#data application

Know what data agility is and how it impacts data sharing.

Salesforce Aiming To Dominate Predictive Analytics with Data Science

  The recent asset of RelateIQ by Salesforce has again conveyed exceptionally strong signals about the CRM pioneer’s intent to strengthen its capabilities in predictive analytics by integrating AI technology into its software. However, according to experts, Salesforce will be focusing on achieving market leadership in predictive analytics rather than trying to become a force in AI. The company…

How Real-Time Data Replication and Analytics Help Power Industries

There are already so many ways of effectively storing information, but many businesses and government organizations have yet to understand the full potential of being able to use all that information to improve their efficiency or profitability. In fact, many organizations just store data mostly for bookkeeping purposes, and some of those that do rely on such data often have to work with…

Data is always in beta. There is a tremendous effort to refining it and making it useful. The most realistic path to this goal is to socialize the effort. Data as public wealth is almost always being used as secondary data – the government agency collects the data as a primary user for a specific purpose, but it often has additional applications for secondary users to solve problems and create useful insights. Go Code Colorado works with state agencies to populate the Colorado Information Marketplace (data.colorado.gov) with machine readable data that will enable developers to build useful web and mobile applications to benefit businesses in the State of Colorado. This allows for a unique position in understanding what the data consumers need and matching that need with what the data providers have to offer. Go Code Colorado data teams focus on their role as “data liaison” to help users understand what only data providers know about data and capture feedback from the Go Code Colorado competitors. This enables public data sets with thoroughly vetted metadata delivered in a well designed user experience (UX). Government data stewards and secondary end users of data often live in very different worlds, without common language or context for each other’s needs and desires. Having staff that’s positioned between the two worlds, that also knows enough about each party’s needs and desires, is critical to bridging the gap. And bridging the gap is critical to truly enabling the crowdsourcing of taking public data and creating useful applications and insights. Visit the Go Code Colorado website for ways to get involved and more on the data liaison resources:

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Colorado’s Data Repository

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Go Code Colorado is a statewide apps challenge that invites citizens and entrepreneurs to develop creative solutions to business challenges using public data. Go Code Colorado works with state agencies to populate the Colorado Information Marketplace (data.colorado.gov) with machine-readable data that will enables developers to build useful web and mobile applications to benefit Colorado businesses.

Good Data Fuels Successful Apps App developers have one shot with users to get them to keep an app on their phone – when the user downloads it and takes it for a test drive. The app either returns the results users are looking for and provides something useful, or it gets deleted. If the user query returns nonsense – or even something that doesn’t speak to them – they are quick to delete it and never look back. Tech-savvy consumers may subconsciously gauge the tech caliber of a city by the maturity of the apps available to them in that city. Uber, Airbnb, Yelp, GrubHub, PostMates, Waze and Dabble are all examples of apps that, in the early days of their conception, could only be found in major cities. Similarly, cities with public transportation riders know the value of having strong developers in their communities, based solely on how accurately the train arrival is estimated by their transit app. Both scenarios rely on the availability of machine-readable, publicly available data, and the strength of cohorts in the developer community who can turn that data into useful insights for the public.

A second example from year three of Go Code Colorado also showcases the value of increasing community outreach and continued publishing of quality data to the Colorado Information Marketplace at data.colorado.gov. The following description of Foodcaster highlights how data can be transformed into applications that directly benefit the citizen experience, and how their relationship with their data providers enhances the functionality of their product.

Foodcaster helps food trucks find the best location to park by informing food truck owners of parking regulations, foot traffic, and other beneficial tips through its mobile app such as local events and activity. Foodcaster used state data sets for bicycle and pedestrian foot traffic and cellular service data, and combined this data with parking regulations data, Google Maps, Twitter social data and Facebook events. Examples of beneficial regional data include the Denver Regional Council of Government’s (DRCOG) Zoning and Planimetrics datasets.