We have experience with data analysis for manufacturing, services & retail companies (brick & mortar as well as online retailers) with analysis of operations - manufacturing, logistics, warehousing, customer services in terms of productivity, cycle time, turnaround, cost of production to measure past performance, compare current performance to past performance, benchmarks, variance from norm and other such metrics. Routine reporting to track performance Trend analysis & Forecasting Create alerts to identify potential problems and opportunities in advance using predictive statistical methods In addition to that, we have the experrience to present that statistical academic studies for post-graduate students. Quantitative Data Analysis: Validate your data plan to make sure it examines your research questions, conduct descriptive statistics, assess assumptions, help to generate and present analyses, and create tables and figures. Most importantly, we make sure you're comfortable with the analyses, guide you through the process, and make sure you can defend it. Qualitative Data Analysis: At the end of a qualitative data analysis, you need to see the big picture. Assistance in conducting case study, phenomenological, or grounded theory research. Help can include transcribing interviews, coding data, selecting themes, and assessing the reliability of the themes. Having a second eye on thematizing data is recommended.
