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To increase velocity, speed to market and reduce cost use lowcode no-code Software solutions to the Highest Standards with the Microsoft Technology Stack and benefit from 40% savings on Deployment!

Data is power. AI, Machine Learning and Cloud technologies allow businesses to make data-led decisions that ensure business scalability, agility and growth.

In a world where over 90% of all data ever has been generated in the last five years and 5 quintillion bytes of data are created
globally each day, many organisations still struggle to process and leverage the vast quantities of data at their disposal.

In Agile, Sprint Velocity is the key metric in Scrum. It refers to the analysis of past workloads to calculate how much work can be done in future sprints.

Velocity is calculated at the end of the sprint by adding up the points for all completed User Stories or customer requirements.

With this prior knowledge, your business can plan future projects knowing how much work can be completed in the next sprint. This will help you to accurately allocate time and resources to complete the project.

Furthermore, Sprint Velocity estimates give customers and stakeholders a better idea of when they can expect the delivery of products and services.

This guide will cover the best ways to improve Sprint Velocity. The common denominator is that to move faster, you must make the effort now and “plant the seeds” to enable higher productivity in future sprints.

For a successful cloud migration, you need to understand the existing IT framework and the current best practices around migration and deployment. This will help you avoid and resolve any Post-Migration Issues.

Our guide will explore the best strategies and solutions for your cloud migration journey.

It will cover the three core pillars of a strong cloud migration path: planning, moving workloads, and operating in the cloud.