Hello Mr. H????????? Thank you for organizing the introductory conference call to discuss this exciting upcoming opportunity. I am intrigued by the idea of developing core community standards and best practices within our company. It was encouraging to learn that the focus of this initiative is not only on global data quality issues, but also regional concerns. I would be grateful for the opportunity to expand my knowledge in these areas while expanding my facility as an Analyst. My professional background surpasses the stated profile requirements, as I currently have more than two years of work experience with Rabo AgriFinance in the capacity of Financial Analyst at the Richland field office in Washington State. Data quality concerns and controls are something that I have had an interest in for several years, and I have encountered continuously in my professional career, as well as my work in graduate school. In my first job as a Loan Officer for Reliance Capital in India, one of my duties was database management for our region. During my tenure in this capacity, we transitioned from a paper-based workflow to an to e-filing system for all pertinent information. I then went on to further refine my understanding of data quality issues while researching genetically modified organisms during my graduate school research at the University of Idaho. …show more content…
My experience has taught me that it becomes even more crucial on accounts with an exposure of less than five million dollars, as well as those accounts with complex entity structures such as those with external constraints, like self-prepared financials and/or in-house
“I would like to thank everyone involved in this conference, and the organizers in particular, for inviting me to deliver this talk. I am very obviously an outsider and wish to come to this group to talk about something that is central to all work that you people are doing.”
In order to prevent both intentional and unintentional alteration, and destruction of information, any software application needs controls to ensure the reliability of data. Here are two specific controls per each one of the three data control categories, and how each control contributes to ensuring the data reliability in the format requested.
Freudenheim, M. (2010, December 13). Panel set to study safety of electronic patient data. The New York Times. Retrieved from Http://www.nytimes.com/2010/12/14/business/14records.html?_r=1&sq=healthcare informatics patient records&st=nyt&adxnnl=1&scp=1&adxnnlx=1299414338-50ipQCu8c0TGV6j+8bTQUA
Organization: Topical pattern. Audience analysis: The audiences are raging from 20-21, and are currently residential students at Liberty University. They are all from South Korea, but each has different backgrounds. Topic: Nursing can be used to show and share the love of God.
According to the conceptual framework, the potential users of financial statements are investors, creditors, suppliers, employees, customers, governments and agencies, and the general public (Financial Accounting Standards Board, 2006). The primary users are investors, creditors, and those who advise them. It goes on to define the criteria that make up each potential user, as well as, the limitations of financial reporting. The FASB explicitly states that financial reporting is “but one source of information needed by those who make investment, credit, and similar resource allocation decisions. Users also need to consider pertinent information from other sources, and be aware of the characteristics and limitations of the information in them” (Financial Accounting Standards Board, 2006). With this in mind, it is still particularly difficult to determine whom the financials should be catered towards and what level of prudence is necessary for quality judgment.
One of the biggest problems that affect everyone is data aggregation. The more the technology develop, the powerful and dangerous it gets. Today there are many companies that aggregate a lot of information about us. Those companies gathering our data from different sources, which create a detailed record about us. Since all services have been computerized whether it is handled directly or indirectly through computers, there is no way to hide your information. We used computers, because they are faster, better, and accurate more that any human being. It solved many problems; however, it created new ones. Data does not means anything if it stands alone, because it is only recoded facts and figure, yet when it organized and sorted, it become information. These transformed information. Data aggregation raises many questions such as, who is benefiting from data aggregation? What is the impact on us (the users)? In this paper I will discuses data aggregation and the ethics and legal issues that affect us.
In addition, quality is a fulfillment of our professional and spiritual obligations to our patients and ourselves. The bible speaks of this saying, “For the entire law is fulfilled in keeping this one command: “Love your neighbor as yourself”” (Gal 5:14, New International Version). Quality improvement in a healthcare setting fulfills this by ensuring patients are cared for, but also by ensuring we are careful stewards of the healthcare organizations we administer and managing them in a manner that continually improves for the benefits of ourselves and community. Using data driven quality improvement tools can assist administrators in fulfilling this
The four key processes in the data quality management model are analysis, warehousing, collection and application of data (AHIMA 2)
In healthcare there have many developments in record keeping and updating databases to be electronic however this has caused many conflicts to the system. It has brought issues such as privacy and confidentiality because the information is easier assessable to professionals within the NHS which causes benefit and dangers if the information is not protected. In essence it causes people to take legal action when their right has been breached with the UK law. This includes the Common Law of Confidentiality, the Data Protection Act 1998 and the Human Rights Act 1998.
This principle is readily practiced in the area of finance and is becoming more popular within the Information Technology field. For example, within the area of finance, the Department of General Services of California has a section within its State Administrative Manual that quotes the requirements of the Financial Integrity and State Manager’s Accountability Act of
On 2/5/18 I met Ms. McClellan at the Stonegate facility. She resides in an assistive living facility. She continues to participate in occupational and physical therapy. She is working on upper body strength and also left leg strength. She wants to be prepared to use a walker when she is cleared to start weight bearing on the right leg. She is still wearing a full leg brace. She reports she can feel bones moving still. I will meet her at the next orthopedic appointment. I will address the use of a bone stimulator if there continues to not be bone healing.
I am applying to your Masters of Natural Resources Stewardship online program for the fall of 2017. Last summer I graduated California State University of San Bernardino, earning an undergraduate degree in Environmental Studies. Before I attended the university I started my education at Victor Valley College where I earned a double associate degree in Science and Environmental Horticulture. During my time at both schools I was chosen to enter honor programs. I graduated with Phi Theta Kappa honors at a junior college level and Gamma Theta Upsilon national geography honors at the university level.
Inconsistently storing organization data creates a lot of issues, a poor database design can cause security, integrity and normalization related issues. Majority of these issues are due to redundancy and weak data integrity and irregular storage, it is an ongoing challenge for every organization and it is important for organization and DBA to build logical, conceptual and efficient design for database. In today’s complex database systems Normalization, Data Integrity and security plays a key role. Normalization as design approach helps to minimize data redundancy and optimizes data structure by systematically and properly placing data in to appropriate groupings, a successful normalize designed follows “First Normalization Flow”, “Second Normalization Flow” and “Third Normalization flow”. Data integrity helps to increase accuracy and consistency of data over its entire life cycle, it also help keep track of database objects and ensure that each object is created, formatted and maintained properly. It is critical aspect of database design which involves “Database Structure Integrity” and “Semantic data Integrity”. Database Security is another high priority and critical issue for every organization, data breaches continue to dominate business and IT, building a secure system is as much important like Normalization and Data Integrity. Secure system helps to protect data from unauthorized users, data masking and data encryption are preferred technology used by DBA to protect data.
Data privacy issues arise in wide range of areas such as healthcare records, financial information, regarding genetic material in biology, geographical records, criminal justice and investigations and also in the use of
I represent your typical well-rounded cultural anthropologist who has experience in financial sales and management. I can contribute computer, ethnographic, and financial expertise.