Analytics is only as good as the data that drives it. A majority of analytics projects are jeopardized due to poor data and poor access to the right data. This interesting topic came to us from Digital Insurance in their article, “Poor data access putting many analytics projects at risk.”
A recent survey of more than 1,000 U.S.-based IT decision makers found that 57 percent of organizations have suffered because of slow or poor access to the right data. That has resulted in an inability to access real-time analytics and inaccurate business intelligence (BI).
To be fully accessible, your data needs to be reachable; the infrastructure and software hosting it must run constantly. Highly accessible data is also high quality data that you can work with readily.
Data sets that contain inconsistent data, missing data, or redundant data are difficult to work with because they suffer from poor data quality. Even if you can access this data readily, your ability to put it to actual use is undercut by data quality issues.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
