From Data Swamps to Knowledge Pools: A Simple Solution to Curating Science and E...
World Statistics Day was yesterday, but we’re celebrating all week long! This celebration means acknowledging the impact statistics has on our world. Who is your favorite statistician? Share with us who they are and why they top your favorites list.
From Data Swamps to Knowledge Pools: A Simple Solution to Curating Science and Engineering Knowledge (2020-EU-EPO-464)
Jan 30, 2020 8:02 AM
| Last Modified: Apr 8, 2020 6:35 AM
Bernard McKeown, JMP Client Manager, SAS
Industries like banking, online retail and marketing are data rich. They have genuine "Big Data": huge volumes of homogenous data that can readily answer important business questions. Their challenge is to scale their analytics.
Science and engineering, especially Research and Development, has a very different problem. The data is small in volume, because it is expensive to collect. It is difficult to aggregate it into a single source, because different projects bear little relationship to each other.
These "small data silos" present a different challenge: one of curating these knowledge pools to enable agility, speed and efficiency. By doing this companies can:
- Speed products to market by leveraging their existing knowledge, instead of wasting time and effort repeating what has already been done.
- Fix problems faster downstream, because process knowledge becomes readily accessible across functions.
- Reduce time wasted writing long reports that nobody reads or on a “Big IT Project” that nobody needs.
In this paper I will discuss how JMP Live can be used as a simple solution to curate knowledge into pools from experiments in a scientific or engineering organisation.