...framework to implement Data Cleaning in Enterprise Data Warehouse for Robust Data Quality Kamran Ali Mubeen Ahmed Warraich Department of Computer Sciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan. kamranali100@hotmail.com Department of Computer Sciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan. mubeen_warraich@yahoo.com Abstract— every day, every hour, every minute, every second trillion of bytes of data is being generated by enterprises especially in telecom sector. To achieve level best decisions for business profits, access to that data in a well-situated and interactive way is always a dream of business executives and managers. Data warehouse is the only viable solution that can bring that dream into a reality. The enhancement of future endeavors to make decisions depends on the availability of correct information that based on quality of data underlying. The quality data can only be produced by cleaning data prior to loading into data warehouse. So correctness of data is essential for well-informed and reliable decision making. The framework proposed in this paper implements robust data quality to ensure consistent and correct loading of data into data warehouse that necessary to disciplined, accurate and reliable data analysis, data mining and knowledge discovery. Significant amounts of time and money are consequently spent on data cleaning, the task...
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...Quality Data Collection HCS/588 February 13, 2012 Pam Crocker Quality Data Collection Quality is considered a vague concept that can be subjective and unscientific. However, quality can become a definitive concept by collecting and analyzing data. Centers for Medicare and Medicaid Services (CMS) evidence based measures defines quality of care. For example, administering aspirin for acute myocardial infarction patients, making sure that pneumonia patients receive antibiotics in a timely manner, and ensuring smoking cessation programs while hospitalized and at discharge. Senior leadership is responsible for defining quality for the organization. When the leadership team is familiar with using quality measures, the health care team can do the right thing for the customer and increase financial responsibility for the hospital (Dlugacz, 2006). In this paper the subject to explore is potential improvement for the BayCare organization, the data needed to monitor improvement, data collection tools, and two tools that measure and display the quality improvement data. Potential Areas of Improvement Three areas of potential improvement for the BayCare organization are falls, hand hygiene, and improving team member satisfaction. Although the team goals for each of these are within the goal target, areas for improvement still exist. Monitoring Improvement Monitoring improvement for each potential area requires collecting specific data collection. Hand hygiene requires quality...
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...Research of improve the data quality Abstract Data Warehouse is a data collection which is subject-oriented, integrated, relativelyand relatively stable. and It can reflect the changes of history and support the management decision. It is an important segment to maintain the accuracy of the data warehouse. However, ETL is an important part to build data warehouse and occupy about 60 percent of the load. The improvement of the quality in the data warehouse helps to guarantee the reliability and also help the enterprise to summarize and use the data for a long period of time. There are many methods to improve the quality of data. However, in the view of the experience summary and practice accumulation in the practical application, the paper mainly focuses on the ETL dispatcher and way of check to improve data quality of data warehouse. First of all, the automation of data management which is realized by ETL principle make the data into a data stream., the database where the data exists become as starting point of ETL, saving the data warehouse with ultimate high-quality data as the end of ETL. Second, for the data which the ETL data flow has been formed to generate example, for the data which complete ETL processes structure to handling historical information, thus ensuring that the ETL flow can monitoring. Third, building the processing logic of ETL tectonic processes, is the core of constructing high-quality data, constructing the automated calibration procedures...
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...Quality Data Collection Grace C. Turne HCS/588 March 26, 2012 Ismael Caicedo Quality Data Collection Quality data collection plays an integral part in quality improvement. In order to measure performance, quality data must be gathered by the use of data collection tools that must be implemented. Nurses Just for Kids a pediatric specific home care agency specializing in the care of medically fragile children must develop a QI plan that best suits them by choosing data collection tools that based on potential improvement areas that they plan to tackle. The paper will discuss potential improvements, data needed to monitor for improvement in performance areas, data collection tools used, comparing and contrasting the tools and measurements as well as its importance in healthcare. Potential Areas for Improvement for Nurses Just for Kids There are many different areas that have the potential for improvement for Nurse Just for Kids but only two areas have been in need of quality improvement efforts the most. The two areas are back injuries and ventilator associated pneumonia. Two of the five clients that are being serviced from the home care agency has seen an increase in back injuries that are seen from their employees. The second area in need of improvement is in the area of ventilator associated pneumonia which there has been two pediatric clients with hospitalization due to pneumonia in the same month in 2011. This is a significant amount considering how small...
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...QUALITY DATA COLLECTION Anny streat HCS/588 August 14th, 2013 Quality Data Collection Quality data must be identified to improve organizational quality and respond to stakeholders needs. Quality should be collected, analyzed and used to develop and implement performance improvement. Many data sources and collection can be listed. In this paper, three data collection tools will be identified. Before then, because the main outcome of data collection is to measure and monitor the improvement of performance, three areas of improvement of the organization will be discussed. Furthermore, tools that measure and display the QI data will be selected and compared. Quality data focuses on four areas of improvement: clinical quality, financial performance, functional statues and patient satisfaction. Atlanta medical center (our chosen organization) had a good quality score of 99.3% in the CMS (center of Medicaid and Medicare service) core measures declared Bill Moore (2011). Nevertheless, three areas of improvement will be examined. The first area is patient safety. Kohn Corrigan (2000) states “Many as 98,000 people die every year in hospitals as results of injuries from their care”. For that reason, organization should comply with CMS core measures, the national patient safety goals initiative of the joint commission on accreditation...
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...Part 1 Quality Data, a) 75% of hospital patients would recommend the hospital, 67% Maryland average, and 71% national average. b) The rate of readmission for Pneumonia patients is not available for the hospital or the national rate due to data suppressed for one or more quarters by CMS. c) 9.4% of patients at P.R.M.C had a follow-up mammogram, within 45 days, compared to the Maryland average of 9.5% and national average of 8.8%. Peninsula Regional Medical Center in Salisbury, Maryland is above the Maryland and National averages when it comes to recommending the hospital to other people. This hospital rated at average of above average on all questions pertaining to the patients stay, such as level of noise, cleanliness, and information received. The hospital rates all reflect a high level of personal care and attention. The hospital should continue to be heavily patient focused. The rate of follow up mammograms indicates a low-level of cancer missed and a low rate of unnecessary testing. There is no data for readmission with Pneumonia because the “Centers for Medicare and Medicaid Services are not reporting five admission measures and one complication measure due to an issue with categorization of hospitals as better, worse and no different than the national average.” (www.ahanews.com July 9,2013). Since Peninsula rates so highly on patient satisfaction with staff interactions it is important for the hospital to maintain satisfied employees and high morale within their staff...
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...Healthcare organization use data collection and reporting for a variety of areas and reason. One main reason is statistics for several department/areas. This information is used to increase quality of care, to determine if there is an increase in a specific health diagnosis, as well as hospital census, which will help to determine the level of staff needed to provide that quality of care. The government also needs to maintain statistics on the population in order to provide services. HIM professionals compute most of the data collected for healthcare facilities. They will often be asked to produce an almost limitless number of rates from data collection. All organizations concerned with healthcare collect and use statistics. • Hospitals – use data information for staffing issues and to determine the types of services provided with regards to bed counts. • Cancer Registries – use data information to calculate diagnosis, treatment, and follow-up of cancer patients. • Nursing Facilities – use data information to determine type of payers their patients have. • Home Health Organizations – use data information to determine the types of services used by their patients. • Hospices- use data information to determine the type of illness being treated to pare up with the appropriate caregiver. • Mental Health Facilities – use data information to determine if they are providing the proper services for the community. • Drug and Alcohol Facilities – use data information to show the...
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...entry of patient data and summarizes nursing research regarding data integrity. The case study examines the impact of consequences of the use of Electronic Health Record (EHR) systems on the quality of care and proposed solutions to address accidental EHR-related mistakes. In this case study every diagnostic procedure was done correctly and promptly for patient`s well-being, while poor and improper entry of the patient’s data led to jeopardizing the integrity of information, and further endangering patient safety or decreasing quality of patient care. One of the methods to ensure data accuracy is to ask the patient to verify data that is collected during admission and assessment processes. This verification may be accomplished through: verbal confirmation, reviewing data by patient on selected computer screen or tablet, and reviewing printouts by client of entered data. Each of these methods has possible problems. Patient may not be English proficient, the atmosphere in the emergency room may be too fast paced for the patient to be able to accurately review the data or patient may have verbal or vision weakness. Usually, electronic health records data entry result in faults due to software design flaws, poor decision support rules, inadequate user training, system performance issues, human error, interruptions by colleagues while submitting patient data, or use of the system in ways not intended by the system developer. Manual review and improving wrong data entry could be...
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...used the Oracle Enterprise Data Quality Management suite to create a single, accurate, complete record of each client in just one month. As a result, the accuracy of its customer and corporate data has improved to nearly 100 percent, and BSI can refresh information four times faster. The project began with a simple need: BSI wanted to optimize customer insight by creating master customer records that captured each client’s profile, purchasing history, business relationships, and other attributes in a single view. The goal was to eliminate inaccurate, incomplete, nonstandard, multiformat, and duplicate customer and transactional data from the customer database, which was growing 3 percent to 4 percent each year. Senior officers knew that having complete and accurate data would improve the organization’s ability to segment customers, increase marketing effectiveness, boost sales per customer, and reduce churn. In addition, by standardizing names, dates, and values in corporate and customer records, BSI could improve the performance and productivity of its marketing, sales, and operations teams, improving the match between customer needs and BSI services. The need for standardization also extended to the publications, training documents, tools, and services that BSI sells online. They needed to ensure consistent coding, description, and pricing formats in their electronic catalogue. Always conscious of costs, BSI wanted to complete this master data management project using its...
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...dog Research 10 Gigabit Ethernet Virtual Data Center Architectures Sponsored by: DELL, INC. The combination of a consolidated data center with a virtualized 10GbE data center can offer your company numerous benefits, including increased adaptability, improved business continuance, and reduced space requirements. Download 10 Tips For Overcoming IT Certification Struggles Sponsored by: SKILLSOFT This resource examines the challenges and benefits of IT certification and includes tips for improving pass rates. Download 10 tips: How to handle 2013 IT challenges Sponsored by: PROJECTPLACE In this resource, CIOs and other IT leaders will find 10 useful tips for how to handle some of 2013's biggest IT challenges, including security issues, consumerization of IT, transparency and collaboration demands from stakeholders, general cost cuts, and mutiple options for cloud-based services. Download 13 Infrastructure Decisions That Result In Poor IT Security Sponsored by: GLOBAL KNOWLEDGE This white paper presents 13 somewhat common infrastructure decisions that can result in poor IT security. It is possible that your organization can improve its security in one or more of these areas. Take the time to assess your current security policy in each of these areas to see if there is room for refinement or improvement. Download 2012 Gartner Magic Quadrant Report Sponsored by: RIVERBED TECHNOLOGY, INC. Riverbed is positioned in the Leaders Quadrant of the 2012 Gartner Magic Quadrant...
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...fundamental principle unpinning businesses is to make profit – NOT to provide quality products/services. Quality however, may be a requirement, as it is in aviation, or it may be a company’s strategy in finding a unique and valuable market position which then generates market share and profit, or it can save costs and increase gross profits independently of gross revenue. However, quality comes at a cost, the cost of implementing quality. These costs can include giving training, performing both internal and external audits, upgrading and calibrating equipment and paying for new specialised staff such as Quality Managers. However, as investment into quality increases, the savings/benefits decrease. For this reason, companies need to monitor and understand their cost of quality, to understand the costs of quality against the benefits generated by increased quality, whether this is through savings or broader corporate strategy. This is the approach of a Prevention, Failure and Appraisal Programme. However, it is worth noting that this approach is not suitable in all industries (such as aviation where safety is more important than costs)…and always taken in Japan, where zero defects are generally aimed for – and clearly businesses can still be profitable – adopted by organisations including General Electric, Rolls-Royce Limited, and the United States Army during its heyday (Harwood, 1993). Additionally, not all quality changes are created equally. For example upgrade of equipment, training...
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...focus on market niche C) product differentiation D) customer and supplier intimacy 4) Information systems A) pose traditional ethical situations in new manners. B) raise ethical questions primarily related to information rights and obligations. C) raise the same ethical questions created by the industrial revolution. D) raise new ethical questions. 5) Place the following eras of IT infrastructure evolution in order, from earliest to most recent: (1) Cloud Computing Era (2) Client/Server, (3) Enterprise Era, (4) Personal Computer, and (5) Mainframe and Minicomputer. A) 5, 4, 2, 1, 3 B) 4, 5, 3, 2, 1 C) 4, 5, 2, 3, 1 D) 5, 4, 2, 3, 1 6) A DBMS reduces data redundancy and inconsistency by A) enforcing referential integrity. B) minimizing isolated files with repeated data. C) utilizing a data dictionary. D) uncoupling program and data. 7) The Internet is based on which three key technologies? A) Client/server computing, packet switching, and the development of communications standards for linking networks and computers B) TCP/IP, HTML, and HTTP C) TCP/IP, HTTP, and...
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...oil – called FLUCOR 405e) with thirty percent of concentration and seventy percent of water. There was no follow up for all costs involved and performance in the operation that could ensure that the usage of the new oil was advantageous for the company. (4) The facilitators were EHS department (Environment Health and Safety), Lubrication department, and Manufacturing department. As internal clients two areas of the company were considered the main departments with possible benefits, Manufacturing and Management tools. (5) Manager EHS Department Quality Engineerig Process Engineering Accounting / Cost Environment Safety Roughness Approval Capability Operator Process Tool Acquisition Maintenance Effluent treatment Reuse Fire Leaking Handly Storage PPE Satisfaction Setup Machining conditions Production rate Part / grind Adaptation Preventive Consumption Manager EHS Department Quality Engineerig Process...
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... Making Customers Feel Six Sigma Quality Globalization and instant access to information, products and services have changed the way our customers conduct business — old business models no longer work. Today’s competitive environment leaves no room for error. We must delight our customers and relentlessly look for new ways to exceed their expectations. This is why Six Sigma Quality has become a part of our culture. What is Six Sigma? First, what it is not. It is not a secret society, a slogan or a cliché. Six Sigma is a highly disciplined process that helps us focus on developing and delivering near-perfect products and services. Why ”Sigma“? The word is a statistical term that measures how far a given process deviates from perfection. The central idea behind Six Sigma is that if you can measure how many “defects” you have in a process, you can systematically figure out how to eliminate them and get as close to “zero defects” as possible. Six Sigma has changed the DNA of GE — it is now the way we work — in everything we do and in every product we design. GE’s Evolution Towards Quality GE began moving towards a focus on quality in the late ‘80s. Work-Out®, the start of our journey, opened our culture to ideas from everyone, everywhere, decimated the bureaucracy and made boundaryless behavior a reflexive, natural part of our culture, thereby creating the learning environment that led to Six Sigma. Now, Six Sigma, in turn, is embedding quality thinking — process thinking — across...
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... Making Customers Feel Six Sigma Quality Globalization and instant access to information, products and services have changed the way our customers conduct business — old business models no longer work. Today’s competitive environment leaves no room for error. We must delight our customers and relentlessly look for new ways to exceed their expectations. This is why Six Sigma Quality has become a part of our culture. What is Six Sigma? First, what it is not. It is not a secret society, a slogan or a cliché. Six Sigma is a highly disciplined process that helps us focus on developing and delivering near-perfect products and services. Why ”Sigma“? The word is a statistical term that measures how far a given process deviates from perfection. The central idea behind Six Sigma is that if you can measure how many “defects” you have in a process, you can systematically figure out how to eliminate them and get as close to “zero defects” as possible. Six Sigma has changed the DNA of GE — it is now the way we work — in everything we do and in every product we design. GE’s Evolution Towards Quality GE began moving towards a focus on quality in the late ‘80s. Work-Out®, the start of our journey, opened our culture to ideas from everyone, everywhere, decimated the bureaucracy and made boundaryless behavior a reflexive, natural part of our culture, thereby creating the learning environment that led to Six Sigma. Now, Six Sigma, in turn, is embedding quality thinking — process thinking — across...
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