Proof Analytics delivers “significant operational and cost benefits to analysts and business teams by automating causal, predictive and prescriptive analysis combined with a highly intuitive UX”

– Any calculation based on time series can be precisely automated in the Proof platform. Time series data is 99.8% of business data

– The time it takes for a data analyst to deliver a model is reduced by 90% with no loss of accuracy or fidelity

– Models are updated automatically at the speed of the data supply chain, ensuring analytics are always up to date with business “clock speed”

SCOTTSDALE, Ariz. and ST. GAL, Switzerland, May 4, 2021 /PRNewswire/ — A leading data scientist today reported that Proof Analytics’ unique combination of automated analytics and streamlined user experience (UX) dramatically accelerates the operational impact of causal, predictive, and in complex enterprises without any loss of model accuracy.

dr. Petyo Bonevprofessor of applied and theoretical econometrics and artificial intelligence at the University of St. Gallen in Switzerlandwrote: “Comparing R, Stata and Proof BusinessGPS, the three tools generated results that were exceptionally aligned in their accuracy, using the same statistical procedure and data. What really struck me, however, was that while all three tools can be employed to solve the same task, Proof’s use of automation and compelling user experience greatly reduces the complexity and time required for the data analyst and business user No tedious data import, no programming in statistical language required, no fine arts degree needed to produce an elegant and parsimonious graph With just a few clicks, all the calculations are done and the user gets a complete and intuitive summary of the Importantly, the complex model selection and calculation steps are performed automatically in the background, delivering results quickly. sse at which new data is provisioned, the user is thus “spared” from the tedious technical details of the algorithm, and only the aspects that reinforce business intuition are presented. When working with data science teams using R and Stata and other similar tools, there is still a very significant amount of human work to be done, which slows down analysis time, limits the scalability of the data science into the enterprise and dramatically increases its cost.”

CEO of proof Marc Stouse added, “The Proof automated solution presents extraordinary new leverage to understand causal relationships, predict what is likely to happen next, and make clear recommendations to business leaders when there is still time to optimize a response. For example, a marketing mix modeling routine solution offered by Nielsen or Neustar only provide 2-3 models that are only recalculated every 6-12 months. quickly become less relevant, and the cost of these programs usually starts at US$2.5 million per year because the service is delivered in a conventional manner by a large number of data scientists. It’s a slow and cumbersome process, and the results often come too late to be relevant. The strength of the evidence provides a stark contrast. For less than $65,000 per year, Proof BusinessGPS™ provides ten models that automatically recalculate at the speed of business, and easily scale from there based on customer needs.”

dr. Melissa Kovacs, founder of data science consultancy FirstEval, agrees that Proof shortens the time to get a complete model without any significant difference in accuracy. The result is that Proof users can generate and automate the recalculation of far more models than can be created and maintained by non-automated data science approaches. “The scalability, speed and accuracy that automation brings to analysis is very evident in Proof BusinessGPS™,” said Kovacs.

Dr. Bonev continued, “This type of data science is at the heart of marketing mix modeling (MMM) analysis, as well as other business optimization analyses. Here we have to say that, to our view, the average analytics services company has a difficult time performing operationally relevant MMM analysis due to the lengthy analytical process required to generate any updates and the high complexity of the statistical procedure itself .

“The benefits of real-time analytics are critical to enable rapid and agile marketing strategy implementation in an environment of rapid change and volatility. For example, the use of automation to dramatically reduce the time to value for complex modeling is potentially of enormous value to the user, and the highly automated Proof platform has reduced typical commercial modeling from hours or even days to just minutes per model. automated recalculation of models means that if new data is provisioned daily, recalculation also occurs daily, meaning a marketer would have fully updated causal, predictive and prescriptive analytics regarding a given model in addition to enough time to understand changing market conditions and change course effectively and in time. »

For more on Dr. Bonev’s findings, please read his blog at

About the proof.
Delivered on AWS and Salesforce, Proof BusinessGPS™ is the world’s best and fastest automated business optimization platform, integrating seamless data management and no-code automated analytics with best-in-class planning and budgeting capabilities , all in the form of an easy to understand, affordable SaaS platform. Regardless of industry and use case, clients use Proof to understand, predict, and make effective decisions in marketing, sales, HR, change management, and business transformation. .

Media Contact
Marc Stouse
[email protected]


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