dataZoa for University Libraries

As Reported by the Wall Street Journal (May 7, 2013):

"On Twitter you can follow this or that person and with dataZoa you can follow numbers"
McKinsey: "Open data can help unlock $3 trillion to $5 trillion in economic value annually across seven sectors"
(Click through above link to read McKinsey article)

dataZoa for University Libraries:  Fulfilling the Promise of Open Data with over 3 billion data series

Mining the Open Data riches of the Web is an essential:

For the first time in history, everyone, from young students to the highest decision-makers, has access to the actual information by which businesses and governments, large and small, make their decisions and set their policies.

The promise of Open Data is that we can all independently consider, evaluate, and draw conclusions from the same data.

Before dataZoa, the actual practice of using this diverse data was time-consuming, messy and painful. A major portion of time was wasted on "data drudgery"; cleaning, aligning, pasting, re-typing and such. All before any real thought or analysis could begin.

datazoa's Mission is to Erase the Pain and Fulfill the Promise of Open Data

Some examples of dataZoa Supporting the University Library Mission:

Over 1,400,000 students, faculty and staff of US universities already have access to dataZoa.

dataZoa delivers:

  1. Marketable Skills
    (for instance...)
    - students deliver immediate, useful results to employers by using real-world data
    • Health Cost Analysis - Procedure, DRG and Diagnosis Data, with Costs and Outcomes stratified by Demographics
    • Site Selection for Factories, Call Centers and other facilities - Using OES data from BLS
    • Regional Comparisons - with economic data published at dataZoa University Data Centers
    • Market Sizing and Unit Placement - Zip Code level for Businesses; Census Tract level for Consumer Markets
    • Energy Purchasing - pricing, production and markets by energy source, from EIA and Non-US sources
    • Bank Acquisition Evaluation with FFIEC Data; every US Bank depicted in exquisite detail
    • Develop Emerging Market investment strategies - Global Central Bank data and National Stats Office data
    • Investment Analysis - Sec EDGAR Filings as time series, stock prices, currency rates
    • Real Estate and Construction Project Sizing - Zillow, Case-Schiller, Census Building Permits and more
    • Commodity Forecasting - Agriculture Price and Production Data from USDA, weather from NOAA
    • Resource Allocation for Education - National Center for Education Statistics
    • Intellectual Property - US Patent Office Data for US and non-US companies
    • Criminal Justice Monitoring - combining FBI UCR Crime Data, Census demographics, regional economic data
    • International Benchmarking - using sources like OECD, World Bank, UN Data, BIS, ECB, ASEAN Nations and more
  2. Innovative Possibilities - intermix Primary Sources of data seamlessly,
    (for instance...)
    • Bank of China credit rates + Port of Los Angeles container counts = 'International Policies with Local Impact'
    • USDA crop totals + NOAA weather trends + Bank of England currencies = 'Food Security, Climate, and Finance'
  3. Students and faculty spend time on data analysis rather than data drudgery
  4. Analysis stays relevant because data is always current (vs. stale case studies)
  5. Results can live in many places at once; course materials, term papers, websites, blogs, tablets, smartphones. Always synchronized, automatically.

dataZoa is:

Let's Look at Drag, Build and Share in more detail:

1. Drag: Gather Data from authoritative sources

Below is an image captured from the home page of the BLS (Bureau of Labor Statistics), showing dataZoa's unique, patent-pending browser add-on, the dZ-Dot™.

The dZ-Dot indicates that the data it sits next to are live, updating series. It permits anyone on campus to drag and drop these dynamically updating series into their dataZoa account.

Above and to the right are the top-level categories of the dataZoa Data Index.

To pull it all together, here are a couple of screenshots of Web data at home in a dataZoa account:

dataZoa workbench dataZoa chart, dataBlock, Tab

One more important point about gathering data: You can add your own private data to the mix. Your data series will work seamlessly with the public data you gather. This video shows you how uploading works.

2. Build: Unique Calculations and Displays...

Unique new data series with dataZoa’s Computecloud™

Below is a ComputeCloud example from the Reserve Bank of Australia, incorporating a 12-month lag calculation:

This two minute video shows the ComputeCloud in action.

Build Vivid, Embeddable Charts and Tables for Display

Below is an example highlighting some unique features of a dZ dataBlock™ display:

Examples of dataZoa displays on duty around the Web....

University of Nevada Las Vegas University of Arizona Massachusetts Treasury
Jamaica Statistical Institute Ball State CEBR Waco Texas Chamber of Commerce

There's much more to know about dataZoa displays:

3. Share: Present Your Work to Colleagues or the World at Large

You can share a variety of different elements in dataZoa:

Using a variety of techniques, as appropriate:

And when you combine these possibilities in practice:

Some examples:

Some sample projects:

Heart Attack Outcomes Related to Type of Insurance Strength of the Ruble and World Oil Prices
Lobbying Expenditures and the Supply of US Physicians A Job Search Analysis

Importantly, since dataZoa automatically updates, the data, calculations and displays reflect the real-time state of the world.

Getting dataZoa for your campus

How does a datazoa subscription work?

Leading Market Technologies, Inc., Company Information Links:
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