![\"Analytics](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/06\/Analytics-300x209.png\")
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**NOTE: New client work is being accepted on a limited basis and only when orthogonal to current commitments.**<\/span><\/p>\n Statistics is essentially the application of science<\/em> to data<\/em>. \u00a0Hence, applied multivariate statistics is often referred to as “Data Science.” \u00a0In most cases, “Analytics” or “Advanced Analytics” are analogous terms. \u00a0There is a good chance that you have heard these and other terms such as\u00a0“Business Intelligence,” “Big Data,” “Machine Learning,” “Neural Networks,” and “Deep Learning” being used with increasing frequency in the last few years.<\/p>\n While the advent of automated machine learning applications have made highly sophisticated algorithms readily implementable by anyone<\/em> regardless of their level of statistical acumen, the following facts remain highly relevant to all analytics practitioners:<\/p>\n <\/p>\n While Adret LLC is happy to assist you with your analytics implementations, we also strongly believe in training clients so as to address the critical need to cross-pollinate statistical expertise and domain knowledge.\u00a0 To this end, we offer a number of training options*<\/strong><\/span>\u00a0in addition to our consulting services:<\/p>\n The short courses are designed to help audiences gain an appreciation for the power, applicability, and pitfalls of multivariate computational statistics. \u00a0They consists of five modules:<\/p>\n A flier for the course can be found here<\/a>.\u00a0 Contact us for a quote<\/a>\u00a0if\u00a0you are interested in hosting an in-house presentation of the talks\u00a0at your organization. \u00a0Collectively, the modules are designed to help managerial and technical staff appreciate how multivariate analytics might benefit their operations.<\/p>\n Testimonials<\/u>:<\/p>\n Multivariate techniques can provide tremendous insights whether dealing with small, business-critical projects or big data sets. \u00a0Regardless of the size of your data,\u00a0multivariate analytics can\u00a0help you cut through the clutter.<\/p>\n Do you wonder whether multivariate analytics can help address your business needs?\u00a0 Is it possible that your feature engineering might be improved?\u00a0\u00a0Let’s talk<\/a>.<\/p>\n <\/p>\n Have a\u00a0mountain of data?<\/em> <\/p>\n The TAMU MS Analytics is provided through a partnership between the TAMU Department of Statistics and the Mays Business School.\u00a0 The resulting program focuses on providing a diverse statistical toolkit\u00a0which can be applied broadly to find valid solutions to strategic business problems.\u00a0 Informed by this approach, Adret’s training and analytics services have a central focus on assessing\u00a0validity<\/em>\u00a0<\/strong>and providing\u00a0value<\/strong><\/em>.<\/p>\n \u201c\u2026 In practice, multivariate data sets are common, although they are not always analyzed as such. But the exclusive use of univariate procedures with such data is no longer excusable <\/strong><\/em><\/span>given the availability of multivariate techniques and inexpensive computing power to carry them out.\u201d<\/p>\n -Rencher & Christensen (2012),\u00a0Methods of Multivariate Analysis, 3rd Ed.<\/em><\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n *<\/span><\/strong> Lecture costs will vary depending on location (i.e., travel costs), availability, and audience size. \u00a0In some cases, the first lecture (Part 1) may be offered at a reduced\u00a0cost or free of charge.\u00a0 For the 1-day course, rates start at $300\/person with a minimum of 10 attendees.\u00a0 Discounts available for larger groups.\u00a0 A flier for the course is avaiable here<\/a>.\u00a0 If interested, please contact us for a quote<\/a>.<\/em><\/p>\n We love our community and country. \u00a0Government agencies may be eligible for free\u00a0or substantially discounted access to our lectures.<\/em><\/p>\n Adret LLC retains the right of refusal as necessary to secure its intellectual capital.<\/em><\/p>\n Disclaimer<\/span>: Lecture presentations are designed to increase awareness of\u00a0the capabilities of and “best practices” within data science but do not, of themselves, qualify audiences to practice data science. \u00a0The lectures also help familiarize audiences with the terminology of data science (“buzzword compliance”), better enabling them to communicate their business needs with statisticians\/data scientists. \u00a0<\/em><\/p>\n The aid of competent [<\/span>statisticians\/data scientists]<\/span> should be sought out for analytics implementations. \u00a0Individuals interested in becoming bonafide data scientists themselves (i.e., who want to torture themselves with multivariate statistics and programming\u00a0curricula) are encouraged to seek entry into graduate-level\u00a0educational programs specializing in multivariate statistics.<\/em><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" **NOTE: New client work is being accepted on a limited basis and only when orthogonal to current commitments.** Statistics is essentially the application of science to data. \u00a0Hence, applied multivariate statistics is often referred to as “Data Science.” \u00a0In most cases, “Analytics” or “Advanced Analytics” are analogous terms. \u00a0There is a good chance that you […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":19,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page_fullwidth.php","meta":[],"_links":{"self":[{"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/pages\/195"}],"collection":[{"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/comments?post=195"}],"version-history":[{"count":159,"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/pages\/195\/revisions"}],"predecessor-version":[{"id":591,"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/pages\/195\/revisions\/591"}],"up":[{"embeddable":true,"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/pages\/19"}],"wp:attachment":[{"href":"http:\/\/adret-llc.com\/index.php\/wp-json\/wp\/v2\/media?parent=195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
![\"Read](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/05\/tkb-1902-g.png\")
Substantial pitfalls in assessing statistical validity exist which are situation-based, requiring the contextual understanding of domain experts and<\/em>\u00a0a core understanding of multivariate statistics.<\/li>\n![\"Read](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/05\/Data-Science-Venn-Diagram-by-Andrew-Silver.gif\")
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![\"analytics-ppt-cover-50g\"](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/12\/Analytics-ppt-cover-50g-300x179.png\")
<\/a>A 1-hour talk on assessing statistical validity (perfect for lunch-and-learn events)<\/li>\n\n
![\"\"](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/05\/Adret-LLC-survey-Sept17.gif\")
<\/a>The\u00a0course has already been given at a few publicly-traded upstream O&G companies.\u00a0 Feedback from the short-course attendees regarding the course’s\u00a0enjoyability<\/em><\/strong>,\u00a0usefulness<\/em><\/strong>, and whether they would\u00a0recommend<\/em><\/strong> it to others\u00a0has been very positive and is summarized in the adjacent graphic.<\/p>\n\n
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\n Let’s find the bright side of it!<\/em>![\"Adret](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/05\/Adret-LLC-sunmountain-sm.png\")
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<\/a>Adret LLC’s founder Andrew Silver earned an M.S. Analytics from\u00a0Texas A&M University’s Department of Statistics and also has an M.S. Earth Science from Rice University.\u00a0 His analytics capstone project extracted metrics from millions of rows of data from thousands of wells in the South Texas Eagle Ford trend; incorporated multidisciplinary sources; and culminated in a valid, parsimonious multivariate model.\u00a0 The model was then used to assess the financial impact of various geologic indicators, drilling practices, completion styles, and production methods.<\/p>\n![\"MS](\"http:\/\/adret-llc.com\/wp-content\/uploads\/2016\/05\/MS-Analytics-orientation-c.pdf-300x153.jpg\")
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