Sales @TelliusData. Previous IBMer and Mainer.
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Photo by Todd McDonald on Unsplash

We work with organizations around the world every day who are looking for a tool that helps business users get the answers they need. These organizations for all of eternity have wanted to know — what happened, why did it happen, how to react? This model has been applied to making decisions around who to target, products to develop, areas to explore, business models to deploy, setting prices, negotiations and beyond.

Analytical tools were slowly developed to address different pieces of this decision making process. As technology advanced, each progressive part of this process was addressed.

Analytics transformation within organizations starts with data — collecting, organizing and storing data that might be of some value to you. Temperatures from sensors, clickstream from your website, demographic data, cash flows, job performance of your employees, on and on and on.

Rob Thomas, who lead IBM cloud when I was there, co-authored a book on the “AI ladder” — a concept that IBM sales reps spent 2018–19 fruitlessly trying to interpret and regurgitate to customers. I agree with the sentiment around data collection — every company should collect as much data as possible. …

I leave the oven on quite a bit. It’s an issue that my significant other takes great umbrage at, and for good reason — it’s a waste of resources! It doesn’t seem like a lot, but it adds up to the tune of about $0.30 per hour. This is a great example of waste at the scale of an individual, at it probably costs me 5 scolds and maybe $1.50 per year.

All over the world, people are leaving the oven on. In this case, it is a metaphorical oven with an even greater cost — that metaphorical oven is…

Part of our demand generation strategy here at Tellius is through content. We publish visual and written content on our blog, here on Medium and on social media such as our LinkedIn and Twitter.

We view content not only as lead generation, but also as a requirement for any modern company. An ecosystem of content, both product-focused and not, is an important part of our ecosystem. From educating prospects pre-sales, to creating competitive differentiation, to converting individuals within prospective or current clients into sponsors on behalf of Tellius — content is critical for us.

So how do we put out…

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More than ever, CIOs are chartered with unlocking insights into their data at scale. To support this mission, thousands of organizations are making the move to Snowflake — the cloud data platform. Technology leaders understand that rapidly expanding data volumes combined with the growth of user-driven analytics requires a scalable, flexible data foundation on the cloud like Snowflake.

We’re partners with Snowflake because they provide a great platform that unifies data and provides the world’s easiest access to that data, all while being cost effective for their customers. …

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If you were even remotely aware of your surroundings in 2007, you almost certainly remember this seminal moment: Steve Jobs revealing the iPhone. Check out this clip where the crowd goes nuts when Jobs demonstrates touch scrolling. The dominant smartphone maker at the time (RIM) was reportedly incredulous and thought Apple was lying about the capabilities they showed off.

Why was the crowd so excited? They saw the potential of an integrated device. People for years used cameras for photos, TomToms for GPS, computers or terrible PDAs to send email and phones to make calls/send texts.

The 2007 iPhone had…

How I Learned to Stop Digging Through Dashboards and Love Insights

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Me after looking at looking at my 50th revenue chart of the day

Data has been collected since ancient history. The Inca people used knotted, colored fiber strings called quipus for collecting data and keeping records — from tax obligations to census records and calendrical information.

Applying Moneyball to the NBA using Tellius

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In 2003 Michael Lewis came out with a book called Moneyball: The Art of Winning an Unfair Game. This book talked about the story of Billy Beane and the Oakland Athletics — an organization that refused to spend as much money as other baseball clubs on players. Billy Beane and the A’s of 2002 applied analytics and salary adjusted sabermetrics to the player market to build competitive teams on a payroll 1/3 of the size of some of their competitors. In that same year, they won 103 games on a $41M payroll. …

How Decision Intelligence can save you thousands of hours and give organizations anywhere a competitive advantage

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Your average company decision making process

The problem businesses worldwide face is that they’re slow at making decisions.

The scale and growth of data is so great that humans are unable to understand the complex interactions inherent within that data. To help humans make the right call when faced with a complex decision, they require relevant, pertinent facts to make the best decision possible. In the industry, relevant, pertinent facts and information are referred to as “insights”. However, the analytical tool ecosystem is fragmented and inefficient — making the process of finding insights inherently slow.

The most common solution is the dashboard…

And why machine learning is like farming

Machine learning is not new —Bayesian Statistics predates the birth of the United States, pattern recognition and classification have been around since the ‘50s, Deep Blue beat Kasparov in ’97, and the list goes on. Hundreds of years later, and businesses are still failing to properly implement machine learning. What has been missing? Why is it so hard for an organization to make use of machine learning at scale?

Agricultural History

To truly understand why, we need to take a look at human behavior through time — specifically, the history of agriculture. Domesticated crops have…

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