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Data Hubs/ Analytics

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Analyze data collected by a running Intuiface experience. Use that analysis to identify audience preferences, areas for design or deployment improvement, and business insight.
Google Analytics

Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. It has been adapted for use with mobile app data collection as well. Intuiface-collected data can be exported to Google Analytics and treated as if it were mobile app data.

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Mixpanel

Mixpanel is an analytics platform for the mobile and web, supporting businesses to study consumer behavior.

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Excel

Your Intuiface experience can write to and import data from a Microsoft Excel spreadsheet - stored in the .xlsx format - thanks to the Excel Interface Asset (IA). Each tab in a workbook - i.e. each spreadsheet - is represented by a unique Excel IA.

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Intuiface Analytics

Intuiface Analytics makes it possible for Intuiface users to identify the preferences and - when relevant - demographics of those who use their interactive content. This data can even be collected in an environmental context, meaning you can capture information like location and weather, potential influences on user decisions. Then, through the use of charts and dashboards, analysis can be applied to identify the metrics and trends that support design, operational, and business KPIs (Key Performance Indicators).

Intuiface is unique in the digital signage world for the depths of its support for analytics. And to supplement the extensive feature set, Intuiface also offers a couple of service engagements designed to help clients build an analytics competency.


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Segment

Businesses use Segment's software and APIs to collect, clean, and control their customer data. It collects user events from web & mobile apps and provides a complete data toolkit to every team in your company.


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SQL

Analytics data collected by Intuiface can be optionally exported to and stored in a SQL-based datastore. One would do this to warehouse experience data in-house and to run custom queries.

SQLis a programming language for reading from and writing to a traditional, relational database - i.e. one comprised of rows and columns.

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REST

Analytics data collected by Intuiface can be extracted from the Data Hub using REST-based web queries. One would typically do this if using a third-party analytics platform and needed a way to import the data without using a middle man like Segment, which Intuiface also supports.

REST - Representational State Transfer - is currently the most popular architectural approach to Web APIs, the APIs used to communicate with services accessible in the cloud. When a call is made to a REST API, the response is a transfer of information (representation) about the state of the requested resource. This information is using formatted using JSON or XML, making it easy to read.

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NoSQL

Analytics data collected by Intuiface can be optionally exported to and stored in a NoSQL-based datastore. One would do this to warehouse experience data in-house and to run custom queries.

NoSQL database technology stores data using approaches different from the columns and rows used by relational databases. This gives them the ability to combine different types of data together, store very large amounts of information, and retrieve that information quickly. However, SQL databases tend to better support complex queries and a high number of transactions.

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