Data Management - A Critical Asset to State Government Operations

By Eric Sweden posted 28 days ago

  
Data Management and Analytics presented as #7 on the State CIO Top Ten Strategies, Management Processes and Solutions for 2017. Data Management presented as #6 and Business Intelligence and Business Analytics presented as #4 on the Top Ten Technologies, Applications and Tools for 2017. Data management continues to surface as a critical concern for state government and that is what prompted NASCIO to form the NASCIO Data Management Working Group. 
 
Whether it is an effort to kick start an open data initiative, researching big data capabilities, sharing information across agencies or jurisdictions, establishing a business intelligence competency center, evaluating cloud computing options, or government transformation efforts, managing information and data effectively is a necessary and critical capability for state governments.
 
NASCIO has made the case for data governance and the notion that information and data assets are state enterprise assets that must be properly valued, managed and protected. This idea is further supported by the DAMA Guide to the Data Management Body of Knowledge  which is now in its second version. 
 
Data and information are the lifeblood of the 21 
st century economy.  In the Information Age, data is recognized as a vital enterprise asset. [i]
 
The 2016 NASCIO Annual CIO Survey revealed that the overwhelming majority of CIOs consider data governance and management to be a key element of their strategic agendas and operational plans with 58 percent of CIOs placing data governance and management as a High Priority or Essential element in achieving their goals and objectives.
 
Emerging technologies such as the Internet of Things (IoT), Unmanned Aerial Systems (UAS), body worn cameras, sensors, and other big data generators have pushed data management to the forefront of government and industry. Proliferation of these technologies emphasis the issues related to data quality and reliability, data governance and data sharing. 
 
These circumstances have created new demand for operating discipline for managing andexploiting data to create meaningful information that can be used to evaluate current circumstances, predict new circumstances and inform decision makers. Without proactive data management approaches and discipline the state government data resource will continue to be characterized as inconsistent and unreliable. 
 
This will not only inhibit decision makers' confidence in the data but also citizens who are expecting and demanding reliable government data to be informed. Analytics and decision making based on government data naturally inherits the quality or the lack of quality in the underlying data. Government can only perform to level of the quality of the data that informs it.
 
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