One of the most obvious barriers to effective data is the assessment of the quality of data. By definition, data quality is most understood as “fitness to use,” to achieve the desired results. On the surface it sounds simple, but when you understand data quality and data quality tools, that can be a tall order! Data gathering occurs across such a wide spectrum in this technology-driven environment; the variety of usage of the data can create problems based upon those specific needs. When governments strive to tap into the power of data, they find that program and statistical agencies both benefit from the information gathered.
Statistical agencies seek data for reports, for an analysis that benefit stakeholders across the government spectrum. Their reporting can dramatically affect the direction of public policy and high-level decision making processes. Program-based agencies leverage data to develop and maintain programs or functions that directly affect the public. Even though these are two separate paths of data usage, the paths inherently cross and become intertwined at different points. Government agencies are understanding the power of leveraging data, and depend on data quality tools to ensure the effectiveness of their analysis gleaned from data. In their quest for data quality, they identified six dimensions of quality:
- Institution Environment
The data quality tools are used to help the data receiver and provider evaluate the quality of the data provided, and how they impact these six dimensions of quality.
Globally, we continue to gather, evaluate and implement data strategies that direct our decision-making processes. These most significantly impact the direction of our government policies and their responsibilities. There has never been a more crucial time to ensure data quality tools are of the highest caliber. Data Ladder can be the right partner, at the right time, to ensure your data quality tools are of the highest caliber. Go to Data Ladder to download a free trial of our software.