It's All Analytics - Part II

<p>Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments in time talent and money in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the <i>most important aspect</i> of making these analytics efforts successful. In this Book II of It’s All Analytics! series we describe two primary things: 1) What this most important aspect consists of and 2) How to get this most important aspect at the center of the analytics effort and thus make your analytics program successful.</p><p>This Book II in the series is divided into three main parts:</p><p>Part I <b><i>Organizational Design for Success discusses</i></b> ……. The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply culture – company culture is the most important aspect of a successful analytics program. The focus must be on innovation as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. </p><p>Part II <b><i>Data Design for Success discusses</i></b> ….. Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available but if you do not have good data efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage in addition to things like data structures and data formats plus considering things like Cluster Computing Data Swamps Muddy Data Data Marts Enterprise Data Warehouse Data Reservoirs and Analytic Sandboxes and additionally Data Virtualization Curated Data Purchased Data Nascent & Future Data Supplemental Data Meaningful Data GIS (Geographic Information Systems) & Geo Analytics Data Graph Databases and Time Series Databases. Part II also considers Data Governance including Data Integrity Data Security Data Consistency Data Confidence Data Leakage Data Distribution and Data Literacy.</p><p>Part III <b>Analytics<i> Technology</i> Design for Success discusses</b> …. Analytics Maturity and aspects of this maturity like Exploratory Data Analysis Data Preparation Feature Engineering Building Models Model Evaluation Model Selection and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics discussing such terms as AI = Artificial Intelligence Machine Learning Deep Learning and the more traditional aspects of analytics that feed into modern analytics like Statistics Forecasting Optimization and Simulation. Part III also goes into how to Communicate and Act upon Analytics which includes building a successful Analytics Culture within your company / organization. </p><p>All-in-all if your company or organization needs to be successful using analytics this book will give you the basics of what you need to know to make it happen.</p>