Airing Out Your Analytics Data with a Status Board Lunch & Learn, 25 January 2012Dave Malicke Copyright © 2011 The Regents of the University of Michigan.

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Presentation transcript:

Airing Out Your Analytics Data with a Status Board Lunch & Learn, 25 January 2012Dave Malicke Copyright © 2011 The Regents of the University of Michigan Except where otherwise noted, this work is available under a Creative Commons Attribution 3.0 License.

Introduction dave malicke open.michigan

what is Open.Michigan?

open.umich.edu

Content open.umich.edu

Content open.umich.edu

Content open.umich.edu

Content everywhere! All logos

Promotion everywhere! open.umich.edu/blog

Promotion everywhere! twitter.com/open_michigan

Promotion everywhere!

Content on multiple sites Promotion on multiple sites Working on multiple projects

A whole bunch of data (not analytics)!

Definitions for analytics: 1.The branch of logic dealing with analysis. 2. The field of data analysis. Analytics often involves studying past historical data to research potential trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tool or scenario. The goal of analytics is to improve the business by gaining knowledge which can be used to make improvements or changes. 3. A simple definition of analytics is "the science of analysis". A practical definition, however, would be that analytics is the process of developing optimal or realistic decision recommendations based on insights derived through the application of statistical models and analysis against existing and/or simulated future data. Business managers may choose to make decisions based on past experiences or rules of thumb, or there might be other qualitative aspects to decision making; but unless there are data involved in the process, it would not be considered analytics

Definitions for data: 1.Individual facts, statistics, or items of information. 1.Data are often viewed as the lowest level of abstraction from which information and then knowledge are derived. 1.Information in raw or unorganized form (such as alphabets, numbers, or symbols) that refer to, or represent, conditions, ideas, or objects. Data is limitless and present everywhere in the universe

We’re interested in data that: Demonstrates impact/reuse of published OER Demonstrates the growth of Open.Michigan Demonstrates where our time and efforts are best spent

Examples of data: Google Analytics for open.umich.edu - visits - pageviews - downloads

Examples of data: Facebook insights - likes - weekly total reach - people talking about this

Data data data data data Open.Michigan Blog and Wiki Analytics SlideShare Analytics Twitter Blip Vimeo Internet Archive Number of published creators, courses, and materials on open.umich.edu.

And… All of this data is housed in different locations. So… In an effort to view all of this data in one location…

Status Boards! -Panic Status Board -Geckoboard

Status board research Their board displays: - Queue - Project Status - Important Countdowns - Revenue - Live Tri-Met Bus Arrivals - The Panic Calendar - Employee Twitter Messages Download knock-off:

Status board research Visit this link to view a live example:

Status board research Geckoboard - easy to use - good support - inexpensive

Our Geckoboard: View online: openmi.ch/-BOARD

Geckoboard intro: Introduction to Geckoboard: Adding a widget:

Our status board:

Geckoboard widgets: GetSatisfaction Highrise Zendesk Gmail Google Apps Mail Pingdom Foursquare RSS/Atom Feed Basecamp GitHub Jira FreshBooks Opportunity Twitter Google Analytics Chartbeat Many more..

GeckoFuel widgets:

Custom widgets:

Manual input All logos

Benefits of visibility:

Currently investigating: -new highcharts -how to gather, store, and retrieve more data -automation required to make this all possible -what is Geckoboard’s value add?

New highcharts:

Questions?