Question

Considering the plan to participate in data reporting as well as AHIMA’s Data Quality Model, provide at least 3 specific recommendations to improve data quality. 

Answer 1

In one of research done by IBM states that “The majority of data in the world has been generated over the last few years". As we have adopted the Internet of Things, we're now on track to beating any and all records of data generation year-on-year. But along with this one of the key concerns during this analysis is that of the data's quality. But, obtaining high-quality data is not an easy task. Lets look these 3 ways in which you can improve your data quality:

1.    Data Profiling

The first step in improving data quality is to examine your data defects through data profiling. Data profiling analyzes the correctness and uniqueness of data. It also checks whether the data is reusable by collecting appropriate statistics. Similarly, data mining tools are also used to assess data quality.

2.    Data Normalization

The second step is to normalize your data. Data normalization is crucial because data is collected from various sources and may include a variety of spelling options. It confuses CRMs as they see them as different data points. Thus, data standardization is essential to establishing a singular approach and to remove redundancy.

3.    Semantic Metadata Management

The third step is having a semantic metadata management process. As the number and variety of data sources grow, situations can occur when end users in different parts of an organization will misinterpret some of the data concepts and terms. Thus, centralizing the management of business-relevant metadata is required. This will help in establishing corporate standards and reduce inconsistent interpretations.