Welcome to SOLACE, Minerva's software service for standardizing and aligning your data.
Let's take a look at the SOLACE workflow to see how it works.
SOLACE starts with the legacy relational data
that an organization might have.
This could be your current projects or your historic projects, or both.
What SOLACE does for each geoscience
concept:
from lithology to minerals and texture...
is we create a master term list.
This is just a unique values list of every word
– every real
word – that you use in your actual data.
We then take a look at whatever your
organization uses for an internal standard
or an international standard that you'd
like to adhere to.
We then do an initial term comparison, and the exact "perfect" matches
are easy... they're just put off to the side.
Then SOLACE goes through the unmatched terms.
SOLACE now goes through several processes.
First, SOLACE will drop and ignore the
terms that are not suitable...
sometimes a term is in the wrong column, 
 or it just doesn't belong there.
For the majority of them, SOLACE will assign what is called "the nearest suitable term."
For example, if someone has been using
an acronym for a granite,
you know it's a granite and you align it.
In other cases, for example where you have a very complex description for a limestone
but you don't want to carry all those
other descriptions,
SOLACE can just align it to a limestone...
SOLACE will just simplify it a little bit.
Now let's look at a case in which you have terms that aren't in the standard
that you feel are valuable and important.
What you can do in SOLACE is
you can define them
using their attributes, and you can create a new code.
New codes are designed and defined
in our free ACE software.
With these custom codes defined, we now have this custom master standard
that's a mix of our alignment
picks, our new codes,
our dropped terms, and our matched terms.
Now we go back to our raw relational data –
whether this is the current
data or some new data –
and we run it through the SOLACE alignment feature.
This takes all our relational data
and compares it to our new custom standard
and it transforms the words that need to be aligned.
Now we have an aligned, standardized, interoperable database.
The first time you perform this function
it requires a little bit of work
because it's  choosing all these suitable terms
so it does require some manual effort.
But once you've finished the first alignment,
SOLACE remembers all your choices.
So when any new data comes in,
the only thing you have to make a decision on
are the completely unseen new unmatched terms.
So each time you use SOLACE, 
there's less and less work to do.
If you'd like to find out how SOLACE can transform your data, please get in touch.
