Neo4J & Google Cloud: Graph Data in Cloud to Address Challenges in FinServ Industry

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Over the last decade, financial service organizations have been adopting a cloud-first mindset. According to InformationWeek, lower costs and enhanced scalability were the biggest drivers for cloud adoption in financial services, and cloud-native applications allow access to the latest technology and talent, enabling adopters to rebuild transaction processing systems capable of supporting very high volumes and low latency.
Both Neo4j and Google Cloud have been using relationship-based data representations since the beginning, and we’re dedicated to using this technology to help financial services customers drive business transformation. We are excited about the prospects of financial services (FinServ) cloud systems and believe that graph data in the cloud can help solve significant challenges in the industry.
Data Challenge #1: Risk Management and Compliance
First among the top concerns for any CIO moving to the cloud is risk management and compliance. Disconnected, uncontextualized, or stale data create opportunities for fraud and financial crimes to occur. The fact is when it comes to FinServ, the question is not “if” but rather how often an attack will occur. Unfortunately, incidents have been trending upward over the last decade, and COVID has only exacerbated this reality. Financial crimes affect the bottom line both in the remediation of these crimes and in intangibles like brand value.
Add to this the complexity of international banking, which makes “compliance” a moving target. Penalties due to noncompliance are a constant concern to any FinServ organization.
The tabular representation of information with a fixed number of columns that never change prevents a description of an ever changing world with changing characteristics. Relational databases are great if the world you describe does not move fast but have limitations when data structures are highly interlinked and not homogeneous.
Neo4j Aura on Google Cloud provides a foundation for creating dynamic, futureproof, scalable applications that adhere to the security standards and protocols today’s financial services organizations require to meet the challenges of finding and preventing bad actors. This also includes enterprise scalability; reaching over 1 Billion nodes and relationships to streamline queries and provide solutions that meet regulatory and privacy compliance across geographies. Neo4j has helped some organizations save billions of USD in fraud in the first year of deployment alone.
What makes graph technology the best choice for fraud detection use cases is that the relationships between the data-points are as important as the data-points themselves. Let’s take as an example, one John Smith approaches a multi-national banking institution to manage the primary account for his new holding corporation.
While no one has any record of John R Smith Holdings LLC, the bank’s application built on graph technology understands that there are several well-known entities owned by John Smith Holdings. The application also identifies several well-known board members who bank with this institution. Due to this relationship-driven approach, the bank now understands John R Smith is not “John Smith,” who previously attempted to open an account for his holding corporation, which had no information associated with it prior to two months ago.
Data Challenge #2 Manual Processes and Inefficiencies
The ubiquity of the cloud offers an opportunity to deploy automation at unprecedented levels to tackle the errors and inefficiencies that manual processing allows to creep into processes. When data comes from disparate, perhaps legacy systems – which may have become siloed and “untouchable” over the years – further complexity arises. As an example, if someone in sales types “John Smith” into a CRM system not knowing that John R Smith is the spelling in the customer data master, it may result in two separate and potentially conflicting records. Being able to join those records together in a mastered view helps to solve this problem. In addition, low data quality equates to an increase in risk, costs, and implementation times for new systems.
Neo4j Aura on Google Cloud provides automation and artificial intelligence (AI) that reduces manual processes and the errors that accompany them. In this graph architecture each node, which can represent a person, will have labels, relationships, and properties associated with it. This allows for the use of AI which can easily understand that John Smith in the CRM is the same John R Smith in the customer master. The information contained in Neo4j can be connected bi-directionally to ensure consistency across applications and data sources.
One of the benefits of this approach is that linking information allows organizations to keep the full value of the data, rather than forcing the data into predetermined tabular representations, with the risk of losing valuable information and insights.
Data Challenge #3: Customer Engagement and Insight
Another significant concern is the high expectations today’s customers have for every interaction. End users are accustomed to predictable experiences on their digital devices, and FinServ apps are no exception. Added to this, the “Covid economy” has driven digital adoption significantly across demographics; even among customers who might traditionally have used in-person services. This also equates to increased expectations for personalized, predictable experiences with every digital interaction. We know that latency has always been a key consideration for financial trading, but a recent ComputerWeekly study showed that every financial organization should ensure their visible latency is at 10 milliseconds or less. Customers no longer accept their broadband is at fault.
Finally, blind spots in the customer journey often result in dissatisfaction, which ultimately leads to increased churn. Without gaining actionable insights from your customers, there is no room to innovate and iterate on what they are looking for in your products and services. And this translates to losing market share and competitive advantage.
The NoSQL architecture, specifically the dynamic schema and structure of Neo4j Aura gives you the ability to take charge of your data and make changes according to your development cycles or newer data models. This equates to faster builds, more comprehensive releases and a wider, richer data-set that can be contextualized and understood instantly. Graph technology is the logical choice for building a Customer 360 application. Under this approach organizations not only get valuable insight into the individual client’s behavior and patterns, but also those of their family, friends and colleagues. This allows for stronger personalization, targeted campaigns and successful execution, resulting in increased customer satisfaction and retention levels.
Graph Technology on Google Cloud

Neo4j is a recognized leader in graph database technology and the only fully integrated graph solution on Google Cloud, helping to fill a common need for Google Cloud customers. Both Neo4j and Google Cloud are invested in continuing to grow our partnership and mutual product direction.
You can find and deploy the Neo4j graph database straight from the Google Cloud marketplace, whether you want to download the software for an on-premises deployment, use the virtual machine image, or use the hosted solution, Aura on Google Cloud, the graph database-as-a-service. In any deployment, you get the same enterprise-grade scalability, reliability, and connectivity along with successful, repeatable use cases you can rely on to resolve your particular challenges and integrated billing.
For a real-world example of how graph technology can optimize financial services, you can read our Case Study with fintech Current. Current, a leading U.S. financial technology platform with over three million members, used Neo4j Aura on Google Cloud to create a personalization engine based on client relationships.
To learn more about Neo4j Aura on Google Cloud for FinServ organizations, register for our webinar on Thursday, December 16 with Jim Webber, Chief Scientist, CTO Field Ops at Neo4j and Antoine Larmanjat, Technical Director, Office of the CTO, Google Cloud.
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Why Apigee: Customers Explain How this API Platform Boosts their Business
Apigee customers Expedia, Equinix, Morningstar, Swisscom, Vantiv, Telstra, Fox Broadcasting company, Laterooms.com and partners, SAP and Accenture share why they joined forces with the intelligent API management platform company.
Apigee is helping customers execute businesses commerce with other partners, securely expose assets to external developer communities, secure APIs throughout the digital value chains, open up new revenue streams and do much more.
Here is A Quick Glance at Who Said What
“Through our partnership with Apigee we have been able to create some really amazing implementations using our APIs to commerce with other partners and other types of content interactions in the marketplace and so far, the response in the market has been outstanding,” says Brad Jaehn, VP, Product GoGo.
“Businesses cannot afford to be on an island. It really is all about the interconnections among businesses. And when you are talking about sharing digital assets, you really are talking about APIs. Apigee is essential to provide a way for sharing of APIs, sharing of those assets between those companies,” says Garrett Vargas, Senior Director of Technology, Expedia.
“We mainly choose Apigee for three reasons. One is their experience in the enterprise market. They could really handle big data amounts for big enterprise customers. Second, their experience in telecom and third they really helped us to securely expose our telecom assets to the external developer community,” Heinz Herren, Head of IT.
“One of the primary reasons we selected Apigee was because it could secure APIs throughout the digital value chain. It offered us access control, authentication control, even versioning of APIs so that our customers are selecting the right APIs. It protects them and their assets as well as our assets, backend systems, and processes. Apigee allowed us to do this not only securely but very quickly. So, we are excited to partner with Apigee on the Equinix cloud exchange,” says Brian Lillie, CIO, Equinix.
“We all talk about user experience. It’s the end thing in Silicon Valley. But what about DevX. Vantiv wants to provide clean, open and standard APIs. To the Apigee powered Vantiv platform, enables our community of developers to innovate much faster. rather than having them discover capabilities by various other providers of commerce services, this one-stop shop Vantiv platform powered by Apigee give a clean, open and standard API layer for all commerce services to our developers,” says Navneet Singh, Senior VP, Product, Vantiv.
Watch this short video to know what else Apigee customers and partners are saying about the platform.
BPAY: Uncovering New Business Opportunities with APIs

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Editor’s note: Today we hear from Jon White and Angela Donohoe from BPAY Group. BPAY Group is best known for BPAY, the leading electronic bill payment system in Australia, handling one-third of the market. Learn how BPAY Group is positioning the organization for the future by using APIs to streamline workflows for existing customers and new businesses.
BPAY has been a leader in the bill payment industry in Australia for 22 years and provides a secure, fast, and convenient way to connect individuals, businesses, and banks to help people stay on top of their bills.
One of the reasons that BPAY is the preferred bill payment service for so many Australians is our commitment to human-centered design. We’re continuously talking with customers and looking at ways that we can deliver better experiences, products, and services, such as peer-to-peer payments. During these conversations, we noticed some ways that our processes were causing friction for existing or potential customers.
For example, we traditionally used a batch processing system to handle requests between billing companies and banks. But that could cause headaches for some customers, as an error in even one request could cause the whole batch to be rejected. Plus, many “neobanks” (new types of digital-only banks) wanted to work with real-time transactions instead of batch processes, which take longer to complete.
We realized that APIs had the potential to solve many of the challenges impacting customers while opening the doors for future product and business development. We developed a few customer-facing APIs and tested them in closed betas. This experiment went far better than we expected, and we realized that there was a huge appetite for APIs among our biller customers.
While we had developed many APIs for internal systems, developing APIs that were easy to consume by our customers was a new challenge. We needed to move away from our home-grown API development approach and make our API environment more powerful, versatile, and easier to use. The API experts at The Singularity worked with us to develop a strong API strategy. We decided that we would need to support our new strategy with a scalable API management platform.
After a rigorous search, we landed on the Apigee API Management Platform. Apigee was the only solution that met all our technology and business requirements. With Apigee, we have a solid foundation for APIs that will help us deliver more value for all customers.
Creating a custom development environment
BPAY is a trusted brand in Australia, so it was very important to us that we maintain our reputation for excellent customer experiences. When setting up our developer portal, we started with a closed pilot and used developer feedback to make the portal as convenient and simple to use as possible. The Apigee developer portal has many built-in features to help us customize experiences, and if we run into roadblocks, the Apigee team at Google listens and helps us create the custom experience we want.
The developer portal has already proven to be extremely popular. In its first month live, we registered 104 developers in the sandbox environment and 10 developers in the production environment. That was before we even started marketing our developer portal, so we expect those numbers to rise quickly.
Breaking new ground with APIs
We’ve already released four foundational APIs, with a goal of eventually releasing dozens. Our APIs are helping us create smoother experiences for customers. We mentioned that when processing a batch of payment files, one mistake could cause the entire batch to get rejected. Our APIs now enable businesses to validate all payment information before submitting a batch file, dramatically reducing the chances of errors. They can even use our APIs to automatically generate batch files in the right format for different banks.
While APIs improve service for current customers, they also open the doors for new areas of business. Buy now, pay later (BNPL) services, which enable customers to spread out payments across weeks or months, are already popular in retail spaces. After releasing our first APIs, we connected with two BNPL billing services. These companies use our APIs to validate customers’ bill payment information and then pay the bill in full on behalf of customers. This was a completely new use case for us, one that could not have been implemented without our APIs.
The payment service NoahPay also adopted our APIs to validate payment information and let customers pay bills using funds from their WeChat accounts. This is an exciting new market for us, as it’s one of the first examples of how we can connect to international digital wallets through our new APIs. It’s also a great way to introduce users of WeChat, a messaging app used by more than 1 billion people in China, to the BPAY brand.
Planning for the future of bill pay
We have big plans for APIs in the future, and Apigee helps make these plans a reality. We plan to establish a generous freemium monetization model that will allow customers to make up to 200,000 API calls for free each month with tiered payment plans above that. This will enable us to open the doors for smaller organizations while providing optimal support for larger businesses and banks that might need to make millions of calls. Having powerful end-to-end monetization features built in to Apigee means that we can process monetized transactions with ease.
Built-in reporting functionality will also help us make sure that we’re understanding the market’s need for APIs and always providing our customers with valuable services and support.
Apigee greatly streamlines creating self-service API environments. Even as we grow our business, our internal teams will be able to continue providing excellent customer service without needing extra staff to answer questions, help with integration support, and constantly check API security. APIs are the way of the future, and Apigee prepares us meet the challenges that come along with it.
Your Guide to Kubernetes Best Practices

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Kubernetes made a splash when it brought containerized app management to the world a few years back. Now, many of us are using it in production to deploy and manage apps at scale. Along the way, we’ve gathered tips and best practices on using Kubernetes and Google Kubernetes Engine (GKE) to your best advantage. Here are some of the most popular posts on our site about deploying and using Kubernetes.
- Use Kubernetes Namespaces for easier resource management. Simple tasks get more complicated as you build services on Kubernetes. Using Namespaces, a sort of virtual cluster, can help with organization, security, and performance. This post shares tips on which Namespaces to use (and not to use), how to set them up, view them, and create resources within a Namespace. You’ll also see how to manage Namespaces easily and let them communicate.
- Use readiness and liveness probes for health checks. Managing large, distributed systems can be complicated, especially when something goes wrong. Kubernetes health checks are an easy way to make sure app instances are working. Creating custom health checks lets you tailor them to your environment. This blog post walks you through how and when to use readiness and liveness probes.
- Keep control of your deployment with requests and limits. There’s a lot to love about the scalability of Kubernetes. However, you do still have to keep an eye on resources to make sure containers have enough to actually run. It’s easy for teams to spin up more replicas than they need or make a configuration change that affects CPU and memory. Learn more in this post about using requests and limits to stay firmly in charge of your Kubernetes resources.
- Discover services running outside the cluster. There are probably services living outside your Kubernetes cluster that you’ll want to access regularly. And there are a few different ways to connect to these services, like external service endpoints or ConfigMaps. Those have some downsides, though, so in this blog post you’ll learn how best to use the built-in service discovery mechanisms for external services, just like you do for internal services.
- Decide whether to run databases on Kubernetes. Speaking of external services: there are a lot of considerations when you’re thinking about running databases on Kubernetes. It can make life easier to use the same tools for databases and apps, and get the same benefits of repeatability and rapid spin-up. This post explains which databases are best run on Kubernetes, and how to get started when you decide to deploy.
- Understand Kubernetes termination practices. All good things have to come to an end, even Kubernetes containers. The key to Kubernetes terminations, though, is that your application can handle them gracefully. This post walks through the steps of Kubernetes terminations and what you need to know to avoid any excessive downtime.
For even more on using GKE, check out our latest Containers and Kubernetes blog posts.

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Modern web APIs allow businesses to build compelling experiences that generate, consume, and combine digital assets. They’ve become the foundation upon which digital business is built.
But the path to success can be unclear, rough, and challenging. The game has changed, after all, and this requires tossing out many of the rules by which you run your business.
You’re not alone. Other businesses have struggled down the path toward increased competitiveness, agility, and opportunity—and we, at Google Cloud, are privileged to partner with hundreds of customers across myriad industries as they gear up to go digital.
We’ve seen the successful decisions and strategies that have enabled companies to adapt to new digital realities. But we’ve also seen businesses make decisions that slowed, stymied, or, in some cases, reversed progress toward becoming an agile digital business.
There’s no one path to travel. There are many ways to make your business digital, but there are also many pitfalls. This is the survival guide to help navigate a smarter digital journey.
There’s one bit of advice we can offer above all else: GET STARTED. If you don’t take steps to adapt to the new competitive landscape and to your customers’ expectations, the very survival of your business is at risk.
Download the E-book to know more about the best and worst practices of how a business leads, measures, invests in, and executes an API initiative.
Project to Platform: Financing Digital Transformation

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Financing digital transformation poses a significant problem for many enterprises we work with. It’s not because the C-suite doesn’t support it: the need to become more agile, digital, and data-driven is nearly ubiquitous in executive public pronouncements. But most large organizations look at IT investment in a way that’s ineffective for a successful digital transformation effort.
A varied combination of factors affect an organization’s success in the digital ecosystem, and a lack of alignment between IT and business leaders can hamper even the most digitally sophisticated organizations. Empirical research by the Apigee Institute shows clear evidence that a solid digital transformation effort, aligned across business and marketing, whose progress is carefully tied to core enterprise metrics, must be supported by an investment strategy that uses a “real options” portfolio approach.
Let’s explore ways to think about funding digital transformation.
Planning for the Unimaginable
Common IT investment strategies are focused on straight-line net present value (NPV) business case calculations, which emphasize linear solutions and impacts. These methods ignore the value of enabling a range of options and potential future use cases, which an API program, with its reusable, highly consumable digital assets, makes available for the enterprise. In addition, these methods often ignore the value of the new categories of business data generated by such programs, as well as business capabilities that were impossible to imagine before the capabilities came online.
One media company we’re working with was astounded by a project that now makes key sales provisioning available to large distribution partners within two months, when previous estimates predicted two years and many millions of dollars, each.
More importantly, that functionality will now be reused across all of their numerous current partners and sales channels, and is enabling exciting new partnerships that were too costly before. This functionality was an unexpected by-product of their original API effort—it wasn’t even the main focus of the initial project.
There was no way that the impact of this capability or its implications on new business could have been predicted at the outset, and no way to formally model the outsized impact this functionality will have on the enterprise. Any attempts to do so would have been deemed ludicrous.
Breaking from the Status Quo
So how do you fund an API-driven digital transformation, which by nature emphasizes speed and optionality to unlock new ways of doing business, instead of the business-as-usual single-use, point-to-point integrations that perpetuate status quo thinking? For a world where the latter is the dominant paradigm and you don’t have a clear C-level mandate, here are three suggestions.
1. Enable your web/e-commerce teams. Many such teams find their responsibilities expanded to include mobile, kiosk, and many other digital initiatives, while being trapped in the traditional web server, do-it-yourself paradigm. These teams are actually quite open to technology, and often harbour weekend hackers who love to explore the new capabilities that are expanding the digital ecosystem at light speed. Tapping this passion by funding new approaches and quickly realizing immediate projects can create first the technical, and then the business proof points that resonate with a strategy team. These capabilities must be nurtured to move out of the lab into production, where real results are created.
2. Focus on partnerships. Opening and accelerating your relationships with partners via APIs (read more about partner API initiatives here) is high-impact and relatively easy to model. This business area can prove out an API platform, and in our experience creates clear business value that can support future justifications for other business units. What’s best about these wins is that sales operations groups are typically very tactical and demanding, so when they see the value, these groups will send a message to the rest of the organization that APIs have business value. Further, your enterprise’s core partnerships have the focus of executive attention. Adding value here will elevate the stature of the API program in the C-suite.
3. Work on your CFO/financial organization. Using your successes in e-commerce and partnerships, you can propose a more robust investment using a real options approach that leads to treatment of APIs as products. This path is predicated on what research has proven to work: the adoption of a digital KPI target, coupled with a portfolio of programs whose net result is to achieve the target KPI.
Building Toward the Big Vision
But what about the visions of ground-breaking business models, ubiquitous connectivity, and enablement of an ever-shifting set of opportunities on big platforms and with unlimited partnership possibilities? Yes, these are still the endpoints to work toward, and fundamentally comprise the strategic reasons to embark on a digital transformation. If your enterprise has the C-Level leadership (in the form of a CDO or CDO-like figure), supported by a well-funded, sophisticated investment approach, by all means, build that new world now.
However, should that vision be shared only within your business unit, a forward-thinking IT group, or a dedicated innovation team, the most important thing to do is to build your team’s capability—and your program’s credibility—while delivering value along the way. The approach we suggest here has been proven in many of the organizations we work with; once your organization begins working faster and at lower costs by orders of magnitude, you’ll have created enough leverage to change the way your organization invests in its API program.
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