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Real Estate

Traditional data has only power to predict results up to 40% that the real estate investor can rely on, new and unconventional data sources are becoming increasingly popular and relevant in order predict with more accuracy level. Few such alternatives of data source are residential and online surveys, yelp reviews and online search. 

Our real estate solution ensures that there is a collective pool of residential data available that can be harnessed quickly and with actionable insights. Our solution let developers find hidden patterns and harness these patterns for profitable investment. Our layer over layer data architecture help examine the data both independently and dependently so you can analyze data with degree of freedoms as per your thought process. We can identify granular hyperlocal patterns at the city block level. 

Residential Data Analytics

We evaluate data points that become guiding points to evaluate living resident minimum wants, desires aspiration and what they like the most. These data points help evaluate most significant aspects such as market valuation and shifting perspective. These perspectives are very important for upcoming projects targeting similar customers and similar geographies. 

Key purchase Trigger Analytics

Geographic regions with limited floor space has to designed to address aspirations of target consumers and with shifting perspectives it is always critical to remain step ahead from competitors projects. Therefore, it is very much required to evaluate key purchase triggers. For example, whether people aspire to hove more community space than living space to have minimum set lifestyle. 

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Hyperlocal Pattern Analytics

Majority of customers wants restaurants, shopping mall, hospital, grocery stores, and brand stores in the vicinity of the property. As the target demographic data traffic around these hyperlocal facilities increase it becomes indicative of price increase or scope of similar projects increases. Therefore it is important to identify these hyperlocal pattern through data. 

Satisfaction Correlations Indexes

It is important to track aspirations of target consumers and maintain a dynamic data base of it. Our solution maintains these data points and also map them on satisfaction correlation indexes. The satisfaction correlation indexes automatically touch the aspirated customer base as the project begins. 

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Purchasing power Evaluation Analytics

Our solution allow you position your projects to the right target consumers by mapping their aspiration and purchasing power. It is important that data points and respective correlations are established to leverage the generated opportunities. 

Transaction Timing Analytics

Both buyer and seller can signal the other one on the timing for willingness to make a transaction and to capture this trend is significantly important without any lags to encash opportunities. Data points and intelligence can act as a big breakthrough to tap these opportunities and our solution provides such transactional timings. 

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Property Listing

You can list the properties and generate lead and other relevant data points for your analysis. We have interface for both buyer and seller and have a 360 degree solution with both mobile and web based interface. 

Credit institutions, property insurance and other transactional institutions will also bank on data and intelligence around it for exploring and backing projects. Architects will design projects based on data patterns and investors have already started banking on social sentiments, search trends, online survey data and real time sales data. 

We have capabilities to develop our own AI based prediction models based on data and variables obtained at various levels in the value chain. 

For AI based predictive models Please feel free to connect with us on 

info@moodanalytica.com

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