Blog: Leverage Analytics for Insights & Stories
We live in a world where each passing day, we are increasingly more connected—digitally—with what we do and how we do it to complete tasks ranging in size and context from small-to-large and personal-to-commercial. Whether it's communicating via text messages, uploading images to the
cloud to share with friends, or surveying our community about food interests, or even taking the census, all of this contributes to the influx of data in our lives that only grows exponentially each and everyday.
It's all about the data; more specifically, it's all about the stories behind the data.
Behind all of this data are insights—stories—that can help inform us more about what's really going on—also, what's not going on. Having reliable, insightful information to work from, allows us to effectively pivot our approach, where and when necessary, to be more aligned with a desired outcome.
So you have questions after looking at your data, but not sure what to do next? This is where data analytics comes in handy. At the surface, data is just information that has the potential to give rise to lots of questions—some meaningful, others not so much. With analytics, you get answers to the questions.
Behind all of this data are insights—stories—that can help tell us more about what's going on—also, what's not going on—which allows us to effectively pivot our approach, where and when necessary, to be more aligned with a desired outcome.
The answer you get may not always be the ones you want to see or hear, but that's the beautiful part about data analytics: you get insights that allow you to see where there is a trend so you can respond to it accordingly. Such trends are often the
story being told and experienced by people using your services and products, including your own employees. These experiences, more specifically, can be with the products we buy, with the services we pay for, with the sentiment people have toward and with their employers, even how folks feel about how their elected officials are handling issues (or not).
Develop a data strategy that reflects your understanding of key business goals and objectives.
Data Strategy: Know Thy Business Goals & Objectives
I've found that one of the best ways to leverage data analytics, especially at a place like Tesla where we're pushing the envelope, is to develop a data strategy that reflects your understanding of key business goals and objectives. If you don't have this established from the onset or at some point before going too far and deep into your project, you'll likely have a difficult time aligning stories you discover from your data against something you're looking to achieve, which may just put you and your team in a tailspin wondering if the work you're doing is accomplishing anything of value.
So, make sure to carve out time at the beginning between you and other stakeholders to align with your business goals and objectives. Then, go after it and see what stories your data is telling!
If you're looking for some great business intelligence tools for your data, check out DOMO, Looker and Tableau. Each have their respective strengths and trade-offs depending on what your needs and resources are.
I am a problem solver: a tech and people leader with a passion and proven track-record in building and leading empathetic, productive teams—remote and on-site—within a continuous learning culture, while championing usable, inclusive digital products and online experiences. I am also a father, advisor, life-long learner, advocate, community builder, and speaker—I am Human. Learn more