What is a data swamp? Well, start with a data lake. It accepts any data, without oversight or governance. Without descriptive metadata and a mechanism to maintain it, the data lake risks turning into a data swamp. DATAVERSITY brought this interesting information to us in their article, “Avoiding Data Swamps with Big Data Governance.”
Analysts will still spend up to 80% of their time just trying to create the data set to draw insights, regardless of whether the most stringent big data governance practices are already in place. Organizations can focus on the data preparation process to achieve more expedient and reliable access to data.
Taking small, tactical steps will not only provide fast business value, but will also enable companies to avoid the pitfalls of both over- and under-reaching in their data governance strategies.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
