open data essay According to Zuiderwijk & Janssen (2014), open data refers to any verbal or written information that can be used by the public without obeying regulations provided by the copyright or any regulatory authority in the field of data manipulation. This means that any individual desiring to use such information is open to access with no legal punishment served. In our contemporary society, information handling, and generation through the use of the new advancing technology have helped in improving the livelihoods of individuals worldwide. Data can reach millions of people rapidly evident through the use of technology. Information dissemination helps a lot in influencing people to foster growth in society; thus, the successful advancements of organizations and individual growth. An open data foundation is desired to assimilate disaster awareness and management issues worldwide through monitoring and analyzing data to be recorded in government statutory and discovering opportunities evident from the gaps present. Upon proper utilization, open data can positively impact the lives of individuals globally. Legal authorities and those in power should promote transparency when handling laws and…

data transformation According to Kirk (2016), there are four group actions which are, data acquisition, data examination, data transformation, and data exploration. In this discussion, I would choose data transformation to elaborate on. With the great quality of information floating on these days, it is essential to channelize the information suitably to make it more interpretable and meaningful. A good example that can elaborate on the value of data transformation would be: if you had this dataset, and wanted to clover this data over the phone to somebody, imagine how hard it will be? With this after data transformation, aggregating nations by size and courses by fields. Some of the actions that are undertaken in the data transformation and how they are essential are discussed as follows. The first action in data transformation is cleansing the data. This includes discarding all the entries with null figures, or at least fill them up with average data. The second action of data transformation is conforming data to the target format. On this, it happens when the data required is in DD-MM-YYYY form…

METHODOLOGY FOR BPI DATA SUPPORT The purpose of the study will be Implementation of the Business Process for Impact BPI model in enhancing service delivery, which will lead to the attainment of universal health care in Kiambu/ Nairobi. Human-Centered Design approach will be used in this model. It will be focusing on the communities of practice and data visibility across the given levels of models. The model will involve high-level engagements specifically at national and county levels. Further, identification and networking of the community of practice the promotion of human-centered design and improved data design. The study has various objectives, which include; Harnessing communities of practice (CP), Customizing data to each CP for more effective collection, use, and performance (“data diamond”) and utilizing human-centered design to catalyze engagement of CPs and enhance innovation (the “glue”). Besides, monitoring and evaluation involve quantitative measures on the assessment of model performance at different levels. Familiarize me with the need and importance of the survey, the requirements, target respondents, and the approach to be used. Also, get to know the structure of the NACC…

A virtual data room A virtual data room is an online library used to store and distribute information. The administrator of the data rooms is required to organize, share, and track the movement of each document when necessary. VRDs are used in the execution of complex projects. Such projects are implemented by a prominent team that requires specific information to ease the implementation process. The VRDs administrator shares and distributes information to various teams and, at the same time, ensure that confidential information does not fall on third party hands. In today’s business setting, VRDs are used to share sensitive information such as financial documentation, case files for litigation, and intellectual property, among others. On the other hand, the administrators of the system can view who accessed a particular document, and when he did it. Besides offering high-end security to data, this system is beneficial in making crucial business decisions. Why Do You Need VRD? The key benefit of this system is state of the art security to confidential information. You will have peace of mind knowing that unauthorized people…

data levels of measurements for quantitative data Quantitative data is defined as the value of data that is identified numerically in numbers and counts where every data-set is recognized to have a unique numerical value that is in association (Abulela and Harwell, 2020). Quantitative data can be quantifiable, and the information is primarily used for statistical analysis to make real-life decisions based on developed mathematical derivation. Some of the popular questions that are answered by the use of quantitative data re how often? How many? How much? Qualitative data is primarily collected by the use of questionnaires, surveys, and polls on an identified population. There are four data levels of measurements for quantitative data. Researchers pick on their preferred level of measurement for the data based on the available data for analysis. The nominal level of measurement is the first level of measurement on quantitative data. In this level of measures, researchers are allowed to use letter words and alpha-numeric symbols to undertake the analysis (Vinik et al., 2016). In this level of measurements, values that are often identified are…

Hi-Tech Data Sales Teams Reorganization and Client’s Alignment Advancement in information technology has enhanced p in companies, whether small or large. Firms that provide IT services, including data infrastructures, have opportunities to sell their products SMBs as well as large organizations. Sales and marketing strategies determine the effectiveness of the services provider in meeting clients’ needs. Particularly sales require effective management to realize increment in volume as well as revenue. Hi-Tech Data requires to address issues that affect the sales volume. It is also essential to consider the services and products that the company sells, which include data equipment, call center management, data warehousing, and cloud-based storage. These products and services can be aligned to sales processes and objectives to increase revenue as well as the retention of diverse clients (Zeisig). The strategic goals inform the management regarding the focus areas.  In this regard, the organization determines the type, nature, or size of the target clients. Sales processes aid representatives in achieving their sales targets. While there is a need for relevant information concerning sales processes and outcomes, metrics to…

Overview of Project Data Collection and Analysis Data Collection             This process will be conducted by giving questionnaires pre and post-education. The twenty participants (25-49 males and females) will attend training programs on prevalence, management, and treatment of scabies among the elderly individuals in the area. These questionnaires will be sent to the nurses via electronic mail. These questionnaires will be administered individually and will be composed based on the objective; that is, each element of the questionnaire should be found on the study’s aim. The questionnaires will be semi-structured (open-ended and close-ended questions). The focus of the closed-ended questionnaires will be to access specific factors without taking into consideration the opinion of the participant (“EXAMINING DATA COLLECTION,” 2015). The open-ended questionnaires will be complementing the close-ended questionnaires via facilitating the participants to expand their claims. The open-ended questionnaires, therefore, will act support for the issues stated by the researcher. Moreover, they will provide any information left out by close-ended questionnaires. The time frame for data collection will be two weeks, one week for training, and then the other for…

Data, Information and Knowledge Businesses are becoming competitive in recent times. For any business to remain on the toss, it must have an innovative idea or understand the current market strategies. In that spirit, the concept of knowledge management is being used widely today. Knowledge management is the process of identifying, analyzing and distributing knowledge in institutions. Knowledge is possessed by the members of the organization. Hence, the organization should have a model of ensuring that knowledge is passed from one person to another in the organization (Pearlson, Saunders, & Galletta, 2016). Three terms have become popular in the field of knowledge management. These words are data, information and knowledge. Many people use the three times interchangeably despite them being different (Pearlson, Saunders, & Galletta, 2016). This paper will differential the two terms and discuss what comes after knowledge in the continuum of knowledge management. Data Data is gathered from unstructured certainties and subtleties. Data is as characters, images, numbers, figures, content or necessarily drawn or jotted figures with no specific arrangement. Data expect to handle to make its utilization…

Data Collection and Summary Overview The initial step of data collection will be to ask for permission from the institution’s administration. A memo about the research project opportunity will be circulated to all the nursing personnel afterward. All the parties will be given a chance to submit their application within a week. After that, the nurses will assemble in a local community hall. The attendants will be assessed on scabies’ experience. The qualified attendants will be grouped into two, the control group and the study group. Consent slip will be given to participants for filling and then will be given a specific identification index. The questionnaires will be pre and post-education. According to Etikan, Musa, & Alkassim (2016), the reliability and validity of the questionnaires provided to the respondents are an essential aspect of concern. On that note, the questions will be based on the highlighted gaps in research. Additionally, the questions will be structured professionally to ensure that the subjects provide adequate and pertinent data in a bid to fulfill the primary purpose of the entire study process. This…

Application of data to problem-solving Medicine industry is one of the beneficiaries in the evolvement of Big data which have changed how health institution manage, analyze, and collect data useful in decision making. Mainly, analyzed data in the medical field help in solving management issues, reducing the cost of treatment, predicting epidemics, combating preventable diseases, reduce the workload as well as improving the quality of life. Notably, data collected and stored in the health system facilitate a review of patients personalize treatments, improve treatment methods, enhances better communication between medics, and reduce discharge time. Importantly, health data analytics will assist the doctors to detect early sign of an illness which will be easily treated and less costly. Therefore, there is a need for health institutions to enroll individuals with personal electronic health records (EHR), which will facilitate the collection and storage of patients’ health information from different sources. Treatment models enhanced by data and improved technologies simplify the collection of data used in providing insight in offering better health care to patients. Notably, data collected can be either quantitative, that…