RNR Consulting utilizes a variety of statistical analysis and research tools on our project engagements. Our academic background and real world experience enable us to develop statistical survey tools, and the observation data sets to ensure that the analysis produces a statistically significant result. Whether we are utilizing descriptive statistics to analyze existing data or collecting data for internal statistical analysis, we approach data by conducting data cleansing, organizing and matching the collected data, identifying any necessary additional primary or secondary data to supplement existing data, performing comprehensive data analysis to ensure project specific outcomes, data interpretation and examination of implications. We take our analysis a step further and provide commendations for business processes, policy, programs, and service/product improvements.

We have expertise in the following areas related to statistical analysis and research:

• Experimental design
• Data analysis and modeling
• Sampling
• Data mining
• Performing statistical significance and validity
• Quality control and improvement
• Regression analysis
• Data reliability studies
• Business/product survival and reliability analysis
• Developing, conducting, and analyzing surveys
• Time series studies
• Probability analysis

Sample Case Studies:

Downtown Partnership of Baltimore - Economic Impact of Panhandling on Baltimore City

Stark Area Regional Transit Authority - Development of Customer Service and Marketing Plan and Employee Morale Survey