Instant Analytic Access To IBM Cloud Object Storage Data

A couple of years ago, Forbes began to notice a trend, commenting that “customer/social analysis is considered the second most important big data analytics use case…” With the rise and now dominance of social platforms like Facebook, Twitter, TikTok, LinkedIn, and others, it’s not h

Precog lets us prototype analytics projects quickly — building marketing dashboards based on data from a variety of sources — without needing a data engineer or developer — we create new data sources in a few hours to sources like Brightlocal, a popular local SEO SaaS solution, and h

We welcome Precog to the Alteryx technology partner ecosystem as a partner extending the capabilities of our platform, further simplifying analytics for our customers.

Enterprises struggle to understand and trust the data sources powering their business analyses,” said Jon Loyens, co-founder and chief product officer at data.world. “Adding ways to integrate sources to our catalog introduces more flexibility to our users, increasing their efficiency a

We recognized a need in our customer base to perform advanced analytics on SAP data sets — we performed an extensive evaluation of Precog and chose it as a strategic solution for our go to market needs based on its performance and given their strong strategic relationship with SAP.

Precog changed the game for us — instead of grueling data integration work, Precog offers a ‘connect and go’ experience — this allows us to reallocate resources to our product and our customers.

Precog is the vital tool in our ability to pull data from a variety of business sources quickly and cleanly. Our internal MongoDB backend, as well as other cloud services like Hubspot, were a constant challenge to the business teams desire for reporting data prior to using Precog. With the

Precog lets us quickly build complicated dashboards and BI queries without being constrained by our MongoDB schema. The Precog team provided expert support in recommending how to fit Precog into our BI system and helped every step of the way.

Given our experience, we approached Precog with skepticism, but to our surprise Precog lives up its word; and now we have a working analytic environment in Google BigQuery.

Precog fills a huge gap in the business analytics arena by dramatically simplifying the movement of data. Anyone serious about enabling business analysts and data scientists via self-service data should consider this product for their toolkit.