The power of our data, structured and packaged for your needs
A Data-Pack is a data collection structured according to relational schemes.
Taking advantage of Data Packs allows to enhance your analytical tools, build and train custom machine learning models, make advanced evaluations through clustering. With Data Appeal you can trust what you analyze thanks to our proprietary liquid data-lake that hosts a rapidly growing dataset consistently cleaned, updated and verified.
The process of creating a POI Data-Pack is divided into three main steps which allow the final customer to create the data package that best meets their needs:
1. INFORMATION VALUE
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A POI Data-Pack always aims to provide information for analysing points of interest. In doing this, one or more areas needs to be defined: these will be the areas on which POIs are to be obtained. Among all the existing POIs within these areas, you can refine your search by filtering for industries and/or categories and/or brands of interest. Each of these variables will allow us to define a value on the information you are requesting.
2. MODULAR CONSTRUCTION
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Modular construction of POI Data-Packs allows to embrace custom use cases. We start building by defining a basic package that can be modularly enriched with the information of your choice, with the only constraints that every basic package must always include core attributes. Once the basic package has been defined, it will be possible to choose and connect all the add-on packages you want by choosing from those available.
3. DELIVERY CONFIGURATION
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To get the best possible service, it is important to define your delivery options. The latter always include the delivery channel and any future update frequency of the data-pack, but for some add-on packages (for example those that allow you to analyse trends) it also includes the definition of a past timeframe on which request the data along with a sampling rate.