Recent Posts by Shannon Kearns

 
Shannon was brought on to the team in July 2015 to manage the marketing efforts here at River Logic. Prior to that, she spent 3 years in Austin completing her Masters degree and working for a HealthIT SaaS company.
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The Limitations of Predictive Analytics Tools and Why Execs Should Care

Most people are familiar with predictive analytics. In short, predictive is there to answer the question “what is the likelihood that x, y, or z will happen based on the data I have?”.  While this is a useful — and in many cases essential — question to answer, the main limitation of predictive analytics isn’t the analytics itself…It’s how a business responds when the “likelihood” of a good/bad event occurring reaches a certain threshold that requires action.

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The Ten Must-Read Supply Chain Blogs of 2017

The first month of the New Year has come and gone. Since everyone chooses to do their “best of” lists in January — causing us all to be a bit slammed with “bests” — we instead decided to share our must-read supply chain blogs of 2016 a little later. These are the blogs that every organization and career professional should be reading if they’re looking stay ahead of the game this year.

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New Ventana Research on Supply Chain Planning and Prescriptive Analytics

River Logic recently sponsored a new piece of Ventana Research entitled "Supply Chain Planning with Prescriptive Analytics: Technology Enables a More Effective Process."

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How Prescriptive Analytics Reshapes Fracking in Oil and Gas Fields

Shale oil promises to put the United States back in the lead as an energy superpower. However, while shale oil is abundant, it can be difficult to locate and extract. This is why horizontal drilling and hydraulic fracturing, commonly referred to as fracking, have become common practice. Unfortunately, fracking is incredibly inefficient, as well as harmful to the environment.

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How Prescriptive Analytics Will Reshape Your Refinery Capital Expenditure

As in any industry, in oil and gas production the objective is to maximize production while minimizing overhead. Unlike many other industries, however, oil and gas refineries represent a substantial outlay of capital, so optimizing capital expenditure is critical for maximum return on investment (ROI) and return on assets (ROA).

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4 Ways to Maximize Arbitrage Opportunities Using Prescriptive Analytics

Day traders, hedge fund managers, commodity brokers, and energy traders routinely take advantage of market price differences to turn immediate profits. Maximizing an arbitrage opportunity requires precise timing and confidence in your market data, otherwise what looks to be a sure profit could turn into a net loss. That’s why more financial, energy, and commodity traders are relying on prescriptive analytics to ensure their arbitrage profits.

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Using Prescriptive Analytics to Decrease Supply Chain Disruptions

An article by Nari Viswanathan, Vice President of Product Management for River Logic, was recently featured on Supply Chain Management Review. In this article, Nari discusses the fact that Supply Chain in particular has been slow to adopt advanced analytics capabilities, mainly due to their apprehensiveness around replacing existing systems. However, Nari makes the argument that, given recent advancements in technology, data and more, it's now easier than ever for Supply Chain leaders to embrace the change that their companies are so greatly need.  Below is a blurb from Nari's article. The full article can be accessed on Supply Chain Management Review.

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Leveraging Prescriptive Analytics to Drive Digital Transformation in Oil & Gas

Over the last year, here at River Logic we have had the opportunity to make some pretty major waves in the Energy Industry — more specifically in the world Oil & Gas. Our internal knowledge of the space and the breadth of our solution delivery have both grown drastically. This is largely due to our relationship with our Energy partners, mentioned below. Given the nature of optimization-based prescriptive analytics, understanding how to apply this technology in a somewhat foreign industry can be a pretty big challenge. The truth is, optimization is complex — everything from understanding the best technology to use, to knowing what problems to tackle first, to ensuring your implementations will drive the fastest, and largest return.

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SXSW Re-Cap: Our Future is Everything Artificial Intelligence

Every year in March, my wonderful City of Austin hosts South by Southwest (SXSW). In addition to fully taking over the entire city (in the best possible way), SXSW is an event that combines music, film, gaming and more with a series of conference sessions covering a broad spectrum of interests. As a Marketer, I mostly stuck to the "Branding and Marketing" track (hoping to post on those learnings soon). However, given that we at River Logic play in the innovative technology space, I did sneak some time in to catch a few sessions on the "Intelligent Future" track.

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Don't Be Afraid of Prescriptive Analytics. Decide for Yourself if You're Ready.

We come across a lot of companies — of all sizes, across all different industries — that hear the word "prescriptive analytics" and run for the hills. I honestly can't blame them, given the misinformation that exists in the market space today around this topic. Even top-ranked analyst firms speak about the category as if it's something that only the most advanced companies can take advantage of and see value from. They see it as a crawl > walk > run approach, in which you first need to implement your BI, then your predictive, and only then can you think about implementing prescriptive.

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