Systems | Development | Analytics | API | Testing

Event-Driven Microservices in Banking and Fraud Detection | Designing Event-Driven Microservices

How do we know whether Event-Driven Microservices are the right solution? This is the question that Tributary Bank faced when they looked at modernizing their old fraud-detection system. They were faced with many challenges, including scalability, reliability, and security. Some members of their team felt that switching to an event-driven microservice architecture would be the magic bullet that would solve all of their problems. But is there any such thing as a magic bullet? Let's take a look at the types of decisions Tributary Bank had to make as they started down this path.

Data Provenance vs. Data Lineage: Key Differences

Two related concepts often come up when data teams work on data governance: data provenance and data lineage. While they may seem similar at first glance, there are fundamental differences between the two concepts. Data provenance covers the origin and history of data, including its creation and modifications. On the other hand, data lineage tracks the data’s journey through various systems and processes, highlighting its flow and transformation across different data pipeline stages.

Countly's Product Analytics for The Privacy-Conscious Crypto Market

This article is part of a mini-series showcasing how Countly serves various industries. If you're interested in exploring product analytics from different market perspectives, these articles might be helpful: This isn't our first discussion about the crypto market in relation to product analytics and data privacy. While we’ve previously explored topics like NPS and crash analytics, in this article, we'll take a more comprehensive approach, addressing the following questions.

insightsoftware EPM

Discover the seamless financial transformation offered by insightsoftware's EPM solutions in this in-depth What's New video. Explore how businesses can boost productivity, minimize risks, and gain real-time data access, leading to optimized financial processes and enhanced decision-making capabilities. From streamlining business cycles to ensuring accuracy and efficiency in financial governance, this video showcases the power of insightsoftware's EPM solutions in driving tangible value for organizations.

What is Data Observability? A Complete Guide

Data observability is a process that actively monitors an organization’s data for accuracy, health, and usefulness. It is the ability of an organization to have comprehensive visibility over its entire data landscape, including data pipelines, infrastructure, and applications. Data observability allows the organization to quickly identify, control, prevent, remediate, and fix data outages, all within agreed service level agreements (SLAs).

How to Build the Best Analytics Experience for Your SaaS Product

For any product team with a Software as a Service (SaaS) application, the significance of embedding capable, reliable analytics is well understood. But it’s important to remember how valuable these tools are for your users’ experience, too. Having fast access to data and easy ways to explore it is, as you know, key to monitoring business performance, finding trends, sharing insights, and improving your core product. Today’s business user also wants more when they use your product.