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.
When you build the foundation of a cloud-native source of truth for your data, you unlock the ability to supercharge your end-to-end workflow and spend more time proactively analyzing changes in your data. With your pipelines, data warehouse, and modeling tools in the cloud, your business can collect more data than ever before. But for this to actually benefit the business and allow you to deliver timely, high-impact insights, you need to start getting the value you’ve been seeking by using all of your data.
This is precisely where augmented analytics comes in. Augmented analytics is a new interface to data, designed to help you use all of the data captured in your cloud-native architecture to inform more decisions and accelerate the delivery of useful insights to the business.
To help you make the case for your augmented analytics investment, we gathered insight from customer conversations, feedback, and case studies. These lessons come from the people who have blazed the trail for more data-driven organizations with augmented analytics. Here’s how they explained the value.
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:
1. Get answers faster:
With proactive, augmented analytics tools like Sisu, you can answer what’s changed and why in a fraction of the time investigations used to take, leaving your business leaders time to make thoughtful decisions about how to respond.
2. Cover more ground:
Augmented analytics tools allow you to start with the metrics that matter, rather than your hypothesis, and then test every single factor in your data to understand what’s impacting your metrics. And because you’ll be working with one large, unadulterated table of data, it will be easier to add more columns and rows without major implications or delays.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.”
3. Find more useful answers:
Whether you’re a start-up with a start-up budget, or a Fortune 500 company with more data than you can handle, being able to test millions of hypotheses in seconds instantly expands your team’s ability to answer questions. And when you’re able to answer and test more questions, you build out your entire team’s capacity.
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.”
4. Streamline data-driven decision-making:
Even at large companies, there are rarely enough analysts to go around. Oftentimes product managers, marketing leaders, and sales operations learn the necessary SQL and BI skills to monitor their area of responsibility but are limited in the questions they can answer on their own. But once you’ve adopted an augmented analytics tool that pulls changes in your data directly from your data warehouses, you effectively deliver focused insights that stakeholders across the business can understand.
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 a cloud-native data warehouse and augmented analytics, your analytics team will be able 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.