How we helped Analysys Mason to create a website and ‘Knowledge Centre’ for thousands of users
With Analysys Mason, we co-created a stable system that is used by tens of thousands of users each year.
Analysys Mason is a global leader in management consultancy focused on telecoms, media, and technology (TMT). The company provides commercial and technical expertise to a range of private and public sector companies in more than 140 countries.
Building a new corporate website. Creating a stable knowledge base for research content and subscription clients. Integrating content and subscriptions with a mailing system for notifications and newsletters.
Analysys Mason required a partner with solid understanding of web technologies and third-party integrations. And, that is where Vega IT helped. We formed a team of three experienced software engineers with technical skills, including Optimizely CMS 11, .NET 5.0, Razor, and Jquery.
As technical partners and consultants, Vega IT automated the process by which Analysys Mason’s clients can access the content that is included in their subscriptions.
Website users can access Analysys Mason’s Knowledge Centre where they can browse a range of free content and clients can access premium content via their organization’s subscription. Content can be filtered by type, availability, date, region, industry, and so forth.
Costa now has a foundation that supports ongoing improvement across markets and teams. Our collaboration enabled them to work in a more strategic, data-driven way and laid the groundwork for future growth and optimisation of their coffee machine platform.
With our support, Costa significantly improved their internal coordination and product lifecycle management. Key benefits include:
- a centralised and documented overview of platform capabilities and changes;
- improved tracking of performance and consumption metrics;
- more effective planning and communication across teams;
- a scalable process for introducing new features and improving machine functionality;
- reduced time spent on troubleshooting thanks to better visibility into machine behaviour
