Sample of Analytical Work
Algorithm: Got big data? Want to make sense of it? Or just want get some insights by automating the calculations? We can help. If you have big data or even a large number of data that is hard to handle manually, creating an algorithm will help tremendously to get real insights of those data. This short video is an example of an algorithm that is used for medical data to increase their KPI on specimen collection and procurement.
Qualitative data: Qualitative data can be hard to manage. Thinking how are you supposed to make sense of all those texts? Well, you don’t have to. If you have qualitative data from survey or any other source, Lezolve can help you code the data so that all those texts from semi structured and open-ended survey questions make sense. Lezolve can also create a pivot table so that all you have to do in future is copying the data and code it the way you want. Then get a visualized data in a chart format with a click of a button in Excel.
Financial Forecasting: Starting a business but have no knowledge about Financial or Accounting data? Well we can help. We will manage the data for you so that you can fully focus on your BIZ. Lezolve can help you build a financial forecasting model using Monte Carlo and/or Sensitivity Analysis. Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. It is a technique used to understand the impact of risk and uncertainty in prediction and forecasting models.
Quantitative Data: Data can be frustrating sometimes. The numbers don’t make sense or you just have a ton of it that you can’t wrap your head around. If you have tons of quant data, then Lezolve can help you manage and manipulate the data, create a pivot table so that you can get better insights on your data. Even better, we can analyze the data based on your preference and create reports in word or in a Presentation mode so that you have everything you need without touching any of the messy data.