Growing your business with payment analytics and insights
June 1, 2022
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5 min
Payment Analytics is the process of integrating and analysing payments data from different sources like bank transfers, credit cards, employee expenses, P cards, supplier invoices and e-wallets. Businesses can benefit from this technology by getting insights into their revenue, payment trends, and business unit’s buying behaviours of goods and services from third parties.
In this era of big data, analytics has enabled businesses to make more strategic and informed operational decisions. Payment analytics software is critical, and companies are starting to depend on payment data to personalise and enhance a wide range of digital services, transactions, and interactions. Unfortunately, for all these years the payment domain has often been overlooked when it comes to optimising data. Even though investing in analytics for marketing, inventory analysis, customer buying behaviours and other areas is more common, one should not overlook the potential impact of payment analytics.
This guide will teach you how to use your spend data to transform your business for profitable growth.
Download our free Low Risk Low Value (LVLR® ) framework to get complete spend visibility and achieve over 20% reduction in costs.
Download our Category Management Optimiser Checklist that has helped business leaders monitor and improve the effectiveness of their existing spend categories and subcategories enabling them to add millions to their bottom line.
It is safe to say that partnering with a payment platform that easily collects and processes data and provides real-time actionable payment analytics is the right way to go. Real-time analytics can help improve business decisions by providing different dashboards or views based on different lenses such as finance, procurement, technology, marketing, etc enabling these insights to drive key business decisions that foster revenue and business growth.
Having extensive transaction data for each individual payment can greatly improve the transparency of buying patterns across various categories and sub-categories. Valuable insights into the price paid for goods or services can be obtained from payments data. That's why it's even more important to have analytics showing spend by categories, spend by suppliers, spend by geographies, and spend by transaction buckets, as a few examples to slice and dice your payment data into useful insights.
Historical data provided by payment analysis software and tracking tools can help you spot business patterns that are typical of payment systems. Using historical data to analyse past trends with your preferred analysis tool can help businesses make informed decisions and spot potential opportunities. This data can help you understand financial performance and improve strategic planning.
For example, data can help you make decisions about risks in your business. The data available has tremendous power that can provide significant value to your business. Your data may also reveal the specific interests and needs of individual business units or customers, which you can use for your benefit to propel revenue growth.
Through different technology platforms that collect data, we can better understand the needs of our customers. There are now thousands of data points that can be analyzed and researched in almost everything related to business. Companies are learning more and more about their customers through analytics.
Enterprises can access and analyze customer usage data, end-to-end transaction performance metrics, and with dynamic enterprise visualization tools, easily gain a clear view of customer usage data to make proactive management decisions. With valuable insights driven by information and payment data, a business can improve profitability, optimize revenue, and reduce costs. Payment data can provide critical business insights into customer behavior, loyalty management, bounce management, fraud detection, chargeback reduction, and more. Payment service providers can monetize the data provided by analytics to help merchants understand their market and create more personalised campaigns
Trade analytics simply means using data analytics to improve business operations and increase customer brand loyalty. The best analytics tools for processing credit card payments are those that combine the ability to analyze, predict, and strategies. For example, a retailer that has a presence in multiple geographic locations, a large number of stores, a large variety of products, a large number of sales channels, price-driven customers, and fierce competition will benefit enormously from Payment Analytics. As companies struggle to develop analytics skills in-house, they may hire data analytics consulting firms to do the job for them. This means it's critical to have analytics tools that give merchants the ability to set up intuitive dashboards and present payment data at the click of a button.
The data can help you see a clearer picture of what kind of experience you should be creating to increase customer loyalty. From recognising customer demand for certain products to payment types, data-driven businesses not only ask the right questions about what affects their business, but they can also actually answer them. Customer relationship management, data that can be very cumbersome, comprehensive and resource-intensive to manage, can be represented in detail using data analysis and business intelligence tools.
With traditional cost-cutting measures failing to drive business growth, finance leaders are discovering a new approach to cost control and growth — one that is focused on data-driven decision-making and continuous improvement.
With Spend Analytics, finance leaders can achieve greater accuracy in their budgeting and forecasting processes, which can lead to improved financial performance for their organisations.
In today's uncertain economic environment, Spend Analytics emerges as a transformative solution for finance leaders to meet the imperative of driving business growth.
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