Let's start with something controversial, environmental data collected from data loggers or sensors is pretty useless by itself. What's valuable is the ability to interpret the data and take some action to create environments that support the longevity of cultural objects. That interpretation is handled by the software and by people working together to create a stable environment. Sensors are just the start.
Our Monitoring Framework
So if sensors are just the start, what happens next? After the sensors collect the data?
Austin has put together a general framework for monitoring based on nearly a decade of analytics experience. The purpose of a monitoring framework is to become aware of conditions, understand what they mean, take some action, and understand the effects of the action (and repeat).
So when we say that sensors are just the start, we mean that good observations are just the start. The whole process is Observation, Interpretation, Action, & Evaluation.
It's easy to put a quick graphic together like the one above. It's considerably harder to develop software that empowers conservation professionals to easily move through this process, but that's what we're working on at Conserv.
We're Starting with Better Observation
Our conservation-focused sensor increases an organization's capacity to observe environmental conditions. The first gap we're addressing is bringing collection maturity from stale historical data to actionable real-time data.
Disconnected Data Loggers
We'll also work on addressing other observation challenges - including ongoing condition reporting and measuring other conditions that conservation professionals care about.
As your organization matures in a certain are you have greater capacity to create stable environmental conditions for the collection.
Interpretation is Gold
The value of a monitoring services comes from the ability to make sense of data. What should you focus on? What does it mean? What should you do about it? These questions are the core of any monitoring practice.
While our sensors are disruptive in a good way, we hope that what really catches our customers' attention is the way we plan to interpret the data.
Every collection has an implicit or explicit strategy for their collection environment. At Conserv we will be supporting your efforts to formalize a strategy and evaluate your performance to the strategy.
If you're working toward seasonal set points, how well are you following the plan? If you're working to stay within a static threshold with 90% compliance, how well are you following the plan?
How you interpret your environmental data is highly contextual based on the strategy you have for a particular space. The data really is just the start.
The Idea of a Maturity Model
At Conserv we are working with conservation professionals to develop a full maturity model for environmental monitoring along the dimensions of observation, interpretation, action, and evaluation.
The purpose of a maturity model is to assess your organization's performance along each dimension and determine what can be done not to reach perfection but to reach the next level of maturity - it's a process built around incremental improvement.
When we say that we want bring better care to more collections, we have the maturity model front of mind. To move 20% of the world's collections from Level 1 to Level 2 (however we define those levels) is a worthwhile and measurable goal.
We don't talk about Conserv as a sensor company, or even as an environmental monitoring company. We're a business that empowers conservation professionals.
Environmental monitoring is an important part of conservation work, and sensors are an important part of environmental monitoring, but all of those strategies and tools are meant to support the larger effort of preserving a shared cultural heritage.