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Next-Generation Analytics: Optimizing Business Decisions with Next.js

This article explores how the combination of Next.js, serverless technology, Cube.js, and the Vercel platform can enhance business decision-making.

In today’s dynamic business environment, effective decision-making relies on access to timely and transparent data. However, many organisations find it difficult to collect, process and share data quickly and intuitively. In this case-study article, I will outline how the use of Next.js, serverless, Cube.js and the Vercel platform can significantly improve business decision-making while increasing the visibility of key data within an organisation. We will also analyse an example implementation of these technologies in a business environment.

Next.js: Building user interfaces effectively

Next.js is a popular React.js framework that allows you to build user interfaces quickly and efficiently. Using SSR (Server-Side Rendering), SSG (Static Site Generation) and HTTP Streaming, Next.js offers lightning-fast page loading and excellent responsiveness. This translates into a better user experience and greater efficiency in making decisions based on available data.

Example: In the case of an e-commerce company, using Next.js to build the user interface allows for instant refresh of product information, live data analysis and real-time content personalisation. This, in turn, enables faster decision-making regarding marketing, inventory or pricing strategy.

Serverless: flexible and scalable data processing

Serverless technology, such as AWS Lambda or Azure Functions, enables flexible and scalable computing without the need for infrastructure management. Combined with Next.js, it enables backend functions to be created and run in the cloud when needed for business data analysis.

Example: Real-time processing of customer transaction data can be implemented using serverless functionality. This enables the company to monitor purchasing trends, forecast demand and adjust business strategies based on current information. This enables faster marketing and operational decisions.

Cube.js: Real-time multidimensional data analysis

Cube.js is an open source framework that enables the creation of advanced analytics dashboards and reports. Integrating with databases such as PostgreSQL, MySQL or MongoDB, Cube.js provides real-time multidimensional data analysis. To ensure the highest performance and fastest data access, the Cube.js server has been migrated to Cube Cloud for convenient data management, preaggregation and fast data delivery.

Example: Moving Cube.js to Cube Cloud has significantly accelerated the process of analysing and accessing data. High-performance preaggregation enables faster report generation, and data management in the cloud provides convenient scalability and flexibility. As a result, decision-makers can gain immediate access to up-to-date information and make fast, informed business decisions.

Vercel - The "Deploy on Friday" Cloud

The Vercel platform is an innovative tool for deploying Next.js applications and other front-end technologies. It provides scalability and performance, resulting in rapid delivery of applications to end users.

Example: Using the Vercel platform allows user interfaces based on Next.js to be implemented quickly. Thanks to automatic scaling and CDN (Content Delivery Network), data and reports are available in real time to users in different locations. This makes it possible to rapidly increase the visibility of data within the company, enabling rapid analysis and decision-making based on up-to-date information.


I hope I have covered well in this case-study article how the use of Next.js, serverless technology, Cube.js and the Vercel platform can improve business decision-making processes. Next.js allows you to build user interfaces efficiently, serverless technology enables flexible processing, and Cube.js along with migration to Cube Cloud provides the highest performance and fastest access to data. The Vercel platform enables rapid delivery of applications to end users. An exemplary implementation of these technologies can benefit business data analysis, process optimisation and rapid decision-making. By doing so, an organisation can increase its competitiveness and achieve success in the market.

Working on business analytics has allowed me to spread my wings in programming and has enabled me to prove to others and, most importantly, to myself how much I know and can do which I also consider a success.