Pods and
Calculators

Pods and Calculators

Gartner®, a leading technology research and consulting company, has identified decision intelligence as one of the top trends in the data and analytics area. Decision intelligence consists of a number of disciplines, including decision management and decision support. It provides a framework for creating decision models based on business outcomes and behaviors. Another relevant trend is use of web-based calculators, which are an enabling agent of decision intelligence. The number of calculators now available on the web is growing rapidly. This growth can be attributed to calculator ease of use, flexibility to solve an array of specific customer problems, and immediate and quantifiable value creation.

Recognizing these trends, the real estate industry has quickly adopted various types of calculators to solve everyday business challenges. These calculators solve problems, such as estimating a construction cost or a lease cost, based on user inputs.However,most currently available calculators are limited to basic math functions, such as addition, subtraction, multiplication,and division.They simply perform pre-programmed operations for specific real estate calculations.However,real estate calculations are rarely this simple.These simple math calculations fail to account for the many factors involved in real estate projects.Hence, the results are suspect and their uncertainty translate into uncertain degrees of risk for users.

Geospatial Analytics®, an industry leader in real estate analytics, is transforming use of calculators to enhance decision intelligence via introduction of its Analytic Calculators® and Analytic Pods®. These innovative solutions extend calculators beyond basic math functionality that is pre-configured for specific problems. Analytic Calculators® integrate additional data sets with user input to perform actual analytics that solve business problems. For example, to estimate a construction cost, the user multiplies square footage by the cost of materials per square foot.
Analytic Calculators® take the next step to compare the result with built-in estimates for similar buildings.The tool then outputs the relative accuracy of the original estimate based on multiple factors such as building location and building type.Analytic Calculators® can also predict the probability that other factors, such as built-in market trends on material costs and local labor rates, will increase or decrease the estimated costs.Similarly,for a real estate lease, the user can sum the square foot lease rate and anticipated operating expenses to determine the total leasing cost. Analytic Calculators® provide additional insights,including analysis of the lease rate compared to other similar properties, the probability that electrical cost trends will affect operating costs,and inclusion of specific lease terms that could decrease overall costs.

Analytic Pods® further leverages the powerful capability of Analytic Calculators®. Analytic Pods® “daisy chains” the outputs from selected Analytic Calculators® analyses to create a total outcome for a series of related calculations. For example, it can combine all of the construction estimates and then apply analytics to assess risks and opportunities using industry data. Users can analyze an entire lease transaction based on factors such as lease provisions, landlord attributes, trade center quality, and market trends. These solutions enhance decision intelligence by extending beyond a simple “answer” to useful insight and perspective on the quality of the answer and its associated risk.

Incorporate valuable analytics to add measurable value to your decision support process to realize cost saving, reduce risk, and gain a higher level of confidence in your critical decisions. Contact Geospatial Analytics® today.
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The end goal in portfolio and process management is optimization. Capital-intensive assets are distributed to best meet demand, and the organizations responsible for long-range planning and utilization are fully in control.

Outdated business processes are strangling organizational goals of increased productivity and flexibility. Employees struggle to achieve basic awareness of assets, working through disconnected database and functional silos.

A strong process and information foundation creates a platform from which higher value goals can be pursued. Increased operational awareness, better decision-making and shared information lead to a sense of gaining control.

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