Article | March 17, 2021
In the ongoing technological era, the outsourcing software development company transports their valuable resources to their core business model and helps businesses to save a lot of time and money. To survive the digital era for financial institutions helps to drive efficiency in Fintech companies. Moreover, software development outsourcing companies offer solutions that enable financial institutions to manage bulk data, tech products, and much more to build an efficient environment with their tech services.
The financial service industries are becoming a leader in software development and corporate new strategies for fintech businesses. Many companies are planning to use this working model that is specialized in all processes and seek more agility and quality.
Outsourcing software development to the fintech industry can bring many gains to companies, so, in this blog we’re going to look at them closely. According to research, investments in fintech are expected to reach $40 billion in 2021. Additionally, software outsourcing companies makes the development process smooth and improves the quality of data analytics in the industry.
Read on to know the benefits of outsourcing software development to the fintech industry and achieve the dedicated digital transformation goals of your business.
What Are The Benefits Of Outsourcing Fintech Software Development?
Expand your business development
The benefits of outsourcing software development services creates a pleasing and commending condition for the fintech industry. It becomes easier to execute actions and plan for the company’s expansion if the management focuses on the core business and internal quality processes.
Additionally, the development service provider also helps to sustain the growth of the operation without investing huge investments in infrastructure and technology.
Economies of scale
If you’re planning to internally develop a software application requires both money and time. And not everyone has an extended IT team with dedicated developers. In such situations, software development outsourcing companies become your partner. The services provided by software outsourcing agencies for fintech development helps businesses to achieve economies of scale and allow them to invest more time on core competencies and perform critical tasks.
However, software development outsourcing offers competitive advantages to fintech industries by minimizing costs, better customer service, and maintaining product quality with an affordable budget.
Optimize time for dedicated professionals and managers
Hiring outsourcing software development services helps businesses a practical and sensible optimization of the time of professionals and managers. If your business is planning to enhance the process of professionalism.
To such a degree, fintech industries can directly help to increase the capital and implement strategic tasks and analyze surveys that collaborate to make the right decisions. Thus, outsourcing software development helps to monitor indicators and supervise the possibility of risk to the company.
Risk Management/ Critical-path method
IT outsourcing software development service providers carry a lot of risks. So to grab the absolute advantages, an organization should build effective risk management plans.
Reducing the number of data breaches is one of the most important challenges faced by many fintech industries. This challenge is even more critical when you consider the information type such as salaries, credit card information, social security numbers, and much more which can be used by criminals for gaining profit. Various components and operations help to reduce risks and provide a successful path for outsourcing when you know the challenges and tackle the situation.
Increased profits through data analytics
Finance is the leading data collection and analytics industry that helps to increase software profit via data analytics. Popular investment banks like Goldman Sachs and JPMorgan have employed specialists who analyze data when issuing trading futures.
These fintech software development industries are now identifying customer data and helping them to increase sales and promote customer loyalty. To analyze creditworthiness and provide services to each customer they use credit scores and demographic data that also helps them to build analytics software with the Python programming language.
Reduce software server load via cloud computing
To implement cloud computing technology, the fintech industry has been reluctant to use web-based storage for bulk data which is vulnerable to hackers. There are few improvements in data security that have led banks to begin integrating modern technology into their core business functionalities.
To store sensitive business information related to accounting and communications, many banks are using cloud computing. In recent years, it is reported that the SaaS model is one of the best models that is implemented by fintech software enterprise to store emails, contact lists, and other important information online.
Faster product development
Hiring software outsourcing companies helps fintech industries to start your projects quicker and complete them before the deadline. The outsourcing enterprise implements traditional hiring processes for software development projects and instructs those dedicated developers to perform critical tasks who can start product development without investing much time on the hiring process.
The dedicated team of developers working at any outsourcing companies help to shorten the fintech software development lifecycle and work on multiple projects to quickly resolve common problems and reduce the overall length of the software.
The fintech enterprise is investing millions of dollars to build custom software according to their business requirement to survive in the new data-driven marketplace. Leveraging a fintech software development service is much bigger than just launching a system that enables the creation of innovative fintech solutions in the future.
Many of these companies are switching to fintech software development that provide a dedicated development team to perform critical and complex tasks of any software and reach their goal without distracting from their core missions.
Article | March 17, 2021
The axing of third-party cookies by Google and the other major browser companies will require a major readjustment by financial services organisations.
The decision, coming fully into force next year, will effectively choke off the data that has enabled personalisation, optimised website interactions and driven much internet advertising. It is no comfort that the browser companies have acted because of fears about infringement of privacy and data protection legislation such as the EU’s GDPR (General Data Protection Regulation) and the CCPA (California Consumer Privacy Act) in California.
The move will affect how UK financial services organisations interact with millions of people. More than three-quarters of Britons now use online banking and 14 million use digital-only banks, expecting a slick, light-touch interaction. So it appears that just as many people go digital, financial services organisations will no longer have access to information they need for personalisation, being unable to track where customers go on the internet after they have visited a bank’s website. All that data about individuals’ habits and preferences will be unavailable.
It seems catastrophic, but in reality, it is not. Financial organisations have a new opportunity to radically improve how they interact with web visitors and customers. AI-powered behavioural analytics offer far superior, real-time capabilities, using the data from the first-party cookies on their own website domains and where available, data from customers’ transaction histories.
The result is a solution that is faster, more accurate and responsive than conventional technology relying on cookie data owned and stored by third-party organisations. Instead of relying on such data for relatively rigid profiling and personalisation, behavioural analytics enables real-time interactions based on a more dynamic picture of how an individual’s requirements are changing.
The technology analyses all the browsing characteristics including time on site, speed of movement and page views, as well as more obvious features such as interest in specific products. Historical data added to the analysis includes what customers did on previous visits and the interval between those visits, establishing patterns where possible.
The flexible advantages of behavioural analytics hubs in financial services
Segmentation allows a bank to identify customers as soon as they arrive on its site, according to whether they are a new or existing customer. Their behaviour then indicates what they want. Knowing what customers are interested in is important. Customers visit financial services websites for a host of reasons – from seeking information, to opening accounts, exploring loans and mortgage offers, making or setting up new payments. They may also want advice about investments and savings, pensions or small business finance. Almost all of these requirements involve quite complex mental processes which financial organisations can influence while consumers are on their sites.
Collecting the data is not difficult – the skill is in making it actionable in an effective way, replicating the ability of a perceptive employee to read a customer’s state of mind. Banks can do this by setting up a behavioural analytics hub to understand what a customer’s behaviour means and how it can be optimised.
Using customised parameters, the hub will, for instance, trigger a screen notification that prompts the web visitor to fill in a form requesting an appointment. In the case of existing customers, the technology can correlate health insurance offers with spending on fitness, and, in general, savings and investment recommendations can be tailored to the client’s concerns or goals as revealed by their navigation of a bank’s website or mobile app.
Banks can set up analytics to see when consumers are behaving in a way that indicates they about to leave the website, allowing them to intervene with a notification that could include an offer. This provides a positive outcome and avoids the blanket use of offers that undermines profitability.
It is a more sophisticated and personalised approach that avoids annoying pop-ups or recommendations that fail to match individual preferences. As part of a single AI-powered segmentation platform, the technology enables banks to personalise marketing content in SMS messages and emails sent to consumers (who consent), which deliver far better results through precise targeting.
Solutions for last-mile interaction in the open banking era
The single platform approach also has another major advantage. It is much easier to implement and far more efficient and streamlined compared with separate solutions for different parts of the customer journey.
The benefits of using AI-powered segmentation solutions should be part of the financial sector’s broader strategy to transform its systems for the open banking era as we approach the end of third-party cookies. For established banks, the reality for some time has been that complexity of systems has undermined their ability to deliver a high-quality last mile. This they can now address without huge disruption or investment.
The alternative is for financial services organisations to become lost on an ocean of data, losing track of customers. Behavioural analytics will bring banks new insights into customers that surpass third-party cookie data, being actionable and accurate and in real time. To provide a streamlined and profitable experience for themselves and their millions of customers, banks must now employ the latest advances in AI-powered behavioural analytics.
Article | March 17, 2021
The Fintech industry is consistently regulating itself since its inception. The industry has become a game-changer since the pandemic caused every consumer to look for convenience in daily transactions. Recent situations have created a necessity for Fintech companies to empower financial institutions as digital transactions soar to an all-time high, with the Indian Fintech sector at the forefront, contributing the highest in CAGR (Combined Annual Growth Report) globally.
According to the market research report of March 2020, Indian and Chinese markets contributed the highest in Fintech adoption rate (87 percent) out of all emerging markets worldwide. These numbers are a green signal for the industry to roll up its sleeves as market researchers expect the Fintech market to reach INR 6207.41 billion by 2025 in India.
As the Fintech world sees an all-time high upsurge, this article covers the list of 5 Fintech trends to look out for that will shape the banking industry. But before that, let's take a look at what Fintech is, and what value it can provide.
What is Fintech
Fintech is an abbreviation of Financial Technology and refers to the emerging technologies in finance that provide improved business solutions to clients, and a convenient way to transact. Fintech helps customers to interact and exchange value with businesses more efficiently.
Fintech is neither a software, nor a brand name. You can describe Fintech as a collection of technological advancements in the financial sector to ease up transactions. Fintech trends help customers do banking in a faster, smarter, and efficient way.
Fintech is on a bull run with the ongoing pandemic covering the finance industry and making users pay without wasting any time or physically being present. With Fintech, financial institutions use technologies like blockchain, artificial Intelligence, biometrics, electronic and mobile payments, etc., to make their business more efficient, helping them interact with their customers effortlessly.
New upgrades and innovations in Fintech allow businesses to integrate their financial accounts with secure mobile applications. Receiving and making payments, alerts, and tracking invoices have become swift due to this integration and allow users to undertake time-intensive activities within seconds. With the help of Fintech, you can sell or buy products and pay for them from anywhere around the world—that is how Fintech is changing the world.
5 Fintech Trends That Are Shaping the Future of Banking
Financial firms are aggressively taking on Fintech
Financial firms and banks are adding new features in their cashless transactions to fit this pandemic-hit economy. Fintech offers convenience to customers as it has multiple options to choose for cashless transactions like mobile wallets, QR codes, contactless payments, etc. It provides a speedy process for payments and digital loans and can create dynamic growth in financial services. This acceleration will continue to groom the investments until banks and Fintech become interwoven. Now, it is just a matter of time for Fintech to emerge as one of the most booming industries.
Blockchain and Big data
Although blockchain and big data are on a bull run, there are miles to go before it enjoys a major slice of the market. This full swing of blockchain and big data may disrupt if challenges like cyber-attacks and fraudulent activities don't get addressed. To help overcome these obstacles, financial services adopting blockchain technologies can utilize Fintech. This implementation will help reduce fraudulent activities, phishing, and cybercrimes while generating trust with the customers. Looking at all the advantages that Fintech offers, banks adopting blockchain technologies will benefit the most out of it.
Artificial Intelligence & Machine Learning
Additional fields where the Fintech industry has to shift its attention are AI (Artificial Intelligence) and ML (Machine Learning), where there is a lot of room for growth. Progressively, Fintech brands rely heavily on AI technologies to reduce costs and monitor transactions closely.
Experts predict AI will lower the cost of financial services up to 22 percent in the next five years. Through Machine Learning, banks can offer ease of use to their customer with speedy transactions, automated trading processes, and secure payment processing.
Providing multiple services on a Single Platform
Instead of downloading a separate app for each financial service, any customer would prefer to have a single platform that can do everything. Many banks have already taken a step to offer multiple services across one app. It may increase the cost of building such apps with powerful API integration, but soon enough, it pays off as most financial services will turn to those banks that offer 'single platform, many features' apps. Some financial institutions may not deliver this kind of app, but the Fintech industry is sufficient to meet their demands.
Fintech becoming 'the new normal.'
The Fintech industry is slowly taking a step towards the general community of consumers. As the need for secure payment processes and easy accessibility of transactions keeps increasing, so does the value of Fintech serving these demands.
Adoption of data analytics will garner a massive Fintech market in the upcoming days. According to market research experts, banks have already started providing financial services with a customized and local offering to their customers by closely watching market movements and data analytics.
What should we expect from here?
As the need to balance the demand and supply of financial transactions keeps increasing, payments and the banking sector need to keep up the speed. It is only a 'wait and watch' game to see to what extent the Fintech market grows.
Frequently Asked Questions
What is the next big thing in the Fintech industry?
AI and blockchain are the next big thing that would take over the Fintech industry by storm. Artificial Intelligence like chatbots reduce the front-desk manual work and can be available 24/7 to help the users. Blockchain provides security on every customer transaction on payment platforms.
What's new and trending in the Fintech industry?
Financial institutions are focusing on financial literacy to enhance the banking experience for users. They have more control over their expenditure and savings through innovative features of Fintech, like income and expense analytics.
What are the benefits of Fintech for banking?
Through new Fintech innovations, the Fintech industry is reaping the benefits of improved global money transfers. Here are some of the benefits banks get through Fintech:
• State-of-the-art security and compliance
• Better speed in transactions
• Enhanced transparency
• Reduced costs
"name": "WHAT IS THE NEXT BIG THING IN THE FINTECH INDUSTRY?",
"text": "AI and blockchain are the next big thing that would take over the Fintech industry by storm. Artificial Intelligence like chatbots reduce the front-desk manual work and can be available 24/7 to help the users. Blockchain provides security on every customer transaction on payment platforms."
"name": "WHAT'S NEW AND TRENDING IN THE FINTECH INDUSTRY?",
"text": "Financial institutions are focusing on financial literacy to enhance the banking experience for users. They have more control over their expenditure and savings through innovative features of Fintech, like income and expense analytics."
"name": "WHAT ARE THE BENEFITS OF FINTECH FOR BANKING?",
"text": "Through new Fintech innovations, the Fintech industry is reaping the benefits of improved global money transfers. Here are some of the benefits banks get through Fintech:
State-of-the-art security and compliance
Better speed in transactions
Article | March 17, 2021
The world began its course to become a digital open book after the internet came into existence. With almost everything available for purchase, the internet has brought the world to the buyer's doorstep. With the purchase, comes the data, and with effective use of the data collected within a period, any industry can speculate the buyer’s journey and take compelling steps to attract the buyer.
Looking at the facts, around 93% of purchases start with internet research. Intent data is the name of the collection of the behavioral signals that a user shows while purchasing anything. This data helps businesses be available at the right time and the right place to pitch their product to the customer who is already interested in buying what they are selling.
Businesses can analyze these signals, accurately understand where the prospect is in its buying journey and can give a solution to the problem. With intent data, even financial institutions can up their game and generate greater ROI while accurately predicting the buyer’s position in its purchase journey, and provide the best value to attract him/her. With over terabytes of intent data available for use, financial institutions can use it to flourish in this pandemic hit economy, using fewer resources and marketing their services to ready to buy consumers.
Since its inception, intent data is on the top priority of every marketer’s to-do list, with its usage in advertising campaigns, outreach campaigns, content creation, SEO, etc. This article covers how financial institutions can use intent data to their advantage, provide value to the user, and draw massive attention to their platform to reach their ultimate goal and generate more revenue.
Before going further, let’s understand the basic concept of intent data and its type that comes into the use for financial institutions.
WHAT IS INTENT DATA?
Intent data refers to collecting information on online behavioral insights of internet users or prospects, allowing you to better focus on the audience that has more chances of buying your products or services.
To put it simply, intent data will help you display your product or services to those already searching for it. For example, your financial department is facing challenges to keep the accounting on track, checking the organization’s financial status, etc.
While, you look for the solutions online, you Google “best financial tool for in-house accounting.” Out of millions of search results, your search concludes with some of the top tools like Robotic Press Automation (RPA) in accounting kept aside. Now, your search would be more specific and according to the selected tools.
Now, for comparing and selecting the best tools, you may Google-
“How RPA keeps track on accounting?”
“What is the ROI of RPA in accounting for small enterprises?”
“What is the role of RPA in accounting?”
And so on. Notice how your search query got specified after some informative searches. Imagine having the power of intent data of your customers and satisfying them with your content. Intent data helps you nurture a highly targeted audience and eventually convert them into your clients.
When prospects face challenges, they search for the solution online. While providing the solution for any specific query, websites ask the prospects to accept their cookies. These cookies monitor their intent of searching and this data is then pushed to the marketers to mold their campaigns suited better for these targeted customers.
Let’s look at how financial institutions can focus their campaigns on highly targeted prospects with types of intent data.
TYPES/SOURCES OF INTENT DATA
The types of intent data divide the vast information of intent into three types - first party, second party, and third party.
The data you now gather on known contacts and anonymous visitors is first-party intent data. It can also involve prospective website connections, newsletters, emails, and social media. You can use the first-party intent data to segment messages, build workflows, and get more leads. You can assist your marketing and sales team in determining how to approach and convert a prospect.
Second-party data refers to data collected by another company. It is like gaining insights into your prospects from the shops they have visited earlier. The second-party intent data includes review websites and publishing networks. And all this information is voluntarily provided by the user. Sometimes, the user may also share the contact details and their business email id.
While some systems only track a network of pages, third-party intent data is gathered from all across the web. In several cases, this intent data is extracted using one of 3 techniques: reverse IP lookup, Bidstream data from ad networks and widgets, and media exchange/publishing participants. Third-party intent data can show the user’s intent that is relevant to your campaign.
STEPS TO BUILD GREATER ROI FROM INTENT DATA
How can a financial institution decide whether a particular lead is worth its investment? Answer: By lead qualification.
By segregating each lead into three types, you can decide whether the prospect is an active buyer or someone who wants some information over the web. It allows the marketing team to use their time efficiently and target the leads which are likely to convert. For significant ROI from intent data, financial institutions should gather intent data and segregate it into three types of B2B data- Fit data, Intent data, and Opportunity data.
Fit data shows how well your product or services fit the need of the customers. Imagine if a financial institution provides loans on a low credit score, and a user searches for loans on a low credit score, we can call this collection of information as fit data. With this information, you can efficiently use your time and investment to target a specific prospect. This information collection may include the prospect’s age, sex, job level, job function, and the residing location. Fit data is generally the data that won’t change quickly. It may give you a right fit of prospects for your campaign but cannot tell you the right time or context of search intent.
Opportunity data is event-based data on particular prospects. Suppose, you are a financial institution providing a car loan on reduced interest rates, and you come to know that a specific company is crediting bonus salary to its employees. If you market your car loan services to their employees, you can have more leads as you know they have a bonus salary in their account. This is called an opportunity data, which sometimes is also referred to as data scoops that give you information about favorable conditions for sale. As the name suggests, the opportunity data gives you the data of a perfect opportunity to market your services to targeted prospects.
Intent data indicates that the time has come to engage with folks who actively express a desire to acquire a solution. When the intent data is integrated with other signals and a solid fit, the chances of conversion increase dramatically.
It's helpful to know when there's movement at a company, but if you don't know who to connect with and don't have a phone number or email address for them, it's only informative. You need actionable data along with intent data to perform a perfect marketing campaign.
COMMON USE OF INTENT DATA
A Segment to sort out active prospects
With the use of intent data, B2B marketers find companies actively looking for products or services they are serving. Intent data solutions provide segmentation tools that you can utilize to sort out active prospects that fit perfectly with your services.
This segmentation tool can help you filter your prospect with an unlimited combination of the type of company, contact details, location, industry, and technology they use.
Intent data for Account-Based Marketing
Leading B2B marketers use intent data to drive their ABM campaigns as it naturally fits these campaigns. ABM and intent data are the two sides of the same coin, as ABM delivers results through specific account’s interest and intent data provides timely opportunities to initiate the contact. Integrating both helps you elevate your marketing reach.
Intent Data for marketing campaign Optimization
Integrated marketing strategies help financial institutions because marketers can pump useful insights to drive effective and relevant demands. The sales team of financial institutions get into the conversation with the buyer while having more information on their pain points and what solutions they are looking for, giving them an upper hand in exchange.
SIGNIFICANT FINANCIAL MARKETING TREND
With the help of effective machine learning and artificial intelligence, insight-driven marketing helps financial institutions to offer financial assistance to the right fit of customers. Marketers can further collect the right type of customers that fits the services and not the other way around. Prospects with other financial needs can be routed to more appropriate services you offer.
Awareness of the customer journey
Intent data helps financial institutions optimize and understand the customer journey and correctly map customer interactions. It enables to influence the end-to-end experience of the customer. By having a perfect understanding of where the customer stands in the customer journey, financial institutions can market their services according to their needs.
Intent data allows the marketers to look further into the minds of their prospects. It enables them to read the customers as an open book while segmenting them on their thought process. For example, which customer is more savings-oriented? Which one is planning for their retirement? With these insights, marketers can match the right customers to their services with the relevant type of marketing to compel the audience.
TYPES OF MARKETING SIGNAL AVAILABLE
Signals are the hints prospects resonate, showing financial institutions they are ready for being potential customers. These signals are everyday actions like Googling stuff they need orLike hard searching online, clicking on financial institution ads, applying for any loans, and paying off debts. Financial institutions can use these signals to run highly specific marketing campaigns.
Let’s look into these marketing signals further.
Most marketing signal falls into three major categories, such as:
The behavior-based marketing signal includes hard searching like credit inquiries and online searches that signal intent to look for services. It may also include some minor changes that indicate future requirements like a change of residence or buying intent of large purchases like automobiles and real estate.
Event-based marketing signals include automobile lease expiring, mortgage rate settings, or child passing the high school. These are the hints that indicate the prospect is going to have a requirement for your services. These signs show that the customer is about to have a significant financial shift, and financial institutions can use this opportunity to market their services.
Predictive signals are passive hints that prospects show. It may not be as obvious as behavior-based, but it can set a boundary to your targeted customers. Some of the predictive marketing signals could have data of savings, debit consolidation, and mortgage refining. Predictive marketing signal can give low fidelity and can assure you the maximum coverage of your marketing campaign.
Using signals to attract and retain consumers is an effective component of a well-thought-out marketing strategy. Moving to a signals-based strategy, on the other hand, does not have to be a huge overhaul of your current procedures. Continue to use your tried-and-true strategy, but experiment with new ways of analyzing and responding to signals.
Worried about how much money you'll need to set aside to fund the signal-based marketing strategies?
You can assess the ROI of the marketing strategy before expanding your program if you start with a scalable service with no commitments.
Traditional signals continue to be relevant and form the basis for customer-focused marketing. Combining them with potentially powerful signals that indicate purchase intent will enable proactive communication and elevate financial marketing initiatives to the next level.