Support for real estate price prediction through data analysis.
In the real estate industry, accurate price forecasting is extremely important for property buying and selling strategies as well as investment decisions. It is necessary to analyze a wide range of data, including market fluctuations, property characteristics, and surrounding environments, to predict future prices. However, efficiently collecting, organizing, and analyzing this data requires specialized knowledge, time, and costs, making it a significant challenge for many companies. 【Use Cases】 - Property price assessment - Real estate investment decision-making - Market trend analysis 【Benefits of Implementation】 - Objective price proposals based on data - Improved accuracy of investment decisions - Quick response to market changes
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basic information
**Features** - Investigation and organization of current data distribution and content - Support for selecting hypothesis propositions (issues) - Data preprocessing - Visualization (dashboard) based on various BI tools - Support for formulating action plans based on results **Our Strengths** We were established with the goal of promoting data-driven management and improving operational efficiency for companies. We have been recognized for our responsiveness to requests and our meticulous work, allowing us to support major clients such as JR West and Panasonic. We are a system solution vendor capable of responding to requests for operational efficiency using IoT and effectively utilizing accumulated data.
Price information
The content of the service may vary depending on the type of data handled, the difficulty of the issues, and the quantity, so we will provide a personalized estimate.
Delivery Time
※Current situation analysis: 3 months; issue selection: 2 months; data processing and database creation: 2 months; dashboard (visualization): 1 month; operational flow determination: 1 month. [Approximately 6 months]
Applications/Examples of results
- Building a KPI dashboard for executives that aggregates data from core systems, business applications, and Excel data from various departments. - Detecting signs of failure and triggering alarms from data collected via IoT systems. - Analyzing product characteristics by combining sales logs and customer survey data. - Managing construction workers by combining vital data and attendance data on construction sites.
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Company information
Our company offers Sigfox solutions, AI and IoT solutions, and development support services. We handle systems such as remote monitoring systems for vehicle washing equipment, post-maintenance systems for air conditioning units, and remote monitoring systems for Lossnay. Please feel free to consult us if you have any requests.
![[Case Study] KDDI Corporation](https://image.www.ipros.com/public/product/image/2117954/IPROS4868877717347187004.png?w=280&h=280)
