Neo Technology

Software

What Are The Biggest Post Migration Challenges?

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.

What Are The Biggest Post Migration Challenges

Download eBook The Biggest Post Migration Challenges Our eBook guide ‘What Are The Biggest Post Migration Challenges’ will get you up to speed on the current best software strategies and how to implement them.

ISO 9001:2015 Certification

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.

How can Data Lakes Maximise Analytics and Machine Learning?

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’.

How Can Data Lakes Maximise Analytics and Machine Learning?

Download eBook How can Data Lakes Maximise Analytics and Machine Learning? Our eBook guide ‘How can Data Lakes Maximise Analytics and Machine Learning?’ will get you up to speed on the current best software strategies and how to implement them.

How Technology Improves the Customer Journey

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.

How Technology Improves the Customer Journey

Download eBook How Technology Improves the Customer Journey Our eBook guide ‘How Technology Improves the Customer Journey’ will get you up to speed on the current best software strategies and how to implement them.

How can Site Reliability Engineering (SRE) Enhance Digital Platforms?

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.

What is a Data Lake and Does Your Organisation Need One?

Digital businesses are awash with many types of internal and external data.

But where does it go?

These data sources are absolutely essential for business success, business efficiency, trends, record keeping and analysing user activity.

How can your organisation maintain secure, low-cost, flexible data infrastructure while keeping up with massive data volumes?

Businesses are pushing systems to their limits, which is why companies are flocking from traditional data warehouse management to a new system known as the ‘Data Lake’.

A Data Lake is a consolidated, centralised repository that houses various forms of data in their native format from disparate applications within a company. It allows data scientists to locate and analyse large quantities of data quickly and accurately.

Businesses that use Data Lakes can safely centralise their structured and unstructured data, enabling them to retrieve and utilise data to boost efficiency, scalability and accelerate their growth.