This week we sat down with Maria Salazar, Head of Product Management at Qrvey. Maria shared some insights on the company’s approach to self-service analytics and working with data.
What are we talking about when we say Qrvey makes your data self service?
A lot of times, when we talk about analytics, we’re talking about static charts, reports and metrics. These are analytics that were typically built by someone in your IT department and users just looked at them passively. Self-service analytics are totally different. They are dymanic and interactive. Users can interact with them, change filters and combine data in different ways. Ultimately, users can build their own charts, reports and metrics. The goal is to serve their own specific needs and answer their own questions.
Why does making data self-service matter?
Data by nature is a complex phenomenon. There are many ways to look at it and many techniques to analyze it. Every user approaches their analysis differently. That’s why it is important that your analysis tools are both powerful and flexible. Qrvey offers solutions to democratize data. We use self-service technologies to make data accessible to everyone.
What does self-service actually mean for your data?
First, making data self-service empowers non-technical people to gain insight from their data. Not everyone is an expert at working with technology. There are those who know their way around spreadsheets like a pro, and there are those who who don’t. Qrvey removes the technical barriers so no technical skills required.
Another aspect of making data self-service is giving non-technical people the ability to make their data actionable. Using data for business decision-making is nothing short of priceless. Qrvey redefines self service while keeping in mind that different companies have different needs.
Lastly, every single one of us has encountered the challenges of collecting data. There are many different options for how to get the ball rolling. Qrvey offers a specialized set of tools to make the data-collecting procedure easier.
Qrvey is not the only technology that makes data self-service. Companies like Qlik and Tableau pioneered this concept. What makes Qrvey special?
Qrvey stands out in the market because our entire self-service analytics platform is also embeddable. The other self-service data solutions on the market were not designed to be embeddable. Software companies who build data-centric products and solutions need to enable their non-technical users. But they also they need to integrate these capabilities into their offerings. Qrvey’s platform is uniquely positioned at the crossroads of self-service and embedded analytics.