Welcome to inter-data
inter-data supports Companies to better know their competitors through comparative analysis. Costs, productions times, market trends, competitive products, customers, clinical trials, etc are few example of what inter-data can explore.
inter-data supports Companies to perform statistical analysis of their own internal products, find equivalences, conformities with particular legislative requirements. inter-data builds taliored solutions for your needs. We believe that the key of the succes in your businees is to relate your business with the competitors and understand the way to be more performant on the market.
The easiest way to start is always the simplest way
Correlation is most often the simples way to see if you are going in the right direction.
- Start collecting as much as possible information about your business.
- Look at competitors.
- Look at the market demand.
- Informations are valuable data!
- Gather information/data and find any kind of relation behind them!
- Classify data according to your maket needs.
How far can you go?
Uncertainties are better know as "margins or error".
When you start considering risks associated to a business trend then you are dealing with uncertainties.
- Include uncertainties/risks in your data analysis.
- Look at relation changes when uncertainties are included in.
- Output results cha drastically change when uncertainties are considered!
What can I really trust?
When considering several trends, products, trials, costs, customers, etc. the question is: which is the best performance?
- Proficiency tests help you valuating the best performances.
- Compliance with specific legislative requirements can be fully valuated with proficiency test.
- Several customer-oriented needs can be included in proficiency tests evaluations.
Be concise and clear!
Summary of your analysis must be easy to understand and give a clear message
- Output summary gives you a visual overview of the action you want to take.
- Margin of errors, average/median values and consistency of your analys is visualized in an unique way.
The tools
R programming and Matlab programming are used as statistical and graphic tools to perform inter-comparison analysis.
- Powerful statistics functions.
- "Good look" graphics.
- Easy and fast implementation according to customers' needs.