MZA utilises and in depth methodology to ensure the most accurate and in depth analysis on current and future trends within the communications market.
MZA utilises a 5-pronged methodology:
- On-going desk research
- Face-to-face (web, video, in-person) research and interviews
- Telephone research and interviews
- Data collection and validation
- Forecasting models
A key USP of MZA’s is the depth of research and analysis we conduct not just at a global and regional level but notably at a country level. In addition our research programme incorporates the views of not just the vendor community but importantly the key service providers and channels prevalent in the market.
Desk research includes a thorough review of all published information. Sources include web based research, regulatory bodies, government statistics and company web casts, product/press bulletins and annual reports.
MZA carries out an extensive on going research programme. This is conducted at a global, regional and country level. All research is typically conducted by MZA’s own analysts. MZA’s interview programme includes engagements with vendors/manufacturers, OEM/ODMs, service providers and channel participants. MZA has excellent relations with all the leading European, North American and importantly APAC players. MZA has longstanding relationships with the major players in the market place enabling us to have unique access to key individuals within these organisations.
Data collection and validation
A key part of our research programme is an extensive programme of data collection and analysis across all aspects of market trends (installed base, pricing, market volumes, market value). This data collection programme is carried out at a global, regional and country level. Data is collected and validated from not just from the major global vendors, but importantly from key regional and local country players. A key part of this activity is analysis and validation of the data collected to ensure an accurate portrayal of trends is presented.
MZA has developed its own sophisticated, proprietary forecasting model for each product area. Inputs to the model include pricing, installed base data, historical shipment data, demographic and economic data. This is then cross reference against analysis of the impact of competing and new technologies and product life-cycle trends. Our models are processed using the latest cloud technologies, offering us a wealth of processing and data-analysis power.