Unlocking the power of natural language search PRAMANA SHIFT

One particular of the significant issues now with details is that we just have way too significantly of it.  When we might be able to obtain that knowledge, it can be difficult to easily find the facts that is appropriate.  Domo aids fix element of this issue by bringing data at scale into a solitary platform. On the other hand, occasionally we will need to make info even a lot more simply available to a simple user.  This is where by natural language search can enable and Domo has partnered with Pramana Labs to embed their Change normal language engineering into Domo.

The Change technological know-how allows me wire up a number of datasets into a one interface and start off developing lookup ordeals for styles of data that may well be helpful. It’s entirely customizable and not a “black box” – letting individual business logic at your handle. For this example, I went to a selection of our earlier Domo on Knowledge weblog posts to provide together some key economic knowledge on inflation, gasoline price ranges, layoffs and quits and unemployment promises.  Now, in Shift we have a single location where by you can ask queries about these metrics.

When I start inquiring a dilemma in Shift it will begin exhibiting me probable queries and Statlines that match what I style.  For example, below if I sort “los angeles gas” then I start viewing probable queries across the datasets. If I click on into 1 issue, I can see extra facts on that issue. I can even export the insights from results I get. And as I research I will be given solutions, so when I variety “food” I will see the many inflation classes with food stuff in the name. Use the major menu to check out the insights by using Statlines or Stream which is an space to share supplemental insights.

For far more details on the Pramana Shift technological innovation, e-mail [email protected]. Go in advance and give Pramana Change a check out down below so you can get responses to your issues about inflation, gasoline charges, layoffs and extra.