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A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics. Designed as both a handbook and workbook, Data Analytics for Organisational Development presents the application of data analytics for organizational design and development using case studies and practical examples. It aims to help build a bridge between data scientists, who have less exposure to actual business issues, and the'non-data scientists.'With this guide, anyone can learn to perform data analytics tasks from translating a business question into a data science hypothesis to understanding the data science results and making the appropriate decisions. From data acquisition, cleaning, and transformation to analysis and decision making, this book covers it all. It also helps you avoid the pitfalls of unsound decision making, no matter where in the value chain you work. Follow the “Five Steps of a Data Analytics Case” to arrive at the correct business decision based on sound data analysis Become more proficient in effectively communicating and working with the data experts, even if you have no background in data science Learn from cases and practical examples that demonstrate a systematic method for gathering and processing data accurately Work through end-of-chapter exercises to review key concepts and apply methods using sample data sets Data Analytics for Organisational Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more. Regardless of your level in your organisation, this book will help you become savvy with data analytics, one of today's top business tools.

Die Datenflut beherrschbar machen: Schnell und sicher navigieren, Potenziale erkennen- Datenanalyse einfach erklärt mit Konzentration auf Umsetzung: Daten bearbeiten, beurteilen und visualisieren- Schritt-für-Schritt-Anleitung- Leicht zugängliche Programme wie MS Excel, MS PowerBI oder R nutzen- Mit Arbeitshilfen zum Download- Auch ohne Vorwissen verständlichKein Unternehmen kann es sich leisten, Datenanalyse zu ignorieren! Dieses Werk zeigt, wie Daten analysiert werden können und wie daraus Schlussfolgerungen für die Unternehmensstrategie abgeleitet werden können.In jedem Unternehmen werden heute in großem Umfang Daten generiert, die die Grundlage für wichtige Entscheidungen bilden können. Bevor aus den Daten Schlussfolgerungen abgeleitet werden können, sind die Daten in zuverlässiger und reproduzierbarer Weise zu erfassen, auf Fehler und grobe Abweichungen zu prüfen und zu säubern sowie statistisch zu analysieren und für Managementpräsentationen vorzubereiten. Der Leser erhält hierfür eine Schritt-für-Schritt-Anleitung und er erfährt, wie aus rohen Daten zuverlässige Informationen werden.

Speckle metrology includes various optical techniques that are based on the speckle fields generated by reflection from a rough surface or by transmission through a rough diffuser. These techniques have proven to be very useful in testing different materials in a non-destructive way. They have changed dramatically during the last years due to the development of modern optical components, with faster and more powerful digital computers, and novel data processing approaches. This most up-to-date overview of the topic describes new techniques developed in the field of speckle metrology over the last decade, as well as applications to experimental mechanics, material science, optical testing, and fringe analysis.

Dieses Werk ermöglicht eine systematische und kalkulierbare Erschließung und Nutzung vorhandener Software-Systeme durch Reengineering.

Grain Storage was first published in 1969. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions.The deterioration or spoilage of stored grain is a problem of serious dimension, both from the standpoint of the financial balance sheet of those engaged in commercial grain enterprises and as a formidable factor in the worldwide fight against hunger. In this useful book the authors present practical information, in non-technical language, about the causes and methods of preventing the deterioration of stored grains and seeds.The emphasis is on the role of fungi but material also is included on problems with insects, mites, and rodents in connection with grain storage. The fungi are of prime importance since not until recently have they been recognized as a major cause of loss of quality in grains and seeds. Even today many of those who deal with grains, from warehouses to management personnel, fail to realize that fungi may play a decisive role in their operations.The book will be of special interest and value to grain merchants and processors, grain elevator managers and operators, grain inspectors, agronomists and agricultural economists concerned with crop production, and many others in agricultural or food processing fields.