Corporate Expenses: AI is Changing Everything
The way companies manage corporate expenses is undergoing the most profound transformation of the last two decades. This isn’t a gradual evolution, it’s a clear inflection point. Just two years ago, only 31% of organizations were actively managing their AI spend. Today, that number has jumped to 98%. Something structural has shifted. And companies that […]
How to Prepare Your Company for the Future of Expense Management
If you’ve made it here, you probably already know that corporate expense management is changing at an unprecedented pace. Autonomous AI, actionable policies, pre-spend controls, and operational sustainability aren’t future concepts, they’re realities that some companies are already implementing while others are still debating whether change is necessary. This guide is for those who have […]
4 Truths Your Expense Data is Screaming at You
Managing expense reports is a universally tedious task. For finance teams, it’s a storm of receipts, vague justifications, and manual data entry. For employees, it’s a frustrating chore that often ends with them waiting weeks for reimbursement. This administrative grind makes it easy to view expense management as little more than a necessary, and often […]
5 Truths Reshaping Banking (That Hardly Anyone Talks About)
Headlines often highlight FinTech disruptors and AI. But the deepest changes in banking are happening behind the scenes. Based on reports from KPMG, the Financial Stability Board, and other market experts, here are five trends that will define the future of financial services. 1. Higher Costs, Worse Experience The great paradox: whilst internal costs for […]
3 Steps to Discover SME Customer Activities with Open Data
In commercial insurance, ensuring the accuracy of data is essential. However, it is surprising how often even the most basic data, such as activities, can be incorrect. This reveals a widespread problem in the industry: inaccuracies abound, and the consequences can be far-reaching, damaging to the customer and to insurers’ profits. How is this problem […]
Complying with Mastercard AN4569 by enriching payment data
Security and accuracy in financial transactions are fundamental pillars to ensure the trust of customers and the success of any banking institution. In this regard, Mastercard’s AN4569 regulation sets strict standards to ensure the protection of payment data and prevent fraud. This is where payment data enrichment enables these requirements to be met, not only […]
What Are The Benefits Of Customer-Centric Insurance?
In today’s insurance industry, having a customer-centric sales approach is emerging as a sign of efficiency and the best way to differentiate from the competition. By tailoring insurance policies and pricing to individual needs and characteristics, insurers are not only revolutionising the industry, but also redefining the customer experience. In this article, we delve into […]
Understanding the Mastercard AN 4569
Data analytics is one of the most appreciated tools today, due to its ability to transform and modernise many different sectors. Among them, the banking sector stands out, where data plays a crucial role. That’s why, in this article, we introduce you to the Mastercard AN 4569 regulation, which obliges its providers in Europe to […]
The Confidence Score: Identifying the quality of data
In the insurance and banking industry, the accuracy and quality of data is crucial for making commercial or strategic decisions, because bad quality information can result in wasted resources and poorer customer service. But how can we be sure of the quality of the information we receive? Confidence Score is the key The Confidence Score […]
How to improve cross-selling with Wenalyze?
In the banking sector, cross-selling has become a vital strategy for companies to drive economic growth and build customer loyalty. However, the effectiveness of this strategy depends to a large extent on the quality and depth of the data you work with. That is why at Wenalyze we use the potential of open sources and […]
