In the dynamic realm of fintech, a robust analytics strategy is not just a choice; it’s a pivotal step towards sustainable growth. 80% of successful fintechs attribute their growth to robust analytics strategies. In an era dominated by data, understanding and harnessing the power of analytics is the cornerstone for fintech success. This journey begins with crafting a tailored analytics strategy, aligning data-driven insights with business objectives, and charting a course that leads to innovation, efficiency, and enduring success.

Analytics in Underwriting Processes

 

Moving beyond theory, let’s explore how Insight Consultants practically applies analytics to revolutionize the banking and financial industry. At the forefront of underwriting evolution, we leverage advanced analytics to streamline and automate intricate processes.

 

  1. Data Processing & Fraud Detection:In the quest to redefine underwriting, advanced analytics is harnessed through a robust Fraud Detection System (FDS). This strategic methodology detects irregularities, incomplete data, and potential fraud in the data processing stage, ensuring the authenticity and accuracy of crucial information for the underwriting process.
  2. Multi-tiered Validation: We utilizes AI-powered platform for multi-tiered validation. This sophisticated system meticulously validates facts obtained from the borrower’s credit report, enhancing the reliability and thoroughness of the underwriting assessment. Each tier contributes to a comprehensive and accurate validation process, ensuring a robust evaluation.
  3. Real-time Integration: Analyzing  data in real-time ensures a swift and dynamic underwriting process. This real-time integration ensures quick and informed decision-making for loan approvals. It exemplifies our dedication to staying ahead in the fast-paced financial landscape.
  4. Efficiency and Reliability: Implementing robust algorithms for automated decision-making significantly enhances the speed and accuracy of the underwriting process, eliminating the risk of human error. This accelerates loan processing times and improves overall reliability. Our commitment to efficiency is further reflected in real-time data integration, enabling swift and dynamic underwriting.

Revolutionizing Loan Qualification

Recognizing the intricacies of loan management where errors can lead to defaults and hinder business growth, Insight Consultants has strategically incorporated analytics techniques, bringing transformative changes to the qualification process in the following ways:

Creditworthiness Assessment

  •  Advanced analytics, including AI-backed algorithms, assess an applicant’s creditworthiness by analyzing financial factors such as income, expenses, and transaction patterns from bank statements. This ensures a comprehensive and accurate evaluation.

Redflag Identification

  • Analytics assists in identifying potential risks by flagging issues such as bounced checks, unusual activities, or recent loans. This enables underwriters to make informed decisions and ensures that candidates are thoroughly evaluated.

Personalized Credit Offerings

  • Accurate analysis of bank statements through analytics empowers lending institutions to extend personalized credit product offerings to users. This tailored approach aligns credit options with individual financial profiles, enhancing the overall qualification process.
 

Combining Forces: SignetCloud.ai Emerges

In the rapidly evolving world of fintech, the application of advanced analytics has become synonymous with innovation and efficiency. At the heart of this innovation is our cutting-edge product, SignetCloud.ai, fueled by advanced analytics techniques that have redefined efficiency and reliability in the banking and financial industry. SignetCloud.ai stands as a cutting-edge solution, revolutionizing the landscape of credit access and lending evaluations for financial institutions.

  • Slash fraud with AI-powered identity checks and transaction monitoring. ️
  • Supercharge customer on-boarding with friction-less verification, boosting satisfaction.
  • Make smarter lending decisions with data-driven creditworthiness insights, reducing bad debt and upping approvals.

 

SignetCloud.ai exemplifies how practical insights and advanced analytics can seamlessly integrate, empowering financial institutions to navigate the complexities of credit assessments with unparalleled precision and efficiency. As a testament to our commitment to redefining industry norms, SignetCloud.ai stands as a beacon, reflecting the practical application of analytics to revolutionize traditional banking and financial practices.

Contact Us to learn more about how our data and analytics services can contribute to the growth of your fintech business.

In the fast-paced landscape of fintech, crafting a robust analytics strategy is not just a choice; it’s a pivotal step towards sustainable growth. 80% of successful fintechs attribute their growth to robust analytics strategies. In an era dominated by data, understanding and harnessing the power of analytics is the cornerstone for fintech success. This journey begins with crafting a tailored analytics strategy, aligning data-driven insights with business objectives, and charting a course that leads to innovation, efficiency, and enduring success.

Architecting your Fintech Analytics in 7 Steps

 

  1. Define Business Objectives:  Clearly outline specific, measurable, achievable, relevant, and time-bound business objectives.
  2. Identify Data Sources: Assess available sources, ensure data quality, and integrate diverse datasets for comprehensive insights.
  3. Develop a Data Governance Framework: Establish policies and procedures for data management, ensuring accuracy, security, and compliance.
  4. Develop Advanced Analytics Capabilities: Apply advanced analytics, including predictive modeling and machine learning, to derive actionable insights.
  5. Establish Stakeholder Alignment: Ensure stakeholder buy-in. Through targeted sessions, gather and align requirements, needs, and pain points for early involvement, shared understanding, and collective ownership.

  6. Execute, Evaluate, and Optimize: Execute the analytics strategy and communicate the findings to relevant stakeholders. Regularly evaluate the impact of analytics on business goals, optimize processes, and adjust the strategy as needed.
  7. Scale and Evolve: Scale the analytics strategy to accommodate business growth and evolving data requirements.

Data Analytics Usecases in Fintech

 

As organizations successfully scale and evolve their analytics strategies, data analytics in fintech applications extends to various use cases. Let’s explore.

Risk Assessment & Fraud Detection

  • Firms use data analytics and machine learning to proactively counter fraud, enhancing risk mitigation and fortifying financial institutions’ ability to safeguard assets and customer trust. Fintechs leverage analytics for advanced credit scoring models, ensuring precise risk assessment in lending decisions.

Customer Experience Enhancement

  • Fintech firms use data analytics to offer personalized product recommendations tailored to individual financial behaviors and preferences. This approach ensures that suggested products align seamlessly with each customer’s needs, elevating satisfaction and fostering lasting loyalty.

Underwriting Optimization

  • Fintech analytics revolutionizes underwriting by meticulously evaluating diverse data sets, ensuring a comprehensive approach. This not only leads to more efficient procedures but also results in highly accurate risk evaluations, empowering financial institutions with data-driven decision-making and streamlined processes.

Operational Efficiency & Cost Reduction

  • Fintech harnesses analytics by collecting and analyzing diverse operational data, identifying inefficiencies, and automating processes to streamline workflows. Continuous monitoring and data-driven decision-making optimize resource allocation, enhancing operational efficiency and reducing costs.
 

Confronting Unique Challenges

Alongside exploring impactful use cases of data analytics in fintech, it’s crucial to recognize the challenges that firms encounter in this dynamic landscape.

 

Data Security and Privacy Concerns

While leveraging analytics, fintechs navigate the intricate landscape of data security and privacy, ensuring stringent compliance and customer trust.

 

Dynamic Regulatory Environment

Adapting to the ever-changing regulatory landscape, fintechs tackle challenges in compliance efforts, operational adjustments, and maintaining a resilient business model.

 

High Dependency on Data Quality

In the quest for accuracy, fintechs grapple with the critical need for high-quality data, steering clear of inaccuracies that could compromise decision-making and risk management.

 

Scalability and Integration Challenges

As fintech entities scale, the challenge lies in seamlessly scaling their analytics infrastructure and integrating new technologies to sustain growth.

How Insight Consultants Can Assist

 

As we navigate these challenges, Insight Consultants emerges as a strategic ally, providing tailored solutions to empower organizations for sustained success. Our Data Intelligence Center of Excellence (DICE) features a skilled team comprising data engineers, scientists, and business analysts specializing in tailored data management and analytics solutions for small and medium enterprises. A versatile toolkit, including Microsoft Azure, Power BI, and Google Data Studio, drives our adept approach to addressing unique analytics challenges. This comprehensive toolkit empowers us to optimize business processes, deliver impactful business intelligence analytics, and foster strategic operational innovation. Under the guidance of our focused and skilled Data Intelligence team, organizations navigate complex analytics challenges with precision and innovation.

 

Contact Us to learn more about how our data and analytics services can contribute to the growth of your fintech business.

Key Takeaways

 
  • Strategic Advantage: Analytics provides a competitive edge by informing strategic decisions and market positioning.

  • Operational Efficiency: Implementation of analytics identifies inefficiencies, leading to cost-saving opportunities across various processes.

  • Enhanced Customer Engagement: Leveraging analytics allows precise targeting of potential customers, improving customer acquisition strategies.

 

 

The fintech industry has experienced an unprecedented boom in recent years, with over 1,000 unicorn companies globally valued at $3.3 trillion (source: CBI Insights). This surge in growth intensifies competition, prompting 77% of financial institutions to focus more on innovation for consumer retention (source: PWC). In this rapidly evolving landscape, the role of data analytics transcends utility, becoming a strategic imperative for fintech.

Analytics Advantage

 

  1. Competitive Advantage: Analytics provides a distinct competitive advantage by offering insights that drive strategic decisions and market positioning.
  2. Cost Savings: Implementing analytics helps in identifying operational inefficiencies, leading to cost-saving opportunities across various processes.
  3. Customer Acquisition: Leveraging analytics aids in precisely targeting potential customers, enhancing customer acquisition strategies.
  4. Enhanced Customer Experience: Understanding customer behavior and preferences enables FinTech companies to craft personalized offerings, ensuring an enriched customer experience.
  5. Additional Revenue Margins: Through data analytics, identifying new revenue streams and cross-selling opportunities becomes more streamlined, contributing to additional revenue margins.

Analytics in Fintech Operations

 

Risk Analysis

  • Analytics facilitates deep risk analysis, aiding in managing risks by implementing advanced risk detection systems.
  • Organizations can simulate potential problems in a virtual environment, preparing for risks and enhancing risk management.
  • Creation of risk models based on transaction history improves audit management and allows for tailored services based on user reliability.

Customer Experience

  • Analytics delves into intricate details of customer behavior, preferences, and usage patterns, allowing FinTech businesses to craft personalized offerings and targeted marketing strategies.
  • Personalized interactions based on individual preferences foster customer loyalty, positioning the business for success in a competitive FinTech ecosystem.

Underwriting

  • Data analytics revolutionizes underwriting by leveraging diverse datasets for precise risk assessment, enhancing credit scoring accuracy, automating routine tasks, and contributing to fraud detection.
  • Continuous monitoring post-loan approval ensures adaptability to evolving risk profiles, introducing agility and precision to lending processes.
 

Proactive Analytics is Key for Fintech Players

The symbiotic relationship between fintech and analytics is indispensable, shaping the industry’s trajectory and driving innovations that redefine the financial landscape. As financial institutions seek to navigate the challenges brought about by the digital landscape, analytics solutions emerge as one of the most important tools in their arsenal. The transformative impact of data analytics continues to unfold, unlocking new potentials and propelling the fintech industry toward unprecedented heights.

Contact Us to learn more about how our data and analytics services can contribute to the growth of your fintech business.

 

Read our next post can how you can craft an effective analytics strategy

Monthly Newsletter | Nov 2021 | Issue 115

Featuring 

  •  Reengineer the power of data and analytics to make strategic decisions
  • Make retention a top priority: Tips to control customer churn
  • In the News
  • Major Events
  • Key Stats

 

Focus On

 

From Data to Insights: Reengineer the power of data and analytics to make strategic decisions

The lending industry is data-intensive with massive graveyards of unused and unappreciated credit processing data. As lending firms and credit bureaus face increasing pressure to stay profitable, understanding customer needs and preferences becomes a critical success factor.

But businesses still struggle to make data-driven business decisions, relying instead on all classic strategies — experience, status quo, and “gut feeling” about the right way to do things. So how can lenders effectively gain insights from data and analytics to make better, data-driven decisions?

 

The solution is Data and Analytics. 

 

Data and analytics help firms maximize performance, reduce cost, and improve performance & overall profitability. Using analytics, you can reach out to the right customers and improve customer acquisition. It also assists in efficient delinquency management and comprehensive loan servicing. By increasing the loan life-cycle value, lenders can retain their most profitable customers.

Being the best in an industry is no longer enough; companies must aspire to be at least at par across industries to compete effectively. So, firms should take the right tactic.

The approach to implementing data and analytics

1. Align business goals with analytical outcomes

2. Identify the right analytical partner/tool

3. Identify the best data visualization tools

How can data and analytics help Lenders? 

The consumer lending business is based on the notion of managing the risk of borrower default. Credit scoring systems and predictive models identify the chances of uncertainty and guide in detecting risk. It gives the lenders a clear picture of defaulters. It can help lenders to make faster and more accurate credit decisions. 

Key benefits:

1. Reach the right customers with the right products

2. Deliver a superior customer experience through faster on-boarding

3. Identify, target, and retain the most profitable customers

4. Drive-up recovery rates while driving down collection costs

Insight Consultants offer

1. Customized credit models to reduce lending risk

2. Delinquency prediction models to lower loan delinquency rates

3. Workflow automation via ML models which can substantially reduce costs and time associated with internal loan processing and turnaround.

4. Data-driven Customer Segmentation to maximize the value of each customer 

5. Improved collection models which segregate risky customers 

With several years of experience in the lending domain, Insight Consultants offers a powerful and user-friendly solution that enables informed decision-making through accurate predictions and easy-to-build decision models. If you are looking for ways to harness the power of data analytics, Contact Us

 

Keep Reading 

 

Make retention a top priority : Tips to reduce customer churn

Customer churn has a devastating effect on businesses. On the flip side, it is estimated that a 5% increase in customer retention can lead to a 25-95% increase in profits.

When a customer churns, it not only means a lost deal in the short term—it also means another competitor gains a long-term asset and can expend that asset improving their products. Every business loses customers. But it’s the quality and rate of your attrition that can kill your business growth. The higher the churn rate, the more money you lose every month.

The consumer lending business has one of the worst customer retention rates of any business. Borrowers are more likely to consider refinancing options whenever existing mortgage deals revert to a standard rate. So, lenders must be vigilant at the threat of losing their current borrowers.

 

Why is customer retention crucial to business? 

Customer retention means that a single customer will continue to buy from you over several years – which is described as the Lifetime Value (LTV) of your customerCustomer retention measures not only how successful a company is at acquiring new customers, but also how successful they are at satisfying existing customers. 

Customer churn is a crucial matrix for businesses that want to survive.

There are a few reasons why customer churn is crucial to business:

1. Affordability: It’s 5-25X more expensive to acquire a new customer than to retain an existing customer.

2. ROI: A 5% increase in customer retention can increase company revenue by 25-95%.

3. Loyalty: Retained customers buy more often than newer customers.

Customer retention will not improve overnight. To increase retention, understand why you are losing the existing customer, and what stops them from returning. However, if you have a few solid strategies up your sleeve, you can coax repeated customers more. 

Customer retention strategies 

1. Get feedback from customers

2. Create personalized customer loyalty schemes

3. Predict customer churn rate from historical data

4. Improve customer experiences across channels

 

How Insight Consultants can help

The good news is that by leveraging the power of AI and Automation, we can help your businesses to retain a customer for life.

1.Create customer loyalty schemes through AI-powered segmentation

2.Add Intelligent automation to existing IT systems for a personalized customer journey

3.Identify and score churn indicators through Predictive Modelling 

4.Share customer performance through reports and dashboards

We believe that with us, you can make great and useful changes to your customer retention. Take a small step and Talk to us  and begin your retention journey now!

Get insights to stay ahead in lending industry

 

Insights delivered monthly !

Subscribe

In the News

 

Banks ease credit rules and demand grows as US economy motors ahead

Banks largely eased credit standards for businesses, commercial real estate investors and households in the third quarter of the year, as the US. economy weathered the latest wave of the coronavirus pandemic, a Federal Reserve survey reported.

The Fed’s Senior Loan Officer Survey, offering evidence of continued momentum for the economy, said banks “generally reported having eased standards” for business loans by lowering rates, expanding credit lines or imposing less restrictive terms.

The banks “cited a more favorable or less uncertain economic outlook” as well as more competition among lenders and “an increased tolerance for risk” amid general improvement in markets and the economic outlook, the Fed reported. Demand for loans was also up, particularly among middle-sized and larger firms.

Looser standards and higher demand also were reported for commercial real estate lending.

Banks in general also eased standards for consumer credit card and auto loans, by lowering credit score requirements or increasing credit limits.

But while demand for credit cards increased, demand for auto loans declined, the Fed reported, a possible sign that price increases had begun to hit demand for autos, or that the surge of buying over the last year had peaked.

In special survey questions related to the pandemic, banks said demand for business and credit card loans remained below pre-pandemic levels, with stronger demand expected over the next six months.

Banks “cited customers facing more favorable income prospects, and higher expected consumer spending needs given prevailing interest rates and terms, as reasons for stronger expected demand,” the Fed reported.

 

Amazon announces partnership with Lendistry for SMB Lending

A longtime SMB lender toward its own seller network, Amazon will begin offering official short-term loans up to $100,000. Lendistry is a minority-led SMB and commercial lending fintech and an established Community Development Financial Institution (CDFI) and is part of the SBA Community Advantage lending program. Like many SMB Lenders, the firm helped give out PPP loans, and most of its business comes from providing SBA loans.

According to the Amazon press release, the majority of Lendistry’s funding efforts have gone to “low-to-moderate income and other historically disadvantaged business owners and the communities they serve, including African American and Hispanic-Latino populations, and individuals from CDFI-designated investment areas.” “Amazon came to us with this incredible idea,” CEO and Founder Everett K. Sands said.

Amazon’s massive seller marketplace is an excellent fit for Lendistry. The firm was founded in 2015, and according to deBanked, as late as 2018 had a staff that numbered in twenties. 

Justin Leto, Co-Founder, and CEO of Idea financial SMB financing said this is just another sign of the progress of the SMB lending industry and the roaring US market this past year.

According to market pulse, there were 461,000 U.S.-based sellers on the Amazon platform in 2020. In 2019, Amazon reported funding over $1 billion to sellers on the platform, becoming one of the largest SMB financiers in the world.

According to Amazon, the firm began offering loans to sellers in 2011, based “on the knowledge that an infusion of capital at the right moment could put small business sellers on the path to success.

“With Amazon Lending, it’s an invitation-only program: Amazon selects the sellers (based on online sales history) that it thinks are going to be the best fit for an Amazon Lending loan. That means that even if you really want a loan and have good sales history, you can’t just go out and apply for Amazon Lending unless Amazon has invited you.”

 

Fireblocks riding major fundraise to boost digital banking support effort 

Powered by their $300-million fundraise over the summer, Fireblocks, a secure digital asset infrastructure company,  is looking to drive infrastructure efforts of digital banking and crypto companies as the industry is poised for explosive growth.

With two decades of experience with telcos and cybersecurity, company co-founder and CEO Michael Shaulov had the perfect resume to serve as a springboard to this effort

Fireblocks provides 600 cryptocurrency and digital asset businesses with software and APIs to custody, manage treasury operations, access decentralized finance, mint and burn tokens and run digital asset operations.

The company raised more than $300 million at a $2.2 billion valuation back in July.

Fireblocks serves as the backstop, and their infrastructure allows them to deploy some of the most sophisticated governance and policy engines that exist in the industry.

 

Starling Bank matures from digital upstart to mainstream lender

Two years ago, Starling was best known as digital banking upstart, targeting dissatisfied retail customers of the UK’s big bank with easy-to-use current accounts, overdrafts and money transfers. Yet in the UK’s huge business lending market it barely registered, with a paltry £115,000 of loans on its books. Then the Covid-19 pandemic hit and, amid the chaos of the sudden shift to remote working and fears of a deep recession, Starling, threw open its doors to small and medium-sized enterprises (SMEs). By March this year, Starling had facilitated £2.2bn of business loans to more than 40,000 customers.

The technological groundwork had been laid before Covid-19. In 2019, Starling was awarded a £100m grant by the UK’s Capability and Innovation Fund to build a new system that would allow it to lend to businesses. The money was part of a scheme to improve competition in the UK’s business banking market, which is dominated by incumbents such as NatWest, Barclays and Lloyds. Starling put another £100m into developing the new technology, and its system was almost ready in early 2020 as the pandemic took hold. “We had the fundamental building blocks in place, but we didn’t have the product,” says Anne Boden, Starling chief executive.

The big opportunity for Starling came when the UK government launched its coronavirus business support schemes, such as Bounce Back loans, and looked for banks to help distribute them. Starling had some quick thinking to do. “We had three or four days’ notice to get to know the scheme rules and launch the product,” says Boden. “It was a very difficult decision for us whether to do this or not. We would have to process an incredible amount of volume, we’d have to get our systems ready in time and be ready to face the press, because there was a lot of visibility out there about these loans. But if we didn’t do these loans, people would always say that Starling wasn’t there for me when I needed you.” Although this was not the cautious, step-by-step entry into business lending that Boden and her team had envisaged, they took the plunge. “I remember being there the day we pressed the button to open the website to allow people to apply. We didn’t know whether it would be a trickle or whether people were desperately wanting those loans,” she says.

However, Starling’s plans stretch beyond lending to SMEs based in the UK. Earlier this year, it made its first acquisition, buying specialist buy-to-let lender Fleet Mortgages for £50m, in a deal that brought with it £1.75bn of mortgages under management. It has also outlined plans to expand into Europe with what it calls banking as a service — allowing companies to use Starling’s technology to create their own savings accounts, current accounts and debit cards.

Events

Fintech Forum 2021

18 Nov 2021, Airport Club, Frankfurt, Digital

Key Stats

Central Bank Interest Rates and Current Libor Rates

GBP Libor (overnight)

Interest

(11-09-2021)

Central BanksInterest Rates
Euro Libor-0.58271%American Interest rate (FED)0.25%
USD Libor0.07088%Australian Interest rate (RBA)0.10%
CHF Libor-0.79200%British Interest Rate (BoE)0.10%
JPY Libor-0.07367%Canadian Interest Rate (BOC)0.25%
GBP Libor 0.04025 %Japanese Interest Rate (BoJ)-0.10%

Contact Us

Call Now Button