Data Governance
From the Fundamentals to Real Cases
Chapter and Conference Paper
Organizations continuously generate and manage extensive amounts of data for specific purposes, such as making informed decisions or monitoring certain parameters
Chapter and Conference Paper
Data governance is an important activity for data-centric digital transformation. One of the main elements of data governance is a data maturity model. In this paper, we summarize the main existing data maturi...
Book
Chapter
One of the issues that organizations need to address when they intend to launch a data governance program is to know their level of maturity with respect to data governance, data management, and data quality m...
Chapter
Governing data in the health sector is of the utmost importance to warranty an adequate assistance to patients and as support for the healthcare management services. However, data governance of the health data...
Chapter and Conference Paper
Coding of medical data is a very important previous step for many activities in Health Care management, since it is the basis for several activities ranging from hospital reimbursement to clinical research
Article
Some countries have adopted the diagnosis-related groups (DRG) system to pay hospitals according to the number and complexity of patients they treat. Translating diseases and procedures into medical codes base...
Article
Master data management (MDM) can provide an integrated and unified view of key business entities to offer better support in business processes. Due to the very nature of master data-based applications, it is p...
Chapter and Conference Paper
Poor quality of coded clinical data in hospital administrative databases may negatively affect decision making, clinical and health care services research and billing. In this paper, we assessed the level of c...
Chapter and Conference Paper
Data Quality assessment is aimed at evaluating the suitability of a dataset for an intended task. The extensive literature on data quality describes the various methodologies for assessing data quality by mea...
Chapter and Conference Paper
Organizations are increasingly becoming aware that the better the data, the higher the benefits they can obtain from them. To maximize the benefits from data, it is highly recommended to institutionalize a set...
Chapter and Conference Paper
During the execution of business processes involving various organizations, Master Data is usually shared and exchanged. It is necessary to keep appropriate levels of quality in these Master Data, in order to...
Chapter and Conference Paper
Organizations are nowadays immersed in the Big Data Era. Beyond the hype of the concept of Big Data, it is true that something in the way of doing business is really changing. Although some challenges keep bei...
Article
The number of Web applications which are part of Business Intelligence (BI) applications has grown exponentially in recent years, as has their complexity. Consequently, the amount of data used by these applica...
Chapter and Conference Paper
BPMN is a notation for business process modeling through which it is possible to represent multiple characteristics of the analyzed business processes. However, although in a business process data play a funda...
Article
Article
Information and data of high quality are critical for successful business performance in general and Business Networking in particular. As the trend toward sharing information between business partners and val...
Chapter and Conference Paper
More and more companies and organizations currently consider that supporting the data in their Information Systems (IS) with an appropriate level of quality is a critical factor for making sound decisions. Thi...
Chapter and Conference Paper
Web Portals are increasingly being used for important tasks, at a work, personal or leisure related issues. Since Web Portals provide with applications, services and information, their levels of quality are an...
Chapter and Conference Paper
To succeed in their tasks, users need to manage data with the most adequate quality levels possible according to specific data quality models. Typically, data quality assessment consists of calculating a synth...