"The Optimization Edge": A Book on Optimization for Business Leaders

We recently partnered with  Princeton Consultants, an information technology and management consulting firm that solves complex problems using optimization. Steve Sashihara, CEO of Princeton, wrote a book on optimization that's gotten a lot of attention over the last several years. Since we're in the optimization space and are passionate about educating business leaders on this topic, we thought we'd share some information about Steve's book.
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Spinnaker Partners with River Logic to Deliver Optimization-enabled Business Planning Solutions

DALLAS, July 7, 2017 -- River Logic today announced its new partnership with Spinnaker, a supply chain services company that helps clients grow, manage risk, reduce costs and improve customer service by developing world-class supply chain capabilities.

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Optimization: What is Old is New Again

Optimization and Operations Research have been around for the past 60-70 years, with their origin in World War II. However, in the past optimization has always been in the realm of specialist knowledge with a niche focus. It is only in the past few years that it has taken up a new avatar in the form of Prescriptive Analytics and started being taken seriously as a business user tool. The following Figure 1 illustrates the evolution of different types of analytics and the realization that Prescriptive Analytics is the highest echelon in this hierarchy.

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Focus on Optimization Business Cases to Make Smart Cities a Reality!

The first question that came to my mind is, “what exactly is a smart city?”. When I did research on smart cities, I came to the conclusion that there is no universally accepted definition of it either. It means different things to different people and is often used in political contexts with confusing agendas. Our goal for this blog is not to analyze the evolution of smart cities. Instead, our goal is to create a simple definition of a smart city and define clear goals for them. Then we can look at how we can enable the goal of these smart cities using both existing as well as future technologies.

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Did Gartner Get Prescriptive Analytics Wrong?

The short answer is yes: Gartner has gotten prescriptive analytics wrong, or at least 50% wrong. However, why do we even care about prescriptive analytics? Let’s start by having a look at the increasing amount of attention the term has gotten over the last 18 months. 

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The Future of Analytics in Integrated Business Planning

According to Wikipedia, prescriptive analysis is — after descriptive and predictive analysis — the third and final stage of business analytics. Gartner plots prescriptive analysis as the final and most difficult stage of data analytics.

This article will draw an analogy with the mapping and car industry to suggest that prescriptive analysis as an opportunity to support Integrated Business Planning (IBP) and business optimization, is not a final stage, but just at the beginning of a new planning era.

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Gartner Forecasts Significant Growth in Prescriptive Analytics

In a recent article, “Forecast Snapshot: Prescriptive Analytics, Worldwide, 2015” published on February 5, 2016, Gartner analysts Jim Hare, Christine Adams, Bhavish Sood, Alys Woodward and Hai Hong Swinehart provide encouraging predictions for the prescriptive analytics market.  

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Applying Price and Revenue Optimization for Demand Shaping

In our first post on optimizing supply and demand through demand shaping, we expanded upon the traditional definition of demand shaping to mean a process where the optimal demand and supply decisions are made by using all available supply and demand information.

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Series Re-Cap: Algorithms, Optimization and Modern Business

Over the past two weeks, we've been busy discussing the application of algorithms and mathematical optimization in business planning and execution. Here's a quick re-cap in case you missed any of the posts: 

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Algorithms, mathematical optimization & Business: Part V

This blog post concludes our fifth post in our series on algorithms, mathematical optimization and business. Here, we’ll tie together how algorithms and mathematical optimization can both be leveraged together to generate unforeseen value into businesses.

(In case you missed them, here are parts one through four: "What is an Algorithm," "Defining Mathematical Optimization," "Algorithmic Business as the New 'It' Term in Business," and "The Importance of Mathematical Optimization in Modern Business.")

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