Anova Analytics

Answer: Anova Analytics's official website is https://anovaanalytics.com

Answer: Anova Analytics's revenue is Under $1 Million

Answer: Anova Analytics has 1-10 employees

Answer: Anova Analytics is in Information Technology and Services

Answer: Anova Analytics contact info: Phone number: Website: https://anovaanalytics.com

Answer: We deliver the extra mile beyond Big Data, BI and Visualization, we deliver actionable insight, and high quality Data Driven Analytics. Our services reduce the risks of ambiguity with evidence based research, increase confidence in the Enterprise Decision Making processes, augment shareholders ROI, and improve the quality of decision outcomes and due diligence. We average over 20 years of experience for each of our scientists, our collective experience is over 300 years. Anova Analytics is a Data Science partnership focused on advanced Data Driven Decision management, predictive and prescriptive analytics technology. We apply math, science and superior business expertise to build robust solutions for our clients. Our scientific expertise includes statistical algorithms, machine learning, logistic optimization, simulation, neural networks, and intelligent systems. Our scientists have a proven record in producing effective predictive models to extract hidden patterns to deliver efficient and robust decision support solutions. This is complemented by our Data Driven Analytics framework for rapid agile execution of predictive models and rules. Our solutions that includes: Anomaly Detection, Best Practices Discovery, Dynamic Pricing, Sensory Data Analysis, Neuro-Linguistic Computation, At-Risk Identification, Market Segmentation, Advanced Customer Intelligence, Marketing Analytics, Web Analytics, Anomaly Detection, Risk Analysis, Simulation and Process Optimization. The company was founded on the principle that we can bring together the Decision Makers, Data Science teams and IT departments seamlessly and efficiently, allowing predictive and prescriptive solutions to rapidly move from development to deployment, so that Data Driven Decision making culture can easily incorporate advanced analytics into corporate routine operations.

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