Resources

The Decision Maker's Guide to CSP Billing Modernization

Download the white paper today to go from legacy to leader with modern architecture and data management approaches. Billing is an increasingly complex and vital part of the underlying business of communication service providers (CSPs). From operational workloads to customer insights, billing is simultaneously a core business process and a central tenet of the end-customer experience. Both business and customer experience functions share a common trait: They rely on a complete and accurate accounting of the underlying customer base. Collating this customer information, which is crucial for smooth operation and making informed business decisions, is far from trivial. This is largely due to the unique internal systems and data architectures that span across the tens or sometimes hundreds of internal business units at a given CSP. CSPs also have many different product offerings, often under completely different divisions, with each using a different system. In addition, consolidation in the market has resulted in many mergers and acquisitions, with each business bringing its own systems and customers to be integrated. This has driven many large CSPs to begin modernizing and rationalizing their billing functions to embrace modern architectures and data management approaches. When done successfully, this can yield significant improvements in customer experience while at the same time reducing costs — critical in an increasingly competitive marketplace with compressed margins and rising customer expectations.

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Expectation Versus Reality For Payments Data Monetisation

2021 Payments Analyst Report: The Time is Now For Payments Data Monetisation A March 2021 global survey conducted by Celent, the leading research and advisory firm focused on technology for financial institutions globally, in partnership with MongoDB and Icon Solutions, shows what corporate clients want from their data-led services, and how companies plan to monetize payment data and support compliance with ISO 20022. At the core of this are two global surveys of senior executives, which in combination provide an in-depth view over both the demand and supply ends of the value chain. Interviews with treasurers and CFOs at 217 corporates has identified common business challenges, demand for new services and – crucially – willingness to pay for service enhancements In tandem, a survey of 168 senior bank executives has given us a unique understanding of how banks plan to address these growing customer needs Research highlights Investment in payments data monetisation is growing with 38% of banks reporting that supporting payments data monetisation initiatives is a clear objective of their payment infrastructure investments Corporates are willing to pay for many value-adding services with 79% of banks believing that demand among corporate clients for data-led services is increasing The time to invest in payments data monetization is now with 32% of corporates wanting greater assistance from their bank partners around ISO20022 and 74% of banks seeing ISO20022 migration as an investment opportunity in new data-led services 77% of corporates that value analytics-driven tools to support their decision making would pay to access this functionality, The most sought-after payment data services by corporate clients were consolidated real-time data from multiple banks in a single dashboard (38%), real-time cash forecasting (37%) and better security and fraud protection (36%) Corporates are always looking for the best service with 69% saying they would consider moving business to providers that can bring greater operational efficiencies Download the report to find out how you can leverage your payments data to open up greater opportunities. You can also watch a panel discussion hosted by Fintech Finance discussing the results.

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The Payments Data Monetisation Opportunity in Asia

2021 Payments Analyst Report: Data Monetisation is High on the Industry Agenda To better understand the path forward for the financial services industry in Asia, Celent, the leading research and advisory firm focused on technology for financial institutions globally, has conducted a detailed analysis of today’s landscape. This is based upon in-depth primary research conducted in 2021 with both senior executives at corporate banks and a combination of corporate treasurer, CFO, and similar roles at large companies (with $500m and upwards in annual revenues). Many banks in Asia are clear on the ways in which payments data can be leveraged to support innovation for corporate clients. Those that do not have plans, products, or offerings to meet corporate needs must consider the risks to their existing client base. Research highlights Banks are increasingly viewing data as a strategic asset and are investing accordingly with 76% of banks reporting that they are working on a business case to leverage payments data Security is a major pain point for clients and they would pay for enhanced services, ranking fraud in cash management as the single biggest operational pain point Client needs are clear with corporates in Asia focusing on driving greater efficiency, and particularly automation, in their treasury and finance functions – 78% of corporates would consider moving some or all of their banking business to partners that can bring greater efficiencies Addressing demand for new services is an important driver, and 75% of corporates plan to work with new providers that can support them with data-led services 72% of banks view data monetisation as bringing improvements to the efficiency of payments operations – this compares to 52% at the global level Failure to deliver on client needs in areas such as virtual accounts, payables automation, and tailored services may drive churn Download the report to find out how you can leverage your payments data to open up greater opportunities and new revenue models.

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[On-demand Webinar] The Decision Maker's Guide to FHIR

Healthcare has become a data challenge. With the advent of FHIR and the drive toward interoperability, we are closer to a future where episodic, intermittent care is replaced by a holistic, “longitudinal” view of the patient to promote life-long health. Choosing the right data strategy can help get you there. Watch this 60 minute on-demand webinar to learn how MongoDB , Google Cloud , and Exafluence , together, can help healthcare organizations modernize and simplify their data strategy for interoperability via FHIR, preparing them for today while helping them stay agile for tomorrow. In this session, we will cover: The state of the healthcare industry today and why FHIR & interoperability matter How choosing the right data platform is critical to succeeding in an interoperable future The Exafluence FHIR solution and why Exafluence chose MongoDB Google Cloud for healthcare - optimizing performance, reach, and cost savings

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The Foundations of Sustainable Speed: Four Strategies to Accelerate Innovation

The Crucial Role of the Modern Data Platform In an economy increasingly defined by digital experiences, success depends on speed — on how quickly teams can build, test, learn from, and adapt new software applications and services. Yet with speed comes risk — a long-standing truth about technical development. When teams are moving at full speed, existing risks are heightened and new ones are introduced. And the quest for speed often demands more-modern technologies and different ways of working, underpinned by new methodologies, skills, organizational constructs, and application architectures. In this white paper, we explore: How a data platform can help accelerate development while mitigating risks The role of your organization’s culture in moving quickly Four areas crucial to moving at sustainable speed: Multi-cloud agility, innovation velocity, predictability, and privacy & compliance Download now.

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Take Your Data From Fragmentation to Verification with MongoDB Atlas’ Single View

In today's digital economy, data is critical to every organization. To thrive, organizations must derive key strategic insights from data in order to inform decision-making, adapt to change, respond to breaking events in real time, and more. However, because companies are broken down into smaller departments and teams, data collection and management generally is not centralized — and it might not even be standardized. Various teams tend to use different platforms and procedures to collate, search, sort, and analyze data. Needless to say, navigating this hodgepodge of systems can be confusing. As a result, organizations need a single view into all their data. Download this ebook to learn: The four challenges to customer identification How one company implemented single view to fulfill two key requirements: scalability and security How to verify and deploy customer data with single-linkage via Stitch, a widely-used, extract-transform-load (ETL) tool Why use serverless for single view And more! Download the ebook.

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Why the Document Data Model

Built around JSON-like documents, document databases are both natural and flexible for developers to work with. They promise higher developer productivity, and faster evolution with application needs. As a class of non-relational, sometimes called NoSQL database, the document data model has become the most popular alternative to tabular, relational databases. In this guide, we’ll discuss the fundamental design concepts underpinning the document data model, how they help developers innovate faster, and use cases where you can put document databases to work. Download the Why Documents Guide to learn more.

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Fast Track Modern Applications in Public Sectors

This webinar, co-organized by HashiCorp, is designed for accounts in the public sectors in Singapore and Malaysia. You will learn how MongoDB and HashiCorp are better suited to application modernization efforts in the webinar.

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MASTERING ENTERPRISE AI AT SCALE

Launch and Expand Your MLOps With the Right Database and Data Science Platform Across industries, business leaders are looking to leverage their data to uncover insights, create value, and enhance decision making. Armed with intelligent recommendations from data analytics, organizations aim for solutions, such as pricing adjustments, supply chain cost reductions, and unprofitable product overhaul, to identify new, lucrative lines of business. However, extracting valuable, real-time insights from an analytics platform is a complex process- MongoDB and Iguazio can deliver unprecedented ease in the integrated delivery of data and data science on flexible, agile, multi cloud platforms. Learn in this whitepaper how the combination of MongoDB and Iguazio allows rapid implementation to leverage data through ML/AI, and Real Time use cases. This is where a serverless, easy-to-manage, cloud-native data science platform can make the difference between a successful project and one that never makes it to production. Finally, discover some real-world examples, all using MongoDB and Iguazio, that demonstrate the need for solutions capable of operationalizing machine learning while simultaneously supporting anytime, anywhere, always-on deployments in hybrid environments.

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MongoDB Evolved: Becoming the World’s Most Wanted Database

From a niche NoSQL database in the first half of the last decade, MongoDB has become the world’s most wanted database, used by developers to build almost any class of modern application. This paper charts MongoDB’s evolution in key areas including: Resilience, data integrity, and scalability Versatility of the MongoDB query API and drivers Security and privacy If you last used MongoDB back in its early days, or are running an older version of the database, then you might not know what has changed with MongoDB over the years. This paper will answer any questions you have. We will step through the most important new capabilities and enhancements made from 2015 through to the present day. Download the white paper to learn more.

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MongoDB Connect: Unlock New Revenue Streams with Advanced IoT Architecture

Today, the Internet of Things connects billions of devices worldwide and that number is growing daily. Realizing the business value of connecting all of these “things” enables the creation of new revenue models, improves productivity, and generates new insights that drive operational efficiencies. MongoDB’s intelligent data platform allows telecommunications providers to architect a resilient, scalable, and secure IoT solution, thereby accelerating and de-risking the delivery and operation of IoT applications. Watch this on-demand webinar to explore how you can swiftly and securely realize maximum value from the IoT, leveraging MongoDB. This webinar will feature: A live conversation with Joao Pacheco, Senior Solutions Architect at Vodafone, discussing how Vodafone SmartTech is using IoT and MongoDB to enhance customer experiences How modernizing your network and infrastructure enables you to drive new revenue from IoT How Converged Service Platforms can increase existing and open new revenue We hope you enjoy our webinar, if you would like to learn more, take a look at our MongoDB for Telecommunications page.

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Becoming Digital by Default: The Role of the Modern Data Platform

With worldwide uncertainty increasing exponentially and customer behaviors evolving rapidly, organizations must respond and adapt in real time, not only to meet demand as a basic necessity but to lead the market in this brave new world. For technology to foster — rather than disrupt — the work we do, it must be allowed to lead. Companies that are digital default gain improved insights, enhanced customer experiences, and new business models — all in real time. At the core of this transformation is data, of course: How data is stored, accessed, and analyzed can be the key or the lock to agility, speed, and efficiency in innovation. In this white paper, we explore: How data is an integral part of innovation and leadership in today’s market How leaders are accelerating digital transformation with data platforms that simplify their data environment. The conditions required to cultivate a digital-by-default culture within an organization. How the path to a progressive, agile data model is unique for each organization, based on their starting point.

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