US Demographics Mean Income

This application visualizes mean income of households in United Stated, for each zip code. Click here to open the application

The visualization is based on American Community Survey (ACS) from census.gov

Red = high income
Yellow = medium income
Green = low income

If you have ideas for further visualizations, please contact me via support@eaglepeaks.com. If you want to embed this app to your web page, read the instructions here

-JP

Where Do People with High Income Live in Helsinki?

This is an app, through which you can visualize demographic data from Finland. Try also clicking for example “Relative” and “Higher level university degree”, or “Employed”.

Click here to open the application

Check this article how to embed a WhereOS app to your own website. If you have ideas what kind of data you’d like to see in the apps, write me an email support@eaglepeaks.com.

The data used in this visualization: Paavo – Open data by postal code area, Statistics Finland. The material was downloaded from Statistics Finland’s interface service with the licence CC BY 4.0.

-JP

How to Embed a WhereOS App

Embedding a WhereOS apps to any web page or a blog is easy. Just include the an HTML iframe-tag with width and height properties, and point the link to the application you have created.

URL Format:

https://[domain]/a/[application_name]/[ui_view_name]

[domain] is the name of the service domain you have used when starting the WhereOS service for yourself

[application_name] is the name of the application

[ui_view_name] is the name of the UI view, if more than one UI view exists for the given application

Remeber to replace spaces in the application name with underscore in the URL. Application with name “Reachability Analysis” becomes Reachability_Analysis and so forth.

<iframe frameborder="0" style="width: 100%; height: 400px;" src="https://apps.whereos.com/a/Reachability_Analysis"></iframe>

-JP

WhereOS – A new way of doing Spark, Hive and SQL

WhereOS is a new cloud based operating system for distributed, data driven applications, that’s built on top of Apache Spark. WhereOS makes it easier to build, host, distribute and share applications built using (big) data.   

WhereOS can be programmed through SQL programming language including built-in functions for ETL (extract, transform, load) operations, statistical analysis, geographical and spatial analysis, data visualization etc. Programs written in WhereOS applications are always executed as distributed processes, without developers explicitly design their applications for parallel processing and scalability.

WhereOS uses Spark and Hive as the execution engine for the applications. WhereOS can be extended through two types of drivers: function and data asset drivers. Function drivers can introduce any new Hive/SparkSQL functions, to implement new features for the SQL language. Data asset drivers provide new ways of integrating data formats and/or data transmission protocols into the system.

If you want to discuss more, contact us through support@eaglepeaks.com

-JP

Location Analytics Industry Trends

Here are three relevant industry trends, why I believe WhereOS is going to change the world:

  1. Hyperconnected World – Businesses are getting more and more connected to online, cloud based information systems as a part of their business processes. Customers are accessing companies’ online services 24/7 through different interfaces, generating more and more information about their purchase behavior, location, movement, social interactions and so forth – all tied to geographical locations
  2. Business Digitalization – New businesses are challenging traditional industries by using combinations of static and dynamic information to create new services for their digital customers: They know better who their customers are, what they want, where they are located, and how to serve them best. They know where the operational bottlenecks are and can deliver the right goods and services to right locations to create the best customer experience, maximize the sales and minimize the cost.
  3. Data Explosion – The amount of data businesses are collecting from their customers and business operations is increasing constantly. Data sets are large, and in constant change – the existing IT systems and processes do not facilitate innovation in the fast paced change many industries are undergoing.

With WhereOS, it’s extremely easy to built APIs and applications based on data: instead of months, new applications can be create in a matter of hours or days. This facilitates lean prototyping of how data can be used to create new value-adding services and products, helping both traditional and new businesses to speed up the development.

If you are interested in discussing more, please contact me through support@eaglepeaks.com

-JP

Data Logistics

WhereOS is the operating system for future hyperconnected world and data logistics. It enables business to gather data, turn it into valuable insights and deliver to right channels at the right time.

Businesses are getting more and more connected to online, cloud based information systems as a part of their business processes. Customers are accessing companies’ online services 24/7 through different interfaces: sensors, products and services. Customers are generating more and more information about their behavior – location, movement, social interactions, purchases and so forth – all tied to geographical locations.

Businesses, on the other hand, are still running on legacy systems, where data is collected in different silos.

With WhereOS it’s easy to collect data from any file formats, from any APIs and through any protocols, transform it into value adding data objects and models, and delivering it to the right channels (customer products, management systems such as ERP and CRM, developer APIs, internal reports, customer reports and so forth) at the right time.

If you are interested in discussing more, please contact us through support@eaglepeaks.com

-JP

Route Optimization

Route Optimization application calculates the most efficient route that goes through the specified set of waypoints. Route optimization can be used to calculate service routes, delivery routes, pick-up routes etc., that require all waypoints to be visited in the most efficient manner.

The most efficient route is defined calculated through R function, that takes the characteristics of the route and waypoints into account. The default weighting function is duration based, i.e. the optimal route is the one that finishes earliest, with two waypoint categories: critical and low. Critical waypoints are visited first, and low category waypoints last, in a manner that the shortest duration route is the final result. The R function can be modified to take into account different route characteristics, such as route distance, waypoint types, waypoint SLAs, time of day etc.

If you have ideas or questions – or you need help to use the application in your business domain, write to us support@eaglepeaks.com

Open the app: https://apps.whereos.com/a/Route_Optimization

-JP

Install Hello World Application

First, sign-in to your new WhereOS service. Next, open WhereOS Store page and search for “Hello World” in the Applications tab in the Store. Click Install and wait for the application to install. Go to Dashboard page, and click Hello World application icon to start the application.