The purpose of this paper is to understand, identify and describe what constitutes data quality within businesses and how does data quality affect the everyday operations. This systematic review also addresses data quality and its impact on executive and managerial decision making. Researchers identified many components of data quality; however, it is difficult to find where researchers address elements, characteristics, and dimensions of data quality that impact the small to midsize companies.
The gathered information came from approved peer-reviewed scholarly studies that addressed data, data quality, businesses, decision making, and the impacts of each component on the business organization. High or good data quality plays a critical
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As companies ecosystem becomes more elusive, unpredictable and competitive the applicable handling of data and information, and the understanding of it has become a recognizable core competence of many business executives (Duan, Ong, Xu, & Mathews, 2012). Executives are constantly looking at new ways that allow for a continuous, proactive and self-adaptive path in amassing, synthesizing and interpreting information for business intelligence with a view to determining a course of action. Senior level executives are responsible for making decisions, for their decisions are critical and have thorough human, financial and organizational impact (Duan, Ong, Xu, & Mathews, 2012). One of the leading positions is that the quality of data affects decision-making within business organizations (Samitsch, 2015; Haug et al., 2013). According to Nwabud, Begg, and McRobbie (2014), leaders make decisions on all aspects of business data and often, decision-making depends on the availability of data regardless of the quality of the data. If the quality of the data is poor, then the decision making based on the data is more than likely to be incomplete. Madhikermi, Kubler, Robert, Buda, & Främling (2016), believed that the rapid growth of data within a business causes the leaders to depend on the transformed data (information), for the transformed data drives …show more content…
In the business climate today, business leaders want to gain insight into the company’s existing data and thus expect the discovered idea to assist in driving business growth, operational readiness, and improvement, and improve the bottom line.
Within the medical and healthcare sector data quality is an essential factor. The quality of data within the healthcare and pharmaceutical industry must be of high quality because of its subject matter. Examination of healthcare and medical industry data and its quality showed an industry that applied the necessary dimensions and standards needed to upkeep high data quality standards. Peer review papers on data quality within this sector provided information on all areas within the industry. However, especially to small and midsize company data quality information appears limited to
1. 1. Data scrubbing is which of the following? A. A process to reject data from the data warehouse and to create the necessary indexes B.
The real-world business situation that I will be addressing by collecting and analyzing a set of data is that of a Hospital, specifically that of the hospital staff and the patient safety interaction. I have chosen this specific business as it is my hope to utilize this degree to become a director at a local hospital. In Hospital’s there are so many aspects that one needs to look at. These aspects can be broken down into individual pieces of data that can be analyzed and provide a clear outlook of change.
In the article, “Should Tech Companies Pay Us for Our Data?” Andreas Weigend questions if companies should pay us for our data. Weigend’s purpose is to inform and explain to the audience that companies are making billions of dollars from using our data. He expresses that data is very valuable by telling us that companies treat data as an asset and data is often used for decision-making. Weigend uses stylistic techniques, establishes credibility, and provides an article that his audience can understand to create an effective and informative argument for the audience.
This allows them to make the most accurate decision that they could with the information
Mr. Smith referred to data collection is an indispensable tool to improving quality, but the method must be chosen wisely or the data could be fabricated (XXXX). The wrong method could allow employees to game the system by produce numbers without an actual change in culture. Poorly chosen measures could enable gaming where employees are incentivized to produce numbers without the intended changes in practice (2015). The perfect monitoring system does not exist, which is why organizations must incorporate the system accurately. The data collection system should be properly resourced in order to function at full capacity.
Next in Comcast's relative ranking of the pillars of being an analytical competitor is measuring the executive support of analytics. At present, there is no shortage of this within Comcast and will only grow as time goes on. A growing mantra of leadership at the company is to support your decisions with data and to only sell new ideas if they have the data to back them up. Often this translates to business intelligence teams working directly with senior management to prove or disprove hypothesis on processes or behaviors that lead to strategic decisions within the company. Upon seeing this benefit of having analytically driven decisions, the executive support to 'push down' the functionality of an analytics platform is often a key performance
When the Hospital Standardization Program established their initial set of minimum standards, one of the prescriptive measures required healthcare organizations to maintain medical records for patient treatment. The necessity of creating, and preserving a detailed account of a patient’s history, laboratory results, and treatment seems rudimentary today. The Hospital Standardization Program made significant advances in enforcing proper documentation. Building on that legacy, TJC strengthened standards involving appropriate medical documentation by including strict timelines for completion. For example, TJC mandates a patient’s History and Physical (H&P) report be completed within 24 hours of admission.
Business Intelligence at CKE Restaurants Nowadays, Business intelligence is becoming an essential tool for businesses to seek for strategic advantages; this is because it allows making more accurate and better decision based on current data, information and knowledge. According to Pearlson (2012), “Business intelligence is the set of technologies and practices used to analyze and understand data and to use it in making decisions about future action” (p. 345). This paper analyses case study 11-2 and provides an overview of knowledge management by answering three questions regarding CKE Restaurants’ (Hardee’s Restaurant parent company) decision to promote and distribute the Monster Thickburger based on insights derived from their business intelligence
I will summarize each outcome for the Nursing Informatics specialty. For the intent of this paper I will use outcome and competency interchangeably. The first outcome means the ability to gather healthcare information across the continuum of care; combine and utilize the information gathered to develop a process. Finally execution of that process to evaluate its ability to improve the quality of the healthcare environment. Healthcare managers are constantly assessing patients and collecting information.
Evaluation of the data defined will play an instrumental role in the process improvement written procedure, therefore enhancing operational
Many people in the company need access to data to help them do their job better. The main questions revolve around who needs what data, and who chooses what data gets to be shared. Looking at all the pieces, as well as the IT and information assets, the governance of the data belongs to a data owner (Khatri & Brown, 2010). The main questions to be answered must include who is the data owner? Who is responsible for data quality?
Data minimization: Companies and organisations can only collect the personal data they need and can't collect more than
Electronic health record (EHR) system transformed the health care system from a paper based industry to one that uses clinical information to provide higher quality of care to the patients by providers. Electronic medical records have many benefits in clinical, organizational and societal outcomes. Clinical outcomes includes improvements in the quality of care and reduction of medical errors. Organizational outcomes include, financial and operational performance as well as higher satisfaction among patients and clinicians. Societal outcomes include, conduct research and attain improved population health.
ADMS 2511. Management Information System Section Q Raqib Ibrahim Prof. M.Zia ul Haq 215251754 Case Assignment 1 Question A i) Data items: Example of Data in Lululemon case is sales over $1 billion. Data item is a set of description which gives information but does not convey a meaning. ii) Information: As stated above the sales resulted in over $1 billion but actually the 10 percent of those sales were from the Internet store.
Kahaner (1998) also defines competitive intelligence as a cycle process with four phases: planning and direction, data and information collection, analysis and dissemination of intelligence to those who will use it. This CI process model skips information capturing and storage and terms the information collection phase ‘data and information collection’ phase. Information consists of ordering data. Therefore, in information there is data; there is no need to use both terms together in the name of this phase.