PCDW
Project Control Data Warehouse
Whats New:
ASA Blog
May 10, 2016
Blog Launch - Mining | Data | Cost | IoT
Emerging Trends in Mining Labor
May 12, 2016
85K U.S. Mine Sites with Employment Data - Commercial Edition Available Here
March 1, 2016
85K U.S. Mine Sites with Employment Data - Community Edition Available Here
February 28, 2014
Overview of Workforce Trends in US Aggregate and Industrial Minerals Industries - SME Annual Meeting
2013
Emerging Workforce Trends of the U.S. Energy and Mining Industries - National Academies Press
February 20, 2012
Emerging Workforce Trends in the U.S. Mining Industry - SME Annual Meeting
January 3, 2012
Emerging Workforce Trends in the U.S. Mining Industry - White Paper (Sponsors: SME, NMA, NSSGA, and IMA-NA)
August 23, 2011 and November 9, 2011
Emerging Workforce Trends in Mining - Presentation to the National Academies.
September 1, 2011
Newest site launch. Replaces our original site from 2008
Jobs:
Mining labor to be in short supply
August 26, 2011
Your
Future in mining....
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The Project Control Data Warehouse
Introduction
In March 2009, ASA simultaneously released an Open Data Warehouse Model (ODWM) and an instance of that model for project control (PCDW). This was a first time a commercial data warehouse was released using an ‘Open’ model. The ODWM and PCDW were released to solve a specific data warehouse problem and to generate revenue.
Making a data warehouse an ‘open’ product reduces a consumer’s initial construction cost and mitigates risk through rapid deployment. This approach allows data warehouse and other co-dependent technologies (Business Intelligence, Analytics, etc.) to be more attractive to a new and largely untouched midmarket.
This frontier opportunity has low barriers to entry which will make the proposition attractive to entrepreneurs interested in ‘owning’ an industry ‘slice’ (e.g. heath care - clinical records, small box retail – marketing, banking – loan evaluation, etc.).
Commercial ecologies designed to support
and enhance each of these industry slices offer additional new market
opportunities to developers. Availability of talent that can take advantage
of this perishable opportunity is high due to current market conditions and
will be very attractive to current technology providers who understand the
economic benefit of becoming technology owners. Said another way; this
approach could create a lot of new financial winners.
There are technical, social, and economic reasons that will move data warehousing and, perhaps all data models toward ‘open’ solutions. This move toward Open solutions will create new product and service markets and will have the effect of making data warehouse and business intelligence technology available to a broader audience.
Developers
There are a number of development opportunities presented by the
PCDW.
The PCDW Model
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