Qrvey Blog

Moving Analytics Into
The Age Of Microservices

Webinar: The Problem with Traditional Analytics – Part 1

Qrvey is the analytics platform that solves today’s biggest analytics challenges, and to prove it, we’re launching a new three-part webinar series simply entitled “The Problems with Traditional Analytics.” In part one, we’ll be exploring the dark data problem, which is simply that traditional analytics leaves up to 70% of your business data behind. Legacy…

Re:Invent 2019 – Exciting News For Qrvey Customers

AWS surprised us again this year with literally hundreds of new features and services across their platform. And as usual, we’ve been combing through every announcement to pick out which ones are the most relevant for the next generation of analytics applications and which ones will be integrated into the Qrvey platform. We previously mentioned…

AWS Doubles Down on Machine Learning

AWS made some big machine learning (ML) announcements ahead of it’s annual re:Invent conference in Las Vegas this year. The company is making it easier for developers to add machine learning predictions to their existing applications and business intelligence dashboards using familiar SQL queries. According to Matt Asay, principal at AWS, these new tools will…

Avoid These 8 Embedded Analytic Pitfalls

Embedding analytics into your platform doesn’t have to be a complicated or cumbersome process. Unfortunately, most companies don’t have analytics as one of their core competencies, which means mistakes are all too common. Most of these mistakes lead to the same place, to implementations with low adoption rates that fail to deliver insights to those…

Your Consulting Services Are Under Attack

The best consultants and systems integrators are always the ones who remain nimble and are able to recognize and adapt to changing market conditions. In a rapidly changing business environment, consultants are increasingly under pressure to provide the scale and scope of services their clients need to get the job done quickly, efficiently and under…