Unlocking the ability of pure language search PRAMANA SHIFT

One of many large challenges at this time with knowledge is that we simply have an excessive amount of of it.  Whereas we could possibly entry that knowledge, it may be arduous to simply discover the information that’s related.  Domo helps resolve a part of this drawback by bringing knowledge at scale right into a single platform. Nevertheless, typically we have to make knowledge much more simply accessible to a fundamental consumer.  That is the place pure language search may also help and Domo has partnered with Pramana Labs to embed their SHIFT pure language know-how into Domo.

The SHIFT know-how lets me wire up a number of datasets right into a single interface and begin constructing search experiences for varieties of data that may be helpful. It’s absolutely customizable and never a “black field” – permitting particular person enterprise logic at your management. For this instance, I went to various our earlier Domo on Information weblog posts to carry collectively some key financial knowledge on inflation, fuel costs, layoffs and quits and unemployment claims.  Now, in SHIFT now we have a single location the place you’ll be able to ask questions on these metrics.

Once I begin asking a query in SHIFT it’s going to begin exhibiting me potential questions and Statlines that match what I sort.  For instance, under if I sort “l. a. fuel” then I begin seeing potential questions throughout the datasets. If I click on into one query, I can see extra particulars on that query. I may even export the insights from outcomes I get. And as I search I will likely be given solutions, so once I sort “meals” I’ll see the assorted inflation classes with meals within the title. Use the highest menu to discover the insights through Statlines or Stream which is an space to share extra insights.

For extra data on the Pramana SHIFT know-how, e-mail domo@pramanalabs.com. Go forward and provides Pramana SHIFT a strive under so you may get solutions to your questions on inflation, fuel costs, layoffs and extra.