By Brynne Henn - August 12, 2020
In our recent guide to Building a Cloud-Native Data Architecture, we shared a blueprint for upgrading your analytics stack and accelerating your ability to generate insights for your company. Once you build the foundation of a cloud-native source of truth, you unlock your ability to supercharge your end-to-end workflow with a more proactive, augmented analytics approach.
Why is now the time for augmented analytics? In short, once you have your pipelines, data warehouse, and modeling tools in the cloud, it’s time to finally get the ROI you’ve been promised from all that data. Augmented analytics marries the scale of cloud-native data with the speed and power of advanced machine learning (ML) techniques to proactively identify new insights in your data, explain the impact of those discoveries, and help guide the data-driven decisions you need to make daily. In short, it’s about using all your data, in near-real time, to find ways to improve the business.
With more data at your fingertips, augmented analytics accelerates your team’s ability to answer not only how your business is changing, but why. This transforms your analytics team into a proactive, rather than reactive, entity. You’ll be able to not only answer every question from the business but also help drive the decisions from that data because of these four benefits:
Or as our customers put it, “It’s like a big calculator that tests all the possible scenarios and variations to find variables that have an impact on KPIs. It does the heavy lifting of writing queries and tests for the analyst, and displays results in a digestible format.”
Before using augmented and proactive analytics tools like Sisu, Housecall Pro struggled to answer hundreds of questions a month as quickly as the business required. With a backlog of questions piling up, they turned to Sisu to augment their analysis, finding their analysts can get the facts 96% faster than before.
As Housecall Pro explained, “Sisu is like having another analyst on our team. We’re now able to be focused and faster when jumping into a problem. Sisu allows us to dive deeper and therefore be more actionable for our company.”
But once you have an augmented analytics tool up and running that pulls changes in your data directly from your data warehouses, you effectively have a self-serve tool that staff with diverse skills sets can use. As our customer Fractory put it, “Within a couple hours of learning, anybody on the team can pose a question and find all the variables that impact the question.”
With more data at your fingertips than ever before, adopting proactive, augmented analytics tools will allow your analytics team to answer questions and drive change at the pace of business.
If you’re ready to start augmenting your analytics, get in touch with our team.