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Implementing AI in Your Organization: Three Key Steps in Your Journey

Implementing AI in Your Organization: Three Key Steps in Your Journey
By Lili Nguyen Posted on
Categories: Sponsored

This article is sponsored by VASS Intelygenz.

Successfully integrating AI into core business services isn’t a straightforward approach—this requires strategic foresight into AI and how it best aligns with business, regulatory compliance, and operational efficiency.

Putting this into action and delivering AI solutions can drive real impact, especially for those in the financial industry. At VASS Intelygenz, we personalize services for our customers, automate their manual operations, and improve efficiencies. We work through the whole AI project lifecycle, conceptualizing, developing, deploying, and maintaining custom AI solutions that solve real business problems. All of which are reshaping how financial institutions operate by enhancing their client interactions and uncovering new market opportunities.

However, AI is not as simple as flipping a switch. According to a Gartner research, only 15% of AI solutions deployed by 2022 will be successful, let alone create ROI positive value. The path from implementation to achieving measurable ROI can feel complex and daunting. Identifying the right solutions, navigating the complexities of AI, and ensuring AI initiatives deliver measurable ROI have often led financial institutions to a standstill when it comes to their AI implementation.

With over two decades of expertise in machine learning and AI, we’ve helped financial institutions unlock the potential of AI to deliver real business value. Here, we outline three key lessons to keep in mind as you start your AI implementation process.

1. Align AI With Your Business and Change Management Strategy

The most successful AI initiatives start with a clear alignment to your business goals. Instead of jumping into technology innovations, identify the core challenges your organization is facing and determine how AI can address them. Are you looking to reduce operational costs? Improve customer retention? Prevent fraud? Only then should you consider which AI solutions will address these challenges.

Actively involve key stakeholders, including leadership and operational teams, during the implementation phase. This collaborative approach ensures that everyone understands the strategy, leading to smoother implementation and better ROI.

It’s integral that you invest in training and communication to help employees adopt AI tools with confidence, so they become champions of the technology rather than resistors.

2. Make Sure to Implement AI Safely

While the potential of AI-powered solutions in finance are vast, the risks are equally significant. Financial organizations deal with highly sensitive information and operate in tightly regulated environments. Implementing AI safely is non-negotiable.

The finance industry is a signifier of importance when it comes to balancing innovation and compliance. AI systems within finance that automate credit scoring or detect fraudulent activities must adhere to strict regulations and industry-specific requirements. Before adoption, ensure that your AI solutions meet ethical guidelines, operational standards, and legal compliance.

Another critical consideration is explainability. Stakeholders, from board members to customers, need clarity on how AI systems get to their conclusions. Choose solutions that incorporate transparency tools, such as explainable AI models, so you can maintain trust while also fulfilling regulatory requirements.

3. Have Confidence in Proof of Concepts (PoCs)

AI is advancing rapidly, and businesses that hesitate to move beyond pilot projects risk missing out on its full potential. To maximize ROI, you must scale your first steps into AI with a fully integrated, organization-wide solution.

While pilot projects allow you to test AI solutions on a small scale, their impact remains limited without transitioning to full-scale deployment. Leading organizations are fast-tracking this process, transforming successful PoCs into actionable, large-scale AI systems. This shift enables businesses to get ahead of their competition, enhance profitability, and reduce costs.

Implementing AI successfully into your financial organization involves more than just an interest in emerging technologies. It requires alignment with your unique business strategy, identifying your challenges as well as having ROI in the forefront of your mind.

At VASS Intelygenz, we bring over 20 years of experience to the table, with a proven process that streamlines AI adoption, from scoping opportunities to rapid experimentation, so you can unlock value quickly and deliver ROI faster. We’re committed to helping financial institutions unlock the true potential of AI.

Want to learn more about this topic? Join us at our presentation at FinovateSpring on May 7th at 2:45pm to explore real-life examples and strategies for implementing transformative AI. Find out more here.

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Transforming Emerging Identities Into New Customers

Transforming Emerging Identities Into New Customers
By Lili Nguyen Posted on
Categories: Sponsored

This article is sponsored by Lexis Nexis.

Across the world, growing numbers of young people, new-to-country immigrants, and other groups are poised to enter the financial system as customers of credit, loans, remittances, and more. By 2030, 75% of consumers in emerging markets will be between the ages of 15 and 34.

Companies that can safely onboard and serve this population of emerging identities can unlock significant growth potential and improve financial inclusion. But for the banking and payments systems of the world, emerging identities often complicate traditional approaches to recognizing trusted customers.

  • Younger demographics haven’t had as much time to build up a record of working, borrowing and purchasing.
  • New-to-country immigrants might not have acquired financial products or proof of residence outside of their birth countries.
  • Older consumers that live communally and don’t have a driver’s license may seem risky.

Identity verification needs to keep pace with all of these changes, and more.

Emerging Identities Provide Superb Camouflage For Synthetic IDs

From the business world’s perspective, emerging identities can seem to appear out of nowhere, often with robust digital profiles but fewer physical identifiers. Unfortunately, these profiles also strongly resemble third-party synthetic identities, cobbled together by fraudsters from real, modified, and fake bits of identity information.

Since first materializing in the US more than 10 years ago, synthetic identities have spread to other major financial economies. Recent analysis found three million high-risk synthetic identities in circulation in the UK alone, with the volume increasing at a rate of over 500% between 2020 and 2023.

With global losses from synthetic identities estimated at up to $40 billion, businesses must be cautious of this rising threat as they attempt to find ways to onboard emerging identities.

It’s bad business to reject low-risk emerging identities. Even flagging them for manual review increases operational costs and degrades the applicant’s onboarding experience, starting the new relationship with an unproductive atmosphere of mistrust.

How Synthetic Identities Cloud The Search For Emerging Identities

There are two types of synthetic identities, broadly speaking. First-party synthetics are alternate identities that consumers create for themselves, for a specific purpose—and not always with malicious intent. However, these identities often collide with the real identity they are augmenting, and do not pass validity checks.

Third-party synthetics are more malicious in nature. These are sometimes referred to as “Frankenstein” identities because a third party cobbles together pieces of identities from legitimate and fictitious sources into one imaginary digital identity they can leverage for cybercrime. These are managed via disposable email addresses and phone numbers, to help maintain anonymity.

Credit bureaus have become an unexpected, but reliable ‘source’ of synthetic identities. It’s hard for criminals to fabricate an identity through credentialed sources like voter registration, a property deed, or a professional certification. On the other hand, it’s relatively easy to submit multiple credit applications to stimulate the creation of a credit profile.

How To Tell Synthetic Identities From Emerging Identities

Though synthetic identities can appear very similar to emerging identities, smart analysis backed by robust intelligence can reveal telltale patterns of synthetic fraud. For example, synthetic identities are 7x more likely than emerging identities to have no first-degree relatives, 20x more likely to appear in multiple credit applications in a short time period and 7x more likely to first show up at a credit bureau at an unusually late age.

Businesses Are Finding New Ways To Safely Onboard Emerging Identities

Competing more effectively in the emerging consumer market starts with an accelerated customer acquisition process that speeds approvals for legitimate customers while mitigating fraud threats. Balancing faster approvals with increased confidence demands identity verification that accurately assesses applicant identity and behavior patterns in real time.

Because emerging identities appear without historic data, businesses need more diverse sources of context around risk.

  • Seek out alternative data sources. For example, education sources can help to verify younger demographics.
  • Clarify a bigger picture. Robust collaborative intelligence networks help to set an identity’s desired action in the broader context of their past and real-time interactions with other organizations, in different industries and even across borders.
  • Authenticate documents with liveness checks. More advanced solutions can verify and authenticate valid documentation without much disruption to the user experience.
  • Layer insights for a more comprehensive view of identity. How is the user behaving? Are they mobile? Are they submitting many applications in a short period of time? Does the email, device or location carry risk signals? The sum of these insights clarifies risk more than any one contributing factor.

Both customers and businesses win when emerging identities can be verified reliably and distinguished from synthetic identities. More legitimate consumers access the financial services they want. Businesses acquire more customers safely while reducing costs and better focusing manual fraud risk assessments.

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Streamly Snapshot: Unpacking the Impact of Automation in Finance

Streamly Snapshot: Unpacking the Impact of Automation in Finance
By Julie Muhn (@julieschicktanz) Posted on
Categories: Sponsored, Streamly

Automation has helped the financial services industry advance rapidly. It not only helps firms save costs and better serve users, but it has also influenced everything from customer service to regulatory compliance. However, as the industry continues to embrace automation, what should financial institutions consider to ensure innovation doesn’t overshadow empathy and trust?

In this Streamly video, Finovate Research Analyst David Penn and ShareFile Director of Sales for Financial Services Matt Geiger speak about the transformative effects of automation on the finance sector. They explore the opportunities, challenges, and the balance required to implement automation effectively while maintaining a human touch.

“In some ways, automation is awesome because we can take these workflows and have our people focus on more specialized activity… The place that we need to find when we’re talking about automation is to find the balance between [automation and manual activity]. What should I automate and what should I have as a personalized customer experience that’s not automated where humans can interact with each other? And we need to have a balance of both of those things.”

ShareFile provides secure document sharing and workflow automation solutions for companies in a range of industries. Founded in 2005, the North Carolina-based company helps its financial services clients document workflow automation, enhance and simplify their client collaboration, and it also aids them in regulatory compliance.

Matt Geiger has been with ShareFile for three years and currently serves as the company’s Director of North American Sales. With over 20 years in tech sales, Matt develops go-to-market strategies that deliver exceptional value. Before ShareFile, he spent 13 years in the partner community, building strategic alliances and driving success. Matt began his career as a teacher and coach, shaping his leadership style and commitment to team development.

Photo by Pavel Danilyuk

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Streamly Snapshot: Disrupting the Market with Refunds-as-a-Service

Streamly Snapshot: Disrupting the Market with Refunds-as-a-Service
By David Penn Posted on
Categories: Interview, Sponsored, Streamly

One of the latest developments in the payments space, Refunds-as-a-Service, promises to bring innovation to an area of customer experience – refunds – in which more than a trillion dollars of value are exchanged every year.

In today’s Streamly interview, Jeremy Balkin, Founder and CEO of TodayPay, talks with me about his path from a Managing Director at J.P. Morgan to the launch of his refunds-as-a-service startup. Balkin explains the inspiration behind the decision, the company’s progress to date, as well as TodayPay’s upcoming direct-to-consumer product launch.

“We’re the world’s first dedicated refund payment network. It’s an alternative payment method for both merchants and consumers to receive refunds. We’re pioneering a category we like to call refunds-as-a-service, serving merchants, marketplaces, insurers, issuers, and consumers to get a better refund experience.”

A finalist in the “Top Emerging Fintech” category of the 2024 Finovate Awards, TodayPay enables merchants to offer their customers instant refunds over a variety of payment choices, including cashback. A pioneer in the field of Refunds-as-a-Service, TodayPay is part of the Visa Fasttrack program.

Before launching TodayPay, Jeremy Balkin was a Managing Director for J.P. Morgan in New York City where he led fintech innovation and corporate development in the payment space.

Photo by Andrea Piacquadio

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Streamly Snapshot: Creating Revenue Streams for Community Banks and Credit Unions

Streamly Snapshot: Creating Revenue Streams for Community Banks and Credit Unions
By Julie Muhn (@julieschicktanz) Posted on
Categories: BankShift, Sponsored, Streamly

Community banks and credit unions have long been the cornerstone of local economies. As technology and consumer preferences evolve, however, so must their revenue strategies.

Today’s Streamly video highlights a conversation I had with Rob Thacher, CEO at BankShift, a banking-as-a-service platform. During our conversation, Thacher and I discussed embedded finance, leveraging data to create personalized products, fintech partnerships, subscription services, and BankShift’s Brand on Banking.

BankShift built a business model all around the credit union space because they give dividends back to their members. And so we built a Brand on Banking ecosystem that enables community banks and credit unions to be different and have a new revenue stream. Financial institutions can embed their own technology inside that brand for revenues, for loyalty, and control.

BankShift creates a digital banking platform that helps community banks and credit unions generate new revenue streams, enforce control, and build loyalty. The company’s SDK provides low-code tools that help financial institutions create a branded, a unified app with a single login and a money transfer tool. The Oregon-based company was founded in 2020.

Photo by Museums Victoria on Unsplash

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Finovate Webinar: Innovations in AI-Powered Observability

Finovate Webinar: Innovations in AI-Powered Observability
By Julie Muhn (@julieschicktanz) Posted on
Categories: Finovate Webinar, Sponsored

The idea of a black box has always been unacceptable in financial services. Financial institutions must be able to explain to clients and regulators how decisions are made – are they fair, justified, and sensible?

This is where observability comes in and it can do much more than setting your moral compass right.

Join Dynatrace, Deloitte, and AWS on October 24 at 2 pm Eastern for a 45-minute live webinar tailored for executives in the financial services industry. This session will feature a panel of experts discussing the latest strategies for modernizing financial services infrastructure and applications through AI-powered observability.

In this in-depth discussion, the panel will explore the integration of AI-powered observability and financial services, focusing on how organizations can enhance their operations, ensure data protection, and comply with regulations. The experts will delve into the transformative potential of AI, including Generative AI, in boosting overall productivity and maintaining regulatory compliance.

Why should you attend?

  • Gain strategic insights: Learn from industry leaders about the latest trends and strategies in AI-powered observability tailored specifically for financial services.
  • Enhance operational efficiency: Discover how to leverage AI and automation to streamline operations, mitigate risks, and ensure compliance.
  • Real-world applications: See live demonstrations and hear real-life use cases from Dynatrace customers, showcasing practical implementations and outcomes.
  • Interactive learning: Participate in a live Q&A session with experts, allowing you to get personalized answers to your specific challenges and questions.

Among the panel of experts is Wayne Segar, Field CTO at Dynatrace; Paul Barnhill, Managing Director at Deloitte; and Eric Baran, Principal Segment Leader- DevOps – Global Financial Services at AWS.

Learn more or register today.

Photo by Ron Lach

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From AI Hype to Reality: Key Strategies for Financial Institutions to Achieve Business Value

From AI Hype to Reality: Key Strategies for Financial Institutions to Achieve Business Value
By Lili Nguyen Posted on
Categories: Sponsored

In the financial services sector, artificial intelligence (AI) is often heralded as a transformative force capable of revolutionizing everything from customer engagement to fraud detection. However, as the excitement around AI continues to grow, so do the challenges associated with its implementation. According to the latest McKinsey Global Survey on AI, AI adoption is accelerating, with 72% of organizations using AI in at least one business function in 2024, up from 50% in previous years. However, the challenges of achieving tangible business value remain substantial. The survey highlights that organizations need to focus on aligning AI projects with strategic business goals to achieve success (McKinsey, “The State of AI in Early 2024”).

The journey to successful AI implementation in financial services is not about jumping on the latest technology bandwagon; it is about identifying core business challenges, choosing the right AI strategy, and following a robust engagement methodology. Here’s how financial institutions can move beyond the AI hype and achieve real, measurable business value.

1. Start with the business challenge, not the technology

The key to successful AI deployment begins with a comprehensive understanding of the specific business problems that need to be addressed. Too often, organizations are drawn to AI’s potential without a clear roadmap for its application, leading to projects that flounder in development or fail to deliver a return on investment (ROI). McKinsey notes that “the business goal must be paramount,” emphasizing the importance of identifying the most promising business opportunities and working backward to potential AI applications rather than pursuing tech for tech’s sake (McKinsey, “The State of AI in Early 2024”).

For financial institutions, this means asking critical questions: What are the pain points that, if resolved, would yield the most significant benefits? Whether it’s enhancing customer engagement, improving fraud detection, or optimizing operational efficiency, defining the challenge upfront ensures that AI initiatives are grounded in strategic business needs rather than technological fascination.

2. Evaluate: build, buy, or partner

Once the business challenge is identified, the next step is to determine the most effective strategy for deploying AI. This involves a critical decision: whether to build a custom solution, buy an existing one, or partner with an AI expert.

  • Build: Custom solutions offer the highest degree of specificity and alignment with unique business processes, but they require significant time, resources, and in-house expertise. For institutions with complex, industry-specific needs, building an AI solution may be the most effective approach, but it also carries the highest risk.
  • Buy: Off-the-shelf solutions provide a faster route to deployment and can be cost-effective for common challenges. However, they may not offer the flexibility needed to adapt to specific business environments. McKinsey’s latest research shows that while 50% of organizations are using off-the-shelf generative AI models, the high performers are increasingly moving toward significant customization or developing proprietary models to meet specific needs (McKinsey, “The State of AI in Early 2024″).
  • Partner: Partnering with a specialized AI consultancy, like Intelygenz, allows organizations to leverage deep technical expertise and experience while focusing on rapid implementation. A trusted partner can guide institutions through the complexities of AI deployment, ensuring that the solution is tailored to deliver the maximum business impact. This approach combines the benefits of both build and buy strategies, mitigating risks and accelerating time to value.

3. Implement with a proven engagement methodology

The pathway from AI concept to value realization is rarely linear. To navigate this complexity, financial institutions need a structured, end-to-end engagement methodology that enables rapid development and deployment while ensuring alignment with strategic objectives. Accenture’s “Tech Vision 2024” report emphasizes that adopting an agile, iterative approach to AI deployment enables organizations to see faster returns on investment and adjust quickly to evolving business needs (Accenture, “Tech Vision 2024″).

Intelygenz’s “Day Zero Promise” embodies this approach. Our methodology begins with a rigorous scoping session to align AI projects with strategic business outcomes from the very beginning. This is followed by:

  • Agile Development: An iterative approach that allows for continuous refinement and adaptation of AI solutions to evolving business needs.
  • Seamless Integration: Close collaboration with internal IT and business teams ensures that AI solutions integrate smoothly with existing systems and workflows.
  • Accelerated Deployment: Fast-tracking the time to value by deploying AI solutions in a matter of weeks, not months or years.

By maintaining a relentless focus on delivering measurable ROI, Intelygenz helps financial institutions avoid the common pitfalls of AI implementation and ensures that AI initiatives contribute directly to business growth.

4. Focus on flexibility and cost-efficiency

For many financial institutions, one of the barriers to AI adoption is the perceived cost and complexity. However, AI does not have to be prohibitively expensive or rigid. Intelygenz positions itself as a more flexible and cost-efficient alternative to top-tier AI companies. We deliver high-quality AI solutions without the overhead and rigidity often associated with larger providers, making us an ideal partner for organizations looking to innovate while managing costs.

5. A collaborative approach to AI success

AI projects are not just technical endeavors; they are fundamentally business transformations. A collaborative approach between the AI partner and the organization is crucial for success. At Intelygenz, we engage closely with our clients throughout the entire process, ensuring that every AI solution is not only technically robust but also aligned with the organization’s strategic goals. This partnership approach has led to real-world success stories where financial institutions have transformed AI from a buzzword into a business-critical capability.

Learn More at FinovateFall

For financial services leaders looking to leverage AI effectively, the path to success involves a thoughtful strategy that prioritizes business value over technology for technology’s sake. At FinovateFall, Chris Brown, President of Intelygenz USA, will delve deeper into these themes during his keynote session, ‘Beyond the Hype: Delivering Real Business Value with AI in Financial Services’. Attendees will learn how to identify the right business challenges, evaluate strategic options for AI deployment, and implement solutions that drive tangible ROI.

Join us on day two of FinovateFall to gain actionable insights and see how Intelygenz’s expert consultancy and implementation services can help your institution harness the true potential of AI.

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Putting the Recipient First: How to Prioritize the Customer Experience in Your Payments Strategy

Putting the Recipient First: How to Prioritize the Customer Experience in Your Payments Strategy
By Lili Nguyen Posted on
Categories: Finovate Webinar, Sponsored

 📅 Wed, August 21, 2024     🕙 10:00 am ET     ⌛ 1 hour

In today’s instant digital economy, providing your customers with a unique experience can translate to a crucial advantage for your firm. Your payments strategy plays a critical role in this.

Join this webinar and discover how to design a customer-centric payments strategy driven by choice, convenience, and speed.

Key takeaways:

  • Understanding Customer Needs: Learn how to identify and analyze the specific needs and preferences of your customers when it comes to payment options.
  • Seamless Payment Processes: Explore strategies for creating smooth and frictionless payment experiences that enhance customer satisfaction.
  • Discover: Find out how to personalize payment experiences to build stronger customer relationships and loyalty.

Hear from:

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10 Strategies Fintechs Can Use to Acquire More Customers Right Now

10 Strategies Fintechs Can Use to Acquire More Customers Right Now
By Lili Nguyen Posted on
Categories: Sponsored

This is a sponsored article by Glassbox.

Fintech leaders, C-suite executives, and investors are facing an epic challenge: How do we adapt our customer acquisition strategies as the landscape becomes more competitive? In this article, we’ll highlight the challenges fintech companies face in customer acquisitions and the benefits of digital experience intelligence (DXI) in understanding your customer behaviors and challenges. Armed with those insights, you’ll be better able to navigate the ever-evolving fintech environment to grow your customer base and nurture your existing customers.

Want to know which of your marketing assets was most viewed by new conversions? Done!

Wondering where the common dropoff points are in your mobile app? No sweat.

Here are ten ways DXI can inform and refine customer acquisition strategies for fintech companies to acquire more of their ideal customers.

1. Identifying Acquisition Opportunities

Digital experience intelligence enables your organization to measure and analyze how users interact with your website or mobile app. Analyzing these journeys provides insight into pain points and areas of high engagement for potential customers. This initial informational process can help you tailor your product offerings and marketing outreach to engage your ideal customers.

Note: Be sure you’re targeting your ideal customers – the ones who truly need and will benefit from your products or services. Understanding who they are, and making that extra effort, will pay off with a client base that is bought in and wants your solutions to work for them.

2. Data-Driven Optimization

Leveraging insights from digital experience intelligence can help identify which marketing channels attract your target audience. In addition, user behavior analysis can measure the effectiveness of ad campaigns to optimize them across different channels.

👉🏻 For tips on gaining and retaining digital banking customers, check out this guide: 5 Mobile App Optimization Best Practices for Banks.

3. Personalization at Scale

Personalizing customer experiences is one of the most effective ways to increase engagement and conversion rates, especially during the consideration and decision-making stages. A digital experience intelligence platform like Glassbox is the easiest and most effective way to gain critical insights into how users interact with your platform.

You can then use that data to segment customers by a variety of metrics to provide more relevant, personalized digital experiences. The data gained can also be used to inform product recommendations, web content, and marketing messages, as well as cater to specific preferences, all of which can boost engagement and conversions.

4. Mobile Optimization

Nearly 40% of app uninstallations occur because people are simply not using the app. The best way to understand why customers are abandoning your app is by measuring and monitoring your customer journeys. Armed with that information, you can refine your app to ensure it’s relevant, intuitive, and user-friendly so your users are never tempted to select “Remove app.”

5. A/B Testing for Optimization

Data-driven insights are the holy grail of refining customer acquisition strategies. A/B testing enables companies to understand which versions of websites, apps, and offers perform best in attracting and converting potential customers. The insights you gain can inform continuous improvement of user experience and refine your customer acquisition strategies.

6. Proactively Addressing Customer Pain Points

Technology like Real User Monitoring (RUM) and newer iterations like Real User Experience (RUX) enable fintech companies to quickly detect and resolve technical issues.

The ability to swiftly address user experience pain points and intercept technical snags before they escalate can transform your customer’s journey from one of frustration into a smooth and responsive experience that makes them feel valued. With 80% of consumers reporting that customer experiences need to be improved, proactive engagement is your golden ticket to differentiation.

7. Unlocking More Substantial Customer Feedback with AI

Voice of the Customer (VoC) data captures customer feedback so you can gain a deeper understanding of their digital experiences. However, VoC data only represents the vocal minority—our internal analysis found that only about 4% of users provide feedback.

Fintech companies can now leverage AI to automatically compare these rated interactions to similar interactions across the entire user base. We do this at Glassbox with our Voice of the Silent (VoS) tool, which makes it easier to understand what the majority is experiencing, even when they blow off satisfaction surveys.

8. Building Customer Trust Through Transparency

Building customer trust is the most direct path to loyalty. Digital experience intelligence reveals where users hesitate to provide information or engage, which can reveal areas for improving transparency about data privacy and security measures. Addressing those concerns demonstrates your commitment to user safety, which puts you further along the path to customer trust and loyalty.

9. Clear The Biggest Hurdle: Knowing What Your Customers Want

With fintech products and services flooding the market, customers have an exhausting supply of options if you fall short of their expectations for seamless digital experiences. Understanding how they experience interactions with your website or mobile app is critical to effectively measuring, analyzing, improving, and ultimately ensuring customers feel understood and appreciated.

10. Make Customer Acquisition Everyone’s Business

Customer acquisition should be an all-encompassing, organization-wide effort – not just the job of marketing or product development. Lasting relationships are supported at multiple levels and in diverse ways, and playing that message on repeat is essential to making it stick.

Want to see what DXI actually looks like in action? Click around in Glassbox’s self-guided platform tour.

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How Will You Create the Next Generation Customer Experience?

How Will You Create the Next Generation Customer Experience?
By Lili Nguyen Posted on
Categories: Sponsored

Today’s customers want personalized experiences, but how can companies drive meaningful one-on-one connections at scale?

Data wins!

Handled correctly, well-orchestrated data reaches customers the way they want to be reached: fast and seamless while facilitating loyalty and trust.

The next generation customer experience is made easier with LeanData, the leading Revenue Orchestration platform. LeanData connects the dots for over 1,000 companies, increasing speed-to-response and aligning go-to-market motions with efficiency.

  • 90% reduction in data duplication
  • 78% decrease in time needed to research records
  • 5 hours per week saved by eliminating manual processes
  • Time-to-response decreased from 1 to 2 days to less than 1 hour
  • 35% increase in customer retention rates

Join LeanData at FinovateSpring next week and see it in action.

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“Digitize or Die”: A Call to Arms for Building Societies

“Digitize or Die”: A Call to Arms for Building Societies
By Lili Nguyen Posted on
Categories: Moneyhub, Report series, Sponsored

Moneyhub recently commissioned research into building societies and consumers, which involved interviews with building society leaders from the likes of Nationwide, Skipton, Yorkshire, Coventry, and The Building Societies Association. Additionally, 2,000 British adults were surveyed to find out about the sector’s digital readiness and the opportunities a more data-led proposition might offer.

Here’s what Moneyhub found:

  • Nearly 1 in 2 building society members report difficulties in engaging with their services.
  • 80% of consumers believe that a good online platform is important when choosing a new financial provider.
  • 66% of 18-34 year olds would like more convenient access to products and services without the need to visit physical bank branches.

Building societies are at a pivotal juncture. Traditionally known for their community focus and customer-centricity, they now face the urgent need to digitize to meet evolving consumer demands.

“Digitize or die”, a senior sector stakeholder said.

Moneyhub’s research highlights a stark reality: there is a gap between consumer expectations and the digital offerings of building societies. The company’s report – Digitize or Die: A Call to Arms for Building Societies – serves as a roadmap for building societies ready to embrace this essential transformation, ensuring they meet the needs of today’s and tomorrow’s consumers.

Download the report now

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Data Modernization in Banking, Financial Services, and Insurance

Data Modernization in Banking, Financial Services, and Insurance
By Lili Nguyen Posted on
Categories: Sponsored

This is a sponsored post by Indium Software

2023 is bringing new regulations and transparency requirements to shape the Banking, Financial Services, and Insurance (BFSI) marketplace. This guide, Navigating the Path to Data Modernization in the BFSI Industry, explores the practical steps business leaders can take to accomplish their objectives — from identifying suitable technological solutions to effectively implementing them to maximize their influence.

By following these recommendations, you as a business leader can embark on a successful journey of modernization that not only fosters growth, but also enhances the profitability of your business.

Key Highlights

  • Banking Data Modernization Challenges
  • Numbers Don’t Lie!
  • Data Modernization Isn’t a Brand-New Concept
  • Data Modernization – The Need of the Hour
  • The Journey of Data Modernization
  • First Step to Data Modernization
  • Data Modernization Roadmap: The 8 Pillars of a Winning Strategy
  • The End Objectives of Data Modernization
  • No Disruption on the Road to Digitization – Cheat Sheet: Key Tips for Next-Gen BFSI Orgs & How Can Indium Help

Read the e-book>>

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