Analysis

MIT Dynamic

Data Analysis

How we analyse data

MIT have spent the last 15 years working closely with multiple systems integrators, telecoms maintenance providers, valued added resellers and system manufacturers in order to create their industry leading UCentric solution. The main requirements for transformation of voice is for speed, accuracy and continuity of service and a seamless and painless migration from legacy to the new UC solution. 

These key requirements generate a huge workload within the solution provider as the digital transformation steps become more convoluted.

Access to legacy platforms

Knowledge of the platforms 

Capture of data  

Normal-isation   

Blending with other sources  

Highlight potential issues  

Export to ‘bulk loaders’ 

Cloud Orchestrat-ion

This process can add weeks or months to any migration plan and can impact severely on resources, costs and change-freeze windows. After spending a great deal of time working with Service providers and SI’s, MIT found that it was the best practice to perform an initial network audit as early as possible, before any planned migration or changes, as this provides an accurate dataset of intelligence to hold early data validation sessions with the client. This allowed a review of insights, conclusions and recommendations not only for short term cost reductions and efficiency savings but also informed discussions about future migration projects. This level of intelligence significantly helps to embed the customer for the short, medium and long term. 

We also realised that the production of myriad Excel spreadsheets wasn’t the answer, and working with our team of Agile developers, created a web-based portal that visualises both configuration and utilisation of resources within the existing client network, but also allows a logical and simplified approach to exporting the data in a readily digestible form to be consumed by UC automation solutions. This portal can exist in the cloud, within the resellers network operations centre, or even within the client network if security dictates it. 

Highlighting issues

We found that one of the key outputs of that initial data capture is the issues list, where applying known standard rules, MIT can highlight potential issues that require a resolution before any migration or changes take place. This allows the supplier and the client to better manage the issues in good time, and most importantly prevent incidents post migration. This assists in getting the existing network into an optimal state both to save immediate costs and prepare for the future. 

As a supplier progresses through the project, MIT’s UCentric tool handles new data inputs, any new unknowns which are experienced, and any flexing of the management information reporting to meet new requirements potentially out of the original scope. 

By using the UCentric tool from start to completion of the initial data capture and migration programme, time to cash is reduced with projects being delivered on time and often under budget. 

The UCentric solution removes many of these hurdles and provides a simplified approach to the problem by either providing a self-service toolset or an MIT managed service approach to these migrations.