Knowledge Management for Environmental Resources
We don't want to completely overwhelm you, but did you know that Knowledge Management isn't just applicable to the Oil and Gas industry?
We have spoken about this a good deal in past posts when discussing the value of knowing where your enterprise data lives as well as its quality of life, using examples as they pertain to this particular sector. In truth, Knowledge Management is industry agnostic. Possessing this information is necessary in every corporation, from small shop to big wigs. The more data you manage? The more important it becomes.
One aspect we haven't talked about yet in regards to its relevancy is that of the Environmental Resources sector. As industries like solar and wind continue to boom, so too do the amounts of data that propel them forward. Recently, our office presented at the Newleef Green Economy Conference in St. John's, Newfoundland on just the subject.
Newfoundland and Labrador's economy is driven by its energy industries. From Offshore Oil and Gas to wind farms, the region is home to many knowledge intensive businesses involved in EA and EEM Programs for Offshore Oil and Gas, Vegetation Management Programs for Transmission maintenance, Offshire wind farm evaluation and planning, and more. Each of which necessitates the collection and management of large-scale environmental datasets and Knowledge Management processes in support of environmental monitoring and awareness, regulatory compliance, and conservation programs.
Compounding the problem is our easy access to robust technology. The amount of data collected and generated is growing exponentially thanks to sensor-based technology like drones and satellites, the processing power of computers and mobile devices, and our own sheer will to find new solutions to age old (and day old) problems. There is a reason Big Data has been the talk of the town the last few years, and it's because of innovations like these.
In light of all of this new and notable Environmental data we are collecting, how does Knowledge Management come into play?
Knowledge Management means having a good overhead view of all of your GIS assets - not just the raw data. It asks where are your organization's map and layers? What's in them and who owns them? It helps you determine the answers to questions like how many duplicate datasets are on the system and how many are actually being used? It encourages you to plunge headlong into how this relates to your company as a whole and the practices it keeps. Are people actually sticking to corporate standards for symbology and transformations? Is it time to reassess these standards in favor of rules that reflect the current culture?
Fortunately, Knowledge Management solutions have your back when it comes to approaching these concepts. Unfortunately, they require you to actually put this system in place before you begin shouting questions like it is a Magic 8 Ball. This is where we can help.
Over the next several weeks, we will be exploring a few points that are key in developing a good Knowledge Management system. There may be situations where there is more than meets the eye, but these aspects offer a healthy starting point for getting that Magic 8 Ball moving.
- Week 1 - With proper Knowledge Management comes knowing where spatial does and does not live. Find out more about Data Discovery practices here.
- Week 2 - Knowing these details about your data is only half the struggle. You must also have a way to store them for easy access and analysis.
- Week 3 - Discover the best ways to pull all of this together for enhanced analytics and viewing.