FAQ

Demand is an economic concept that refers to the expected amount of goods and services desired by consumers at a given time. In the case of aLocal Development (our software), we use a predictive algorithm to estimate possible demand levels and the desire, based on existing market conditions according to the most recent available data, of existing consumers and entities (individuals, business, government, non-profits, etc).

Net demand refers to expected levels of consumer demand for an economic asset, service, or commodity based off of existing, concurrent levels of housing and industry. aLocal Development uses a predictive algorithm for these observable and measurable trends in housing and major sectors of industry. If there are a greater number of industries available within a given area than there is estimated demand, then this suggests a negative net demand. In other words, the surplus of industry activity is inversely matched by a death of consumer demand. In the same way, this holds true if we flip the two variables to opposite ends of the spectrum. If there are fewer industries or lower housing levels than the aLocal algorithm estimates, then this indicates that there is a shortage of activity and a net positive demand from consumers.

A proprietary software function developed by aLocal Solutions, a ScenarioBuilder test allows the user to generate projections of multiple economic scenarios. This projection is customized and tailored to the user, who can adjust the input levels of industry, housing, demographic clusters, and other socioeconomic factors. This dynamic, econometric tool then provides a powerfully insightful comparative analysis, delivered in an easy-to-understand report document. The data and analytics included in this report are imperative for informed decision-making in regard to policy drafting, business operations, and other strategic processes.

aLocal Solutions, the creator of aLocal Development programming, uses thousands of data points throughout the nation to identify and consolidate findings on current statistics such as: industrial concentrations, housing consumption, capital levels and other systematized demographic data. Insights are also gleaned and processed into a report from informatics derived from tabular and spatial representations. This data is then grouped into levels that are impacted by higher levels of a given linear transformation of a vector space. These variables are used with causal analytics to develop predictive algorithms used to estimate demand levels.

Simply put, we analyze the data that matters most for your industry, organization, or business, and we use advanced analytic algorithms to interpret the findings and to present them in a way that you can not only easily understand, but use to your advantage in future instances of important decision-making.

YES! This information is available to anyone for FREE! At aLocal, we feel information is a commodity and we are poised to harness its power, value and benefits. We strive to make this information available to everyone.