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Omni Channel Retail
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.
As digital technology partners, we are committed to continuous improvement of our products and services for our clients. Our ISO 9001 certification reaffirms the immense skills and dedication of our global teams.
Used by over 1 million companies globally, the ISO 9001 certification is the world’s most recognised and highly regarded Quality Management System (QMS) standard, enabling organisations to deliver consistent, repetitive processes to generate productivity and ensure top-tier customer service every time.
Digital-first Businesses are awash with many types of internal and external data. These sources are essential for boosting business efficiency, record keeping and analysing user activity and trends.
But where does it all go? With data pushing businesses to their limits, how can they maintain secure, low-cost, flexible data infrastructure whilst accumulating exponential masses of data?
Many companies are migrating from traditional data warehouse management systems to a new medium known as the ‘Data Lake’.
In a post-Covid world, digital technology is an essential component of the Customer Journey. Without it, the process by which a customer interacts with an organisation becomes jumbled and disjointed, leaving customers disengaged.
According to recent studies, 67% of people say their customer expectations are higher than ever. As technology advances, expectations from customers increase. Therefore, organisations need to level up from their traditional legacy systems.
Organisations need a platform that integrates every stage of the Customer Journey to maximise engagement.
By collaborating with experienced digital partners like Neo Technology, organisations can build seamless, secure, and efficient platforms that engage clients and build trust with their data, money, and business.
In the age of digital services, system reliability is paramount. Conglomerates like Amazon deal with millions of online business transactions 24/7 and even a momentary system failure could cost them billions. Real-time customer expectations and the need for zero downtime have pushed the need for systems that are not just functioning but also highly available and scalable. With so much money and data at stake, neither businesses nor customers can afford disruption to their online business exchanges. So how do we prevent, minimise, and resolve these errors? This is where Site Reliability Engineering comes into the equation.