Graphical Analysis

Graphical analysis is almost always the beginning of any data analysis as it helps to identify errors and differences among different sets of data. Furthermore, the use of graphical methods helps to identify the distribution of the data and whether multiple populations exist within the dataset. Graphical methods can often tell a story about what is buried within the data set.

Statistical Analysis / Data Analysis

Numerical Insights can analyze your data sets to:

• Predict performance
• Compare groups, customers, products
• Uncover trends & cycles (Seasonality)
• Make Data-driven decisions

Predictive Modeling

Predicting product or business performance can provide a company with strategic insight. In order to develop predictive models, we use linear and non-linear regression, logistic regression, multivariate methods. There are many techniques available for prediction and the key is knowing which method is most applicable.

Online Surveys & Survey Analysis

Online surveys allow you to gain quick insight into your customer base. For example, surveying your customers on your level of service is an inexpensive way to benchmark your level of service against the competition. With the market currently slow, now is the opportune time to identify and address customer concerns. You can improve customer relationships, improve products and procedures and be ready to excel when the economy turns upward.

Numerical Insights can design the survey you need and gather the responses for analysis. We will further provide statistical analysis of the responses to validate the differences we see.

Sample survey topics:

• Product trends and characteristics
• Communications
• Staff effectiveness
• Company processes and procedures
• Competitive benchmarking
• Employee satisfaction