Lone Star by the Numbers

We are quantitative analysts, so it seems logical to describe the company quantitatively. Over the years, we’ve done several “Lone Star by the Numbers” communications. Here is the first installment of our 2017 update.

Zero – the required bandwidth for our AnalyticsOS^SM (AOS) software to perform predictive and prescriptive analytics at the edge in real-time. Yes, we can connect AOS and support cloud computing solutions, but isn’t it nice to know Internet of Things (IoT) doesn’t have to have a perfect network connection? Your railroad car, oil well, or factory doesn’t need to be near the whiz kids in Silicon Valley who take it for granted that everyone has broadband. If that matters to you, you might want to understand Domino’s Rule – https://www.lone-star.com/can-i-have-a-pizza-with-that/

2% – typical forecast accuracy for our Price to Win projections. No other firm offers TruPredict™ PTW simulations. TruPredict™ uses a proven approach to behavioral economics. It captures the highly non-linear behavior of corporate pricing actions. TruPredict™ uses the behavioral economic models in agent-based game theory simulations. The simulations represent the actions of all the players in an economic competition: all the buyers, and all the sellers.

14 days – two weeks was roughly the lead time advantage our AnaltyicsOS team provided in a recent IoT shootout. We forecasted an impending failure far earlier than any other IoT predictor. More importantly, we prescribed the response to the failure.

19 – the number of individual markets we modeled simultaneously for a major Telecom operator’s economic competition which included nineteen markets of network operator competition, nineteen regulators, and nineteen spectrum auctions.

20 to 1 – the low end of our productivity advantage over building models with any hand coding method. TruNavigator™ (TruNav) and AnalyticsOS^SM create efficient error free applications that can’t be matched by hand coding. But read on; see 200 and 300.

45% – The company’s compound average growth rate since our founding.

50 to 1 – We are achieving a return on analytics (ROA) of over 50 to 1 improving management of aircraft maintainers assigned by skill sets. One client realized over 100 to 1 ROA. In all cases, aircraft availability improved while costs went down.

100% – the number of competitors in one of our markets who imitate our messages, even if they can’t provide our tech enabled solutions or match our results.

200 to 1 – our typical productivity advantage over building hand coded models and simulations.

300 to 1 – what we experience as a productivity advantage for complex simulations over hand coded models. The more complex the application, the higher the productivity for TruNavigator™ and AnaltyicsOS^SM.

600 or more – The number of Subject Matter Experts (SMEs) we have on call.  We can’t possibly have all the expertise on staff our customers need. Some simulations represent more than a dozen different areas of expertise. So, we are experts in finding, recruiting and using other experts.  No analytics firm has all the domain knowledge it needs. For Lone Star to work across multiple disciplines, we must have access to a wide range of experts. Many firms use subject matter experts. No one matches Lone Star in our approach to SME management and the efficient use of their knowledge on behalf of our clients.

10,000 to 50,000 – the number of times we usually run our Monte Carlo simulations. This means a TruPredic™t PTW simulation may test 50,000 different ways a competition might occur.  This means our econometric forecasts look at 10,000 different futures to compute the odds for our clients. AOS evaluates thousands of possibilities for the future operation of an oil well.

1,000,000,000 – a common number of discreet Monte Carlo events in a Lone Star simulation. Yes, that’s a billion with a “B”. Much larger sets are fairly common, too. Our computational efficiency allows us to do these supercomputer-like models on a low-cost computing engine at the edge for IoT (with AnaltyicsOS^SM) or a laptop (for TruPredict™ and TruNav).

10 Billion – value of deals won by our Competitive Differentiation clients so far at this writing in 2017.

About a Trillion – dollars that is. The size of the economic decisions our clients have made using our simulations, applications, and services.

About Lone Star Analysis

Lone Star Analysis enables customers to make insightful decisions faster than their competitors. We are a predictive guide bridging the gap between data and action. Prescient insights support confident decisions for customers in Oil & Gas, Transportation & Logistics, Industrial Products & Services, Aerospace & Defense, and the Public Sector.

Lone Star delivers fast time to value supporting customers planning and on-going management needs. Utilizing our TruNavigator® software platform, Lone Star brings proven modeling tools and analysis that improve customers top line, by winning more business, and improve the bottom line, by quickly enabling operational efficiency, cost reduction, and performance improvement. Our trusted AnalyticsOS^SM software solutions support our customers’ real-time predictive analytics needs when continuous operational performance optimization, cost minimization, safety improvement, and risk reduction are important.

Headquartered in Dallas, Texas, Lone Star is found on the web at http://www.Lone-Star.com

Lone Star, Lone Star Analysis, TruNavigator, AnalyticsOS, TruPredict, TruNav, Eleven Questions and other marks are Trademarks, Service Marks of Lone Star.