Big Data: New Data Analytics
At Precision, we understand that Big Data is more than just nomenclature for the massive increase in the scale of data. There has been a paradigm shift in the very nature of data and, thusly, in the very nature of data analytics. Working with almost every industry and economic sector, Precision’s analytics team can harness massive amounts of data that are too complex for conventional estimation methods and perform statistical tests and predictive analyses for your firm, government agency, or non-profit. Our comprehensive and individualized support ensures highly accurate results vis-à-vis your current or potential client base or target audience, market or organizational environment, and/or sociodemographic or political jurisdiction.
Precision’s team can harness the vast amounts of new data out there – from social media and online posts, satellites, and corporate financial information, to name a few sources – in economically and strategically meaningful ways that minimize the “white noise” in the application of statistical testing and prediction to decision making in your organization or organizational unit.
There are 3 ways to initiate contact with us:
- Please review and submit the following form. Someone from our team will contact you within 1 hour (during business hours), or at your requested time.
- Alternatively, our consulting team is available via telephone Monday through Friday from 8:00 A.M. to 8:00 P.M Eastern Time (5:00 A.M. to 5:00 P.M Pacific Time), and from 8:00 A.M. to 7:00 P.M. Eastern Time on Saturday (5:00 A.M. to 4:00 P.M Pacific Time). Feel free to call us on (702) 708-1411!
- We also pride ourselves on our very prompt and in-depth e-mail responses, 365 days per year. We normally answer all urgent queries very promptly, including late-night and weekend requests. You can email us at Info@PrecisionConsultingCompany.com
Please be prepared to discuss the specifics of your project, your timeline for assistance, and any other relevant information regarding your proposed consultation. We respect the confidentiality of your project and will, at your request, supply you with a Non-Disclosure Agreement before discussing specifics.
Previous projects have focused on machine learning for valid and reliable out-of-sample forecasting and predictability and statistical learning for applied econometrics and financial and market analytics. Other projects have hinged on broad exploratory data science applied to develop understanding of potential or future markets or target audiences or the potential impacts of future exogenous shocks on market and geopolitical fluctuations or stability. Regardless of your current needs, our advanced-degree applied statisticians and econometricians can identify the most appropriate data, methodologies and sampling and subsampling strategies with sound scalability for your datasets and research questions.
Our team can also assist with internal model validation for algorithm testing across large datasets and tailor our approach to datasets that are tall (thousands or millions of samples), wide (thousands or millions of variables), or both. Our extensive work with sampling and validity means we can also provide a great deal of guidance and problem-solving for contaminated data.
While it’s become standard across industries to complete statistical analysis for these large-scale projects using R, our statisticians can also work with SPSS, SAS, STATA, Python, and MATLAB, depending on your firm’s software preferences and specific dataset development and data analysis needs.
Whether your dataset requires a subsampling-based method, a divide-and-conquer design, or online updating, our highly experienced statistical consulting team can help you to develop and perform analysis for any of the following methods:
- Bootstrapping
- Leveraging
- Regression tree
- LASSO
- Mean-log likelihood
- Subsampling Markov chain Monte Carlo (MCMC) and parallel MCMC
- Aggregated estimating equations
- Majority voting
- Random forest
- Ensemble
- Screening for ultrahigh dimensions
- Online updating for data streams