Systems | Development | Analytics | API | Testing

Welcome to the final entry in Yellowfin Japan’s long-running ‘How to?’ blog series! This series of blogs has aimed to to provide your team with a step-by-step guide of how to create your own Yellowfin dashboard, starting from the design and data transformation flow, all the way to creating rich data visualizations and using the right report filters.

This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.

Marketers at financial services companies have their work cut out for them. Their companies have a wealth of data, but that data is often fragmented among different systems and divisions, and protected-class data has a wide range of restrictions on how it can be used for different product lines.

Invoice management is an important task regardless of the size of your business, but it can quickly become overwhelming due to the sheer volume of invoices, varying formats, and the need for accurate tracking and timely payments. Manual processes with paper invoices are time-consuming, often leading to errors, delays, and difficulty in maintaining organized records. However, with the right invoice processing software, you can streamline invoice management, saving time and reducing errors.

Automation and hybrid deployment complement each other to provide the utmost security in data integration.

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operations–and ultimately customer experiences–those data insights must be grounded in trust.

In today’s dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Here’s a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.