Real estate management, also referred to as property management is an old tradition. However, academic interest in the discipline has garnered substantial attention in the past few decades. The following is a list of some of the most relevant real estate management dissertation topics to help you get an idea on what to write about […]. The following is a list of some of the most relevant real estate management dissertation topics to help you get an idea on what to write about for your specific program. The following is a suggested list of research topics on real estate management to help you think about what to write on:. Outsourcing of real estate management- a discussion on current trends and practices.
Real Estate Data Entry & Management Services
Research Real Estate Data Set, Sample of Essays
The first steps are a culture of innovation and a CIO who is a business strategist. Traditional property data is being commoditized every day, with data accessible and available to everyone. The value we provide to clients is delivering true market insights that are personalized to their specific industry, business and employees. We are aggregating data from structured and unstructured sources to provide predictive analytics and insights to our clients. These market insights are no longer limited to our clients' use of real estate; they cover their overall business. Add to that the fact that the number of devices generating data--and the number of data sources themselves--has grown tremendously.
Research Real Estate Data Set
We explored the use of the open-source R Language to develop alternative types of predictive models for retail-site sales forecasting. The study found that a straightforward linear regression—when developed using best-practice, cross-validation techniques to select variables from a large variety of store, customer, and trade-area predictor variables—can be developed rapidly and cost-effectively using open-source, free software. After using the R Language for the entire process from data processing to predictive modeling, cross-validation, GIS mapping, and linking to Google Maps , we found that the R Language is a powerful and cost-effective tool for predicting retail-site sales, with the only drawback being the ramp-up time required to learn to use a script-based matrix language and syntax. Within the field of retail sales forecasting, a common approach today is an analog one, where trade area and performance data for similar retail locations are summarized and then used as an input to a judgmental evaluation of the sales opportunity for a proposed retail site.
In the past year itself, SunTec Data processed more than 1. SunTec Data offers end-to-end real estate data entry and back office support, right from capturing data to entering it in the software helping realtors, real estate agents, property dealers, etc. At SunTec Data we offer a host of services highly relevant to real estate businesses.