observers. The company aims to carve out a space for data analytics practitioners to describe what they are doing, in their own words and describe their success stories.
A Piece of Anthony’s Mind for Emerging Leaders
You're reading Anthony Branda: An Analytics Expert Redefining The Benchmarks Of Fintech And Bestowing Leadership
So you want to become an SEO expert.
I can totally understand why.
There are so many reasons to love SEO.
SEO is fascinating.
SEO is a fast-paced, in-demand field with plenty of longevity ahead of it.
But that means SEO also attracts people who just see it as an easy money grab or work-from-home job.
They read some blogs here and there, learn the terminology, and voila! They’re changing their title on LinkedIn to “SEO Expert.”
After only a few days.
Or worse, a matter of hours.
That’s like reading a few medical books and calling yourself a doctor.
That’s not how this works.
SEO expertise, like any other field, requires time, commitment, and experience.
You can’t just declare yourself an SEO expert.
It’s not a young field anymore.
There are experts who’ve been doing SEO for decades now.
Ready to follow in their footsteps?
Here are 21 things you need to know to become an SEO expert.1. Understand the Basics of SEO
To become an expert, start with the basics. You need to understand how audiences and search engines interact, and what you can do to optimize content effectively.
Learning the basics boils down to three core components:
The types of content that users want, expect, or need. It’s all about user intent.
The inner workings of how search engines really work.
The tools and techniques needed to optimize websites.
Without this background, you may be able to explain the “what,” but not the “why.”
As someone who has worked in this industry for 15 years, knowing the why sets you apart.
At Search Engine Journal, we created an ebook that covers the SEO basics.2. Build Your Own Websites
Once you understand the basics of SEO, it’s time to apply them.
Most pros will tell you they learned the most by building sites and breaking things.
Ryan Jones of Razorfish put it well when I interviewed him on the Search Engine Journal Show:
“Don’t just start out trying to do SEO for big brands; start doing SEO for yourself. Make something. Whether it’s a blog, affiliate site, or an app…start doing it for yourself and hone your skills that way.”
Learn HTML. Learn all the tags. Test.
Fiddle with the content and see how it manifests in SERPs.
Pick a topic that you’re into. That’ll make it easier to create content.
You want to spend more time building and optimizing the content, not writing it.3. Learn WordPress
One-third of websites are built with WordPress.
So if you want to be an SEO expert, you need to know it well.
It’s not just that it’s ubiquitous – it’s also the best CMS for SEO.
WordPress is perfect for functionalities that directly (e.g., metadata) and indirectly (e.g., UX) affect SEO performance.
Start your WordPress education with this great list of resources from Kinsta.4. Learn Google Analytics & Google Search Console
SEO pros use a wide variety of tools to optimize content and analyze their effectiveness.
Google Analytics and Google Search Console are essentials for any SEO command center.
Google Analytics is all about measurement and reporting.
Google Search Console enables you to optimize your site.
SEO expertise requires mastery of both.5. Read About SEO Every Day
Remember I mentioned commitment?
You’ve got to have the determination to read about SEO daily.
The major search engines make changes every day and you never know the impact that will have on your rankings.
Your colleagues, clients, and bosses – they’ll expect you to have answers.
Keeping up with SEO content daily keeps you fresh.
Not sure where to begin? Try this list of 25 reliable resources to start with.6. Understand How Search Engines Work
It can feel like much of your fate rests in the hands of the search engines.
And it does.
That’s why you need to know about crawlers.
These bots are making decisions about the quality and relevancy of your content.
Several key factors drive those decisions.
Understanding search intent, relevance, content quality, links, and usability will help you better grasp why the algorithms operate the way that they do.
Search engines are a black box – they don’t reveal the secret sauce behind their products.
But you can use these known factors to optimize your site and give yourself a leg up.
If you want to get into the real nitty-gritty of Google’s patents, check out Bill Slawski’s SEO by the Sea blog.
Or, dive deep by reading our ebook: How Search Engines Work.7. Read Google’s Quality Rater Guidelines
For an even more in-depth look behind the curtain, study Google’s Quality Rater Guidelines.
Google hires people to rate websites, and this guide covers the factors they’re told to look for.
It’s not a short read.
You may be familiar with the simplified version of its contents, known as E-A-T:
The simplified version is useful if you’re just starting out or even at the intermediate level, but to become an expert, you need to read the whole thing.
The raters are not SEO professionals – they’re everyday people.
Similar to the search engines’ bots, these raters have an effect on your site’s performance.8. Look at the SERPs
This is where all the action is.
Look at the search engine results pages (SERPs).
How are they composed?
What content do they display?
Who is doing it well?
Notice how the results change when you search for different kinds of queries.
Look at how this search for “How to make alfredo sauce” differs from “alfredo sauce.”
You can see these featured snippets for recipes because I asked a question in the search box.
Then, here you can see the knowledge panel on the right.
Google is making decisions about the intent behind those queries and serving up content in a format that it thinks users want the most.
So look at the SERPs.
A lot.9. Learn About Technical SEO
Technical SEO is everything that you do to make your site easier to crawl and index.
These factors play a role in how well a site ranks in the SERPs.
You can have amazing content, but a slow or site with lots of bugs will hurt your performance.
With so much content to compete with, a website with a solid foundation from technical SEO can make or break your strategy.
Learn more in our technical SEO guide.10. Learn About Content Strategy, Creation, Optimization & Promotion
While technical SEO helps search engines crawl and index your site more effectively, understanding content will help you improve the user experience, time on site, links, and so much more.
Gone are the days when content was created by a keyword-first strategy.
Since the Hummingbird update and RankBrain came on the scene, content needs to be created in a user-first strategy.
But, just because you published content, doesn’t mean users will find it.
Content needs to be optimized to add context to content to help search engines understand how to categorize it.
That content also needs to be supported by a promotional strategy.
SEO alone isn’t enough – other marketing channels (e.g., social media, email) contribute to the success or failure of your content.11. Use Link Building Tactics That Actually Work
Link building is one of the first things you learn about when studying SEO.
To benefit from link building, you need quality links, not just quantity.
Getting there requires a mixture of good reporting and relationship-building.
Relationships are super important for link building. I was asked to contribute to this post on PointVisible, and that resulted in a nice link back to SEJ.
If you’re a beginner, start with our ebook, Link Building for Beginners.
If you’re a little further along, check out our more in-depth link building guide.12. Don’t Develop Checklist Mentality
Checklist mentality is when you’re so focused on following a regiment that you become inflexible and unaware of when that routine isn’t working anymore.
Search engines are changing all the time.
You need to be adaptable, and a checklist mentality means blindly walking through a to-do list.
Over time, the items on that to-do list become outdated or don’t account for new updates.
Eventually, the checklist mentality will negatively affect your outcomes.
Instead, be open-minded and outcome-oriented.
If your rankings have dropped, despite adhering to your checklist, think creatively.
Ask for help.
Be prepared to change.
Just don’t be held captive by your checklist.
The following tips will point you in the direction of good resources to help you continually develop.13. Join Facebook Groups
Facebook is full of active, helpful groups for SEO professionals. Here are just a few:
Facebook groups give you access to a ready-made network of peers.
Don’t just look for SEO groups, look for groups that also include marketers, content creators, and social media pros.
If you have an interest in e-commerce or B2B marketing, look for groups with those areas of focus.
The sheer breadth of the network you can access on Facebook is unmatched.14. Follow SEO Experts on Twitter
Sometimes you need a break from your typical blogs and news sites.
Following SEO experts on Twitter gives you one more way to access their wealth of knowledge.
Use Twitter to keep up with the latest news, participate in conversations, and get opinions on SEO topics that aren’t black-and-white.
To start, follow other SEO experts that top SEO blogs are already following.
When you follow the right people on Twitter, it sharpens your SEO knowledge and connects you to opportunities that you may not have heard about otherwise.
I’ve curated a list of experts to help you get started.15. Attend SEO & Marketing Conferences
Another way to level up your skills is by attending events.
Conferences and webinars are excellent resources for learning more about specific aspects of content marketing.
In-person events may be on hold for now, but there are plenty of virtual conferences still going on.
The presentations feature expert guidance on the topics that are top of mind for most SEO pros.
They can be pricey, but a great conference is totally worth the investment.
Attending events gives you a chance to hear directly from industry experts, an opportunity you may not get otherwise.
Here’s a list of great events to check out this year and next year.16. Listen to Podcasts
When you need a break from reading and watching, try listening.
Podcasts have exploded in recent years, and that includes podcasts that cover SEO.
Listen on your commute, or while you’re cooking or working out.
Podcasts are the best way to feed your brain while multitasking.
You can find any number of formats, show lengths, and hosts to suit your fancy.
I’m admittedly biased, but check out The Search Engine Journal Show for lots of great insights and tips from some of the brightest minds in SEO today.17. Grow Your Personal Network
You don’t know everything.
You don’t have all the answers.
And in SEO, you likely never will.
But that’s OK!
Other people in our industry are amazing at content strategy and promotion, but terrible at some technical aspects of SEO.
At some point, you’re going to need help from someone else in the industry.
So start building connections.
Use social media to start building relationships.
Platforms like Twitter and LinkedIn make this fairly easy.
The best way to make connections and grow your network is to be willing to share information.
Don’t just take and take.
Give and take.
Remember, relationships are a two-way street.
Share your own experiences and expertise.
The idea is to continually stay in touch and develop a rapport with people.
Over time, these connections will start to see you as an expert.
Eventually, you’ll want to build a trusted network of people with whom you can troubleshoot, bounce ideas off of, and share tips, strategies, and other learnings.18. Take Advantage of Free Courses
One of the great things about learning SEO is the wealth of free information available to you.
Sure, there’s a lot of junk to filter through.
But there are also plenty of free courses from highly respected companies and instructors.
Moz, for instance, lets you explore by topic:19. Keep Learning & Growing Your Skill Set
There’s no endpoint to becoming an expert.
And there are many other skills adjacent to SEO that make you more effective.
Study web development, copywriting, or even graphic design.
Get familiar with a particular industry or specialize in a certain type of content.
Continually expanding your skillset deepens your expertise and sets you up as a knowledgeable resource.
And it also makes YOU more valuable – so you can earn more or charge more.20. Learn from Your Mistakes & Repeat Your Successes
SEO isn’t an exact science, and experts learn a lot through trial and error.
Mistakes are inevitable.
Learn from them and move on.
On the flip side, when you do something that works, make a note of it.
Do it again.
Until it doesn’t work.
Then it becomes a mistake that you can learn from.
The point: never stop learning and improving.21. Be Patient
Like I said at the beginning of this post, becoming an SEO expert takes time.
Ride the wave of algorithm changes.
Get thrown off by updates to search tools.
Build your community.
None of these things can be rushed.
But if you have the passion for it, the payoff is a rewarding, in-demand career.Summary
Being an SEO expert opens up a world of opportunities.
You can play a vital role in launching a startup.
You can upgrade the online presence of a 50-year-old company.
You can help a solopreneur reach new audiences.
You can help a retailer crush its sales goals.
There are a lot of skills you need to develop to become that trusted resource.
But it all starts with patience, integrity, and hunger to learn.
Featured Image Credit: Paulo Bobita
Learning Beginners Topics
In this section, any new beginner should concentrate on fundamental programming concepts and properly grasp the basic components of programming.
The following is the list of recommendations for a beginner to become an expert python programmer −
Variables − You must understand how variables work, the different types of variables, the scope of variables, and why we even need variables in programming. You can also learn about mutable and immutable data types, which are selfexplanatory.
Operators − Operators are important in programming since they are the tools that are used for computation, variable assignment, condition evaluation, and loops.
Conditions − When it comes to decision-making conditions are dominant. You will need to understand Boolean conditions, conditional chaining, and the statements used to check conditions in this section. This is commonly associated with loops and iteration. You must be familiar with the various loops accessible in the language, such as for and while loops.
Basic Data Structures − Data structures play a key role in every program. There are various other data structures to learn, but the primary focus should be on lists, sets, dictionaries, and tuples.
Functions − Functions are important in any program. The combination of many functions within your programs is what causes the program to behave as expected.
Basic understanding of IO operations − This is not a difficult task. How to read from a text file is the concept to understand. How do you save a text file? Can you read CSV files? These are things you may need to accomplish, especially if you want to create real-world apps or store something in a file. So it will be the fundamental section for you.
Unit testing − You must know how to perform test-driven development in Python or any other programming language.
It is essential that you practice the skills in this area since mastering or having a thorough understanding of the basics will make your Python journey easier.Learning Intermediate Topics
The following are the main concepts that an intermediate python programmer must learn −Object-oriented programming (OOP)
Yes, it seems to be a very popular word. It requires a thorough understanding of classes, objects, and many concepts like instantiation, inheritance, abstraction, properties, and others. Learning this will help you a lot. If you only remember one thing from this intermediate level, it’s that you need a solid foundation in object-oriented programming in order to understand anything above this level.Design patterns
When it comes to object-oriented programming, design patterns and best practices are essential.Data structures
After you’ve mastered object-oriented, you must learn about data structures. Explore topics like queues, hash maps, and stacks, to name a few. These subjects will be discussed, and knowing the efficiency and temporal complexity in big O notation is crucial. Don’t be frightened if you don’t grasp some of the terminologies. You will make it.Comprehensions
So list and dictionary comprehensions are extremely cool, fancy-looking things in Python. They are techniques for writing one-liners (writing a whole independent statement in one line).Lambda functions
These are anonymous functions. These functions are commonly found in collection modules, but they are not limited to them. Learn more about the Lambda function and its finest applications.Inheritance Dunder Methods
If you’ve ever seen def__init__ or used a function that looks the same, that’s an example of a Python special method. These will be simple to learn once you’ve mastered the functions in the beginner section.Pip
This is one of Python’s best features because pip is a package manager that allows you to include third-party modules in your codes. This is related to learning about Python environments such as Anaconda and how to use them. You will also learn how to design and use your own modules in this section.Learning Advanced Topic Decorators
They are associated with object-oriented programming. In layman’s terms, they decorate a function or method.Generators
Generators are a method to efficiently use memory in Python. Assume you’re generating a collection rather than the whole thing. If you just need access to one item from that collection at a time, you can generate one item at a time. It does not have to be one item; it may be two or three. A generator can be used for this purpose.Context managers
Context managers are usually indicators of a cleanup operation that occurs after you exit/break the context manager.Metaclasses Concurrency and parallelism
This needs its own article because it is a really long subject to get into.
Concurrency is the task of running and managing numerous computations at the same time, whereas parallelism is the task of running several computations simultaneously.Cython
This might definitely be classified as expert or master level, but Cython is essentially how you develop C code that interacts with Python. So, if I have a really performance-heavy piece of code or operation that needs to be done rapidly and I don’t trust Python to do it for me, I can write it in C and then link it up to Python using a module called Cython.Learning Expert Topics
You most likely have a vision of what you want to do at this stage. Consider it specialization. You can pursue a career in data science, machine learning, artificial intelligence (AI), or full-time web development. To be honest, each specialist delves deeper into a specific path chosen. There isn’t anything to write about that is relevant at the expert level. Every particular route necessitates more involvement, which you, as the developer, will select.
We cannot offer you a timetable for when you will arrive. It everything usually comes down to your dedication and passion.Conclusion
If there is one industry that grew exponentially during Covid-19, and still continues to do so, it’s Fintech.
Fintech refers to the “financial technology” that overlaps with both banking and payment processing systems.
While there are many ways of defining it, it generally refers to any organization or service that provides financial products and services using technology. This usually includes software or virtual apps instead of traditional brick-and-mortar channels. Like physical banks or ATM payment processors.
This also includes all branches of digital banking, payment processing, Fintech startups, and financial data providers. All under one umbrella basically.Making Financial Services Affordable
With the introduction of Fintech, banks were suddenly under incredible pressure to stay competitive. Especially during the early days of Covid-19. The need for digital payment solutions rose exponentially and with this changing landscape, solutions were needed fast.
Whether you were getting a payday loan in Toronto, or some personal loan in Australia, now the only way to do it was online, or in some other digital manner. This cut down costs and made things quite affordable for the masses.
Due to this, there has been a massive increase in the number of Fintech companies worldwide.
As these new ventures are growing, traditional banks are taking note and making plans to enter the space themselves.
For example, The Bank of England and Bank of Canada joined World Bank and launched a new global Fintech initiative in Paris.
The new initiative, dubbed “Fintech Lab,” was founded to help countries around the world establish themselves as global Fintech hubs. Fintech Lab will also be focused on promoting financial inclusion, including financial literacy for all
The Cambridge Centre for Alternative Finance Fintech is looking to transform how innovation and creativity in finance happens. It serves as a hub of knowledge and expertise that will help shape the future of financial services. It will be instrumental in shaping leading-edge solutions, new methods and creative applications for this industry.
Also read: Top 10 Helpful GitHub Storage For Web DevelopersDeveloping Countries Love Fintech
Due to Covid-19, the underdeveloped banking infrastructure in developing countries needed a complete overhaul. This time was seen as an opportunity to bring in new innovative ideas from the Fintech space. To completely change and revolutionize their current systems.
This has helped tremendously. Especially the continent of Africa. Where people can fulfill their banking needs just through their phone now. Before, they didn’t even have access to real banks. If they did, it was very limited and complex.
Africa’s internet costs are quite high. Now the hope is maybe Fintech can find an indirect solution to reduce these costs as well.
No matter how you look at it, it seems like Fintech is here to stay.
Also read: The 15 Best E-Commerce Marketing ToolsThis Trend Will Continue
From the COVID-19 FinTech Market Rapid Assessment Study, the global Fintech market is expected to grow at a CAGR of over 40% in 2023.
The COVID-19 FinTech market is growing rapidly in recent years because of innovations in technology. The study predicts that it will reach USD 780 billion by 2023.
The study also indicates that blockchain will be one of the most disruptive technologies for the finance sector in 2023 and beyond.
As it offers faster transactions with lower costs to businesses and consumers. Blockchain is also becoming known as Fintech 2.0.
Let’s see what happens in this very exciting space as it continues to expand by leaps and bounds.
Cryptocurrency can drive growth in the Indian fintech industry with DeFi platforms
The Indian fintech industry is expected to hit US$84 billion in 2025 with a CAGR of 22%. The fintech industry has started thriving in India since the global digital transformation and the ‘Digital India’ scheme by the Government of India. It is well-known that there is a rise in cryptocurrency investment or exchange in the fintech sector of India. Investors, as well as fintech companies, are highly interested in the cryptocurrency market for the growth of the Indian fintech industry efficiently and effectively in the tech-driven future. Let’s explore the importance of cryptocurrency in the growth of the Indian fintech industry. The rising demand for multiple cryptocurrencies such as Bitcoin, Dogecoin, Ethereum, and hundreds of others has created a major impact on the economy of any country. Being a developing country, India is now focused on the cryptocurrency market and multiple investors, business people, companies, banks, and other financial institutions have started taking a huge interest in popular cryptocurrencies. A government policy on cryptocurrency holds the potential of ample growth in the Indian fintech industry through more job opportunities, utilizing tech talents, improving financial infrastructures, eliminating scams and frauds, and many more. It tends to increase the revenue and motivate to become one of the global powerhouses across the world. India can solve multiple financial concerns and issues with the implementation of a decentralized financial platform while accepting cryptocurrencies as a legal payment method. The introduction of the use of popular cryptocurrencies in the cryptocurrency market can make the monetary policy of India stronger and better than the existing one. Bitcoin holds the potential to reduce much burden on regulators such as control over fraudulent activities. The fintech industry of India has given rise to multiple different fintech companies and start-ups that have successfully raised around US$1 million or billions of dollars from different fundraising events such as Series A, Series B, Series D, and many more from lucrative investors.
The Indian fintech industry is expected to hit US$84 billion in 2025 with a CAGR of 22%. The fintech industry has started thriving in India since the global digital transformation and the ‘Digital India’ scheme by the Government of India. It is well-known that there is a rise in cryptocurrency investment or exchange in the fintech sector of India. Investors, as well as fintech companies, are highly interested in the cryptocurrency market for the growth of the Indian fintech industry efficiently and effectively in the tech-driven future. Let’s explore the importance of cryptocurrency in the growth of the Indian fintech industry. The rising demand for multiple cryptocurrencies such as Bitcoin, Dogecoin, Ethereum, and hundreds of others has created a major impact on the economy of any country. Being a developing country, India is now focused on the cryptocurrency market and multiple investors, business people, companies, banks, and other financial institutions have started taking a huge interest in popular cryptocurrencies. A government policy on cryptocurrency holds the potential of ample growth in the Indian fintech industry through more job opportunities, utilizing tech talents, improving financial infrastructures, eliminating scams and frauds, and many more. It tends to increase the revenue and motivate to become one of the global powerhouses across the world. India can solve multiple financial concerns and issues with the implementation of a decentralized financial platform while accepting cryptocurrencies as a legal payment method. The introduction of the use of popular cryptocurrencies in the cryptocurrency market can make the monetary policy of India stronger and better than the existing one. Bitcoin holds the potential to reduce much burden on regulators such as control over fraudulent activities. The fintech industry of India has given rise to multiple different fintech companies and start-ups that have successfully raised around US$1 million or billions of dollars from different fundraising events such as Series A, Series B, Series D, and many more from lucrative investors. The outbreak of the coronavirus pandemic has created a massive loss in the Indian economy. The bull markets of cryptocurrencies can provide sufficient opportunities to earn income from the cryptocurrency market in these unprecedented times. India has a large customer base and transactional volumes that are appropriate for the contributions of cryptocurrency in the growth of the Indian fintech industry.
The consumer packaged goods (CPG) and retail industry faces major challenges globally with an uncertain economy, digital competition, and a new generation of customers who are highly demanding and informed. Today’s disruptive innovations have opened up avenues for CPG and retail companies to improve market share and margins. Analytics Insights spoke to Anthony Kilili, Head of dunnhumby India to understand how insights related to sales, inventory and customers are extremely crucial and how the company offers solutions which help retailers and CPG companies drive significant decision-making. Analytics Insight: Kindly brief us about the company, its specialization and the services that your company offers? The existence of a Media Business alongside our Retail Analytics tools & consulting makes our offering and competitive positioning rather special: we have a unique product and service portfolio for retailers and CPGs. In order to fully harness the benefits of customer analytics, a clear and comprehensive customer focused strategy is required supported by appropriate team structure. The first step in this process is to ensure data management and utilisation is optimised in secure fashion. dunnhumby can support both the development of customer data management and optimisation all the way through to execution of customer and media strategy. We can both enhance and execute a retailer’s customer-focused strategy, whilst developing collaborative relationships with CPGs. dunnhumby can effectively, and quantitatively elevate & demonstrate marketing effectiveness, whether it be a new product launch, or a branded media campaign online or instore. Analytics Insight: What is your biggest USP that diﬀerentiates the company from competitors? Anthony: dunnhumby has more than 30 years’ experience in customer data science, with presence in 27 countries, analysing insights from more than 800 million shoppers globally and delivering almost 5 billion personalised shopping offers. It uses customer data science to deliver exceptional customer experiences in-store, offline, and online. dunnhumby has arguably the best science in the world. When we apply our IP to transactional data, we can build a powerful picture of what people are actually purchasing and work with retailers and suppliers to make good business decisions that put the customer first. Grocery is our primary specialisation. Our first priority when working with a retailer is to look at what products they sell, and what store they should sell them in. Our next step is to organise the approach to promotions We look at • Who are your customers • Why they come to store • What they buy and when We create revenue for retailers by offering services to manufacturers as data is valuable insight. Analytics Insight: Please brief us about the products and services you provide to your customers and how do they get value out of it. Anthony: dunnhumby partners with both retailers as well as manufacturers. The retailer engagement model works either as a long-term joint venture or as a small to medium term contract. We work with retailers like Tesco, COOP, Homeplus etc. Our engagement with manufacturers works either as small to medium term contract for SHOP and/or through custom insight solutions that dunnhumby offers to its manufacturer partners across a broad spectrum. We also work closely with CPGs like Pepsi, Coke, P&G, Unilever, Cadbury, Nestle etc. dunnhumby always puts the customer first. We work with retailers and CPGs to build long-term loyalty and drive incremental sales by delivering the most relevant and personalised experience for Customers. We build foundations of: • Customer Insights • Audiences • Channels • Propositions We use our science to help you see, engage and serve your customers in a more effective way that brings commercial benefit to your business. Our Customer Centricity Study shows that customer – led businesses outperform their competition with the top 25% achieve +3% growth in L4L sales and 7% growth in market share This underpinning of prescriptive analytics and machine-learning forecasting means we have learned how to uncover and unlock opportunities to find wasted investments in Customers, to conserve and optimize only those investments that work to grow loyalty and sales, and to commercialise your data assets. And the areas where we can help?
Analytics Insight: What’s your growth plans for the next 12 months? Anthony: In the last 12 months we grew our client base by 25% which we will continue to nurture. We have significant growth plans as we explore new industries and geographies as well as deepen our work with Retail where there is still incremental opportunity. For example, we have recently launched in Australia and New Zealand where we hope to build into one of our top 5 markets globally in the next 3-5 years. We have also launched a new media business where our operating model (OM) combines media, science and partnership capabilities to build connected media plans. These bring together offline and online customer experiences, resulting in seamless, personalised campaigns with measurable and actionable results that businesses will be able to benefit from. Analytics Insight: What is the size of analytics team at dunnhumby? Anthony: 25% of our workforce are data scientists and analysts. Analytics Insight: How does your company’s strategy facilitate the transformation of an enterprise? Anthony: Strategically we have evolved our offering to be able to work with retailers in many ways to ensure that we can be flexible in our offer. Some just need software if they have their own talent pool and established team and some need a whole dedicated dh team to work for the retailer specifically. This means we are flexible in how we work and who we can work with. We bring our long-standing knowledge from 30 years of experience and our world leading science to businesses but applying the theory of putting the customer at the heart of every decision, which ultimately transforms results for the business. Many companies have a huge amount of data these days. But knowing what to do with it, having the science to apply to it along with the knowledge to create insights and capability to action is rare. That is the value dunnhumby can bring. Few case studies • Kroger achieved 53 quarters of L4L growth even throughout the recession when all other grocery retailers declined. • Our Customer Centricity Study shows that customer – led businesses outperform their competition with the top 25% achieve +3% growth in L4L sales and 7% growth in market share. • Shoprite achieved margin and revenue growth of +1.5% by partnering with dunnhumby including +19% profit from analysis of core product assortment and 2-8% category sales uplifts. • Coop Norge achieved +24% sales and shelf improvements in 13 weeks and +8% more baskets – +61% customers buying front page items and+1% L4L growth with new promo flyers. Analytics Insight: What is the reason that organisations are using analytics/big data/AI/ML/Big Data Analytics? Anthony: Big data analytics have taken a predominant spot in the corporate world as numerous case studies arise on how businesses have been positively transformed through data-driven decisioning. Big data analytics enable companies to make more informed decisions, a crucial point in competitive differentiation. Application of analytics provides gains in terms of cost reduction (e.g. by using predictive models to optimize marketing budgets), faster time to action (e.g. by using real-time data streaming analytics for online product recommendations) and innovation (e.g. by understanding customer needs and personalizing offerings to meet those needs). To remain relevant, organizations across all economic sectors will need to mine through the vast amounts of available data to find actionable insights needed in an era where customer demands are rapidly changing and the competition is continuously innovating. Analytics Insight: How are disruptive technologies like Big Data analytics/AI/Machine Learning/Cloud Computing impacting today’s innovation? Analytics Insight: What have been the most significant challenges that you have faced at the forefront of analytics? Anthony: One of the big challenges is a shortage of talent. The demand for data science professionals continues to increase as more organizations switch to big data strategies. Successful data scientists are proficient in Advanced Analytics methods such as Machine Learning, they are savvy programmers and can quickly understand the business context. This combination of skills is not easily found at scale. This can be mitigated by working with specialized third-party data science partners. Analytics Insight: What are business benefits of handling data analytics & implementing a real time decisioning platform? Analytics Insight: Can you throw light on the latest employment trends in big data and analytics industry?
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