Case Study : Finding Quality Data

Precisely some of the characteristics are generally based on the main levels of quality assurance such as with accuracy, accessibility, comprehensiveness, consistency.

The purpose of this paper is to discuss the methods used by a local health care facility, Southwest General Hospital, to evaluate and monitor healthcare quality data. Quality measurement in health care is the process of using data to evaluate the performance of health care providers against recognized quality standards (FamiliesUSA, 2014). The measuring of quality plays a vital role in the creating, maintaining, and managing of the data that this healthcare facility aims in focusing on quality of health care.

While it is easy to decide that quality needs attention in emergency medicine the first question when reviewing something is of course, how? Tools and methods must be developed when investigating anything in order to collect information. The Centers for Medicare and Medicaid Services (CMS) describes quality measures as tools that help us measure or quantify healthcare processes, outcomes, patient perceptions, and organizational structure and/or systems associated with the ability to provide high-quality health care and/or that relate to one or more quality goals for health care (CMS, 2015). In order for quality measures to be used, however, how is that data collected? According to CMS

The smarter business intelligence provides market behaviour in new ways of analyzing customer’s behaviour much quicker than ever before.

The audience would be the data owners, data managers and IT personnel who would be responsible for the data quality (data administrator, operations manager or database admin).

Customer service is always important for companies to increase their sales and it can be divided into before and after sales. In general, understanding information about the product is the first step to know customer service information. So using big data to improve customer experience and business performance is particularly important at Walt Disney Studios. Today, as the entertainment market is becoming saturated, telecommunications service providers understand that winning customers requires positive customer experience. Customer experience and customer loyalty are closely related. In order to improve customer experience, the service provider must first be able to effectively measure the customer experience. Finally, they need to

What was the impact of data quality problems on the companies described in this case study? What management, organization, and technology factors caused these problems?

Jack E. Olson (2003) defined data quality as data that are linked to their fit for use. In other words, high data quality is obtained when the data fulfill the requirements and the criteria of its intended usage. In contrast, poor quality results when the data do not fulfil their requirements [44].

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

Design, code and deliver user friendly multi-tier business intelligence solutions that utilize data warehouse/data mining technologies to consume data across various database platforms and data stores.

Businesses using data is not a new concept; however, the role of data within industries has increased dramatically over the years to the point that it is essential for a business to understand how to handle data in order to continue operations. In today’s bustling digital age, professionals credit a certain type of data called “big data” with helping businesses gain insight on consumers. Big data is created whenever you travel to your favorite restaurant, make a particular move in a video game, swipe your card to purchase your favorite pair of Crocs, or tell your Facebook friends what you had for breakfast. It is data that is too large to be captured and processed by standard business

While BI has been a staple of IT infrastructure and database environments for decades, the rise of Big Data has created new requirements. The sheer volume of information requires specialized capabilities to just pull the data together. In addition, the speed of business no longer allows for the traditional IT-centric “gather

Big Data is an outgrowth of the proliferation of databases and massive data sets. The insights needed to more intelligently manage an organization can be found in the myriad of data sets that comprise a Big Data platform. The greatest challenge of Big Data is contextual intelligence supported by integration to legacy, 3rd party and homegrown application systems located throughout an enterprise (Jacobs, 2009). To get ot his level of proficiency in analyzing Big Data sets and databases, enterprises need Business Intelligence (BI) and analytics tools that can parse through terabytes quickly, finding patterns and analyzing massive amounts of data, then distilling it down to key

In the 2012 IBM CEO study, there are 73% of CEOs indicated that they were trying to work out useful consumer insights by making statistics with available data, and improve the operation’s capability to calculate a more accurate demand even if this action needs lots of investment (IBM 2012). As a mission-critical system, the CEO wishes that analytics programs can offer information at the fingertips of the teams that run the business. This study shows the importance about translating business strategy into actionable plans of achievement which can be achieved by creating a successful business analytics program.

Information that is sourced must be made sure that where it was sourced from is reliable, data that is collected from a primary source is often valid reliable and trustworthy. However if data is collected from a secondary source its validity is questioned, a secondary source must be checked that it is valid and up to date to make sure that there are no problems when