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Write a 250-word response to the post below. The reply must make a recommendation of a peer reviewed journal article that provides additional information on the topic.

INSTRUCTIONS: Write a 250-word response to the post below. The reply must make a recommendation of a peer reviewed journal article that provides additional information on the topic. The response should not be a critique of the post but should strengthen and enhance the subject matter of the post.
In the response, provide a summary of the article in your own words and discuss why it is relevant to the topic. It must be different than articles referenced. Include an APA formatted citation at the bottom of the reply.
REPLY TO:
Digital disruption, or the process of seeing sweeping changes to business models due to digitizing, is impacting today’s businesses at a more rapid pace than traditional technology changes would (Weill & Woerner, 2015). Given the impact of this disruption, businesses are forced to either consider digitization as part of their ongoing business practices or in the creation of new business or face an increased risk that they fall behind competitors who have embraced this (Weill & Woerner, 2015).
Redefining the business model must be accomplished at all levels of management, as decisions need to be made with data-driven research versus the historical practice of making decisions based on intuition (Carillo et al., 2019). Big data, generally defined as huge in volume, high in velocity, diverse in variety, exhaustive in scope, fine-tuned in resolution, relational and flexible (Kitchin & Lauriault, 2015) can be expensive for businesses to acquire. Small data is normally more focused in scope, and while it can also be expensive for business to acquire, is often seen pooled, shared by academic or governmental organizations, or shared by industry-specific research organizations (Kitchin & Lauriault, 2015).
Hughes-Cromwick & Coronado (2019) researched the value of governmental issued data on businesses and ultimately concluded that the value of the data is difficult to measure, even though it is utilized by many US business sectors and industries. With the increasing demand on access to data, the value of governmental data is increasing due to a larger amount of data available and the ease of access to the data improving (Hughes-Cromwick & Coronado, 2019). Companies, themselves, are generating an increased amount of their own data, governmental data can often provide more detailed context for companies to maximize the impact and effectiveness of their investments (Hughes-Cromwick & Coronado, 2019).
The collection of data by the government is not always a popular topic in society, with researching showing the US citizens do not favor governmental big data collection and usage (LaBrie et al., 2018). The conflict between societal concerns and efficiency of governmental collection will continue, but governments are one of the few institutions that can manage very large programs. They generally have the monetary, personnel, and technical resources, to implement and complete big data projects (LaBrie et al., 2018). Governments are also technical experts at data collection, with most having begun data collection efforts many years ago.
Hughes-Cromwick & Coronado (2019) research the value of governmental data usage in three industries: Automotive, Energy and Financial. The findings in both short-term and long-term decision making support the conclusion that there is value in using governmental data. In the automotive industry the use of governmental data can be used to develop a short-term outlook that could impact production rates at assembly plants (Hughes-Cromwick & Coronado, 2019). The energy industry as a whole relies heavily on the Energy Information Administration, a Governmental entity, so the reliance of governmental-provided data and the value of it is built into the entire industry (Hughes-Cromwick & Coronado, 2019). An example of the use of governmental data within the energy industry would be market pricing impacts due to inflation or interest rate adjustments (Hughes-Cromwick & Coronado, 2019). And finally, the Securities and Exchange Commission (SEC) provides regulatory and other finance-related data that is used throughout the financial industry (Hughes-Cromwick & Coronado, 2019). Financial firms utilize governmental data to forecast industry conditions and adjust their offerings accordingly (Hughes-Cromwick & Coronado, 2019). The Securities and Exchange Commission regulates and collects data from businesses across the US. The purpose of the data collection may often be regulatory, but the data is publicly made available throughout the financial services industry allowing businesses to use this data for competitive and planning purposes (Pettinicchio, 2020).
As the value of US Governmental data continues to be explored, given the low-cost to collect and produce data by the government, there should continue to be a trend of increasing value being achieved (Hughes-Cromwick & Coronado, 2019).

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