Operations Analytics

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/wharton-operations-analytics

About Course

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data. This course is appropriate for beginners and business professionals with no prior analytics experience.

Course Syllabus

In this module you’ll be introduced to the Newsvendor problem, a fundamental operations problem of matching supply with demand in uncertain settings. You'll also cover the foundations of descriptive analytics for operations, learning how to use historical demand data to build forecasts for future demand. Over the week, you’ll be introduced to underlying analytic concepts, such as random variables, descriptive statistics, common forecasting tools, and measures for judging the quality of your forecasts.

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Course Introduction

Operations Analytics: Leveraging Data with Python This course is the fourth and last course in the specialization about operations analytics. In this course, you will learn how to use operations analytics to discover insights about your data environment, and how to apply these insights to existing datasets. We will cover Python programming techniques to apply operations in a data-driven environment, and provide a quick introduction to the data visualization programming process. You will learn how to make operations exploratory data analysis, and then how to bring it all together to reveal a more complete picture of your data environment. Note: This course uses Python 3. Please upgrade to the latest version of Python (http://www.python.org/downloads/python-3.5.egg) before starting this class.Pyramids and Parallels Exploratory Data Analysis Operations: Pulling Data and Processing it Operations: Unrolling Data and Preparing Data for Analysis: Nested Data Analysis Outreach & Engagement Effective communication skills are at the heart of effective outreach - making a persuasive argument, persuading an audience, engaging a person, making a recommendation, or communicating in a non-corporate, non-commercial way. In this course, you will learn the core principles of effective outreach and engage in effective communication skills while engaging with your audience. You will learn about the role of communication theory in all areas of outreach, and

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Related Wiki Topic

Article Example
IT operations analytics In their "Data Growth Demands a Single, Architected IT Operations Analytics Platform", Gartner Research describes five types of analytics technologies:
IT operations analytics In the fields of information technology (IT) and systems management, IT operations analytics (ITOA) is an approach or method applied to application software designed to retrieve, analyze and report data for IT operations. ITOA may apply big data analytics to large datasets where to extract business insights. In 2014, Gartner predicted its use migh increase revenue or reduce costs. By 2017, it predicted that 15% of enterprises will use IT operations analytics technologies.
IT operations analytics IT operations analytics (ITOA) (also known as advanced operational analytics, or IT data analytics) technologies are primarily used to discover complex patterns in high volumes of often "noisy" IT system availability and performance data. Forrester Research defined IT analytics as "The use of mathematical algorithms and other innovations to extract meaningful information from the sea of raw data collected by management and monitoring technologies."
IT operations analytics Operations research as a discipline emerged from the Second World War to improve military efficiency and decision-making on the battlefield. However, only with the emergence of machine learning tech in the early 2000s could an artificially intelligent operational analytics platform actually begin to engage in the high-level pattern recognition that could adequately serve business needs. A critical catalyst towards ITOA development was the rise of Google, which pioneered a predictive analytics model that represented the first attempt to read into patterns of human behavior on the Internet. IT specialists then applied predictive analytics to the IT Industry, coming forward with platforms that can sift through data to generate insights without the need for human intervention.
IBM Application Performance Management IBM Operations Analytics: IBM IT Operations Analytics solutions analyze terabytes of big data from IT operations and turn it into relevant information and insights. These analytics solutions use cognitive computing capabilities to learn IT systems behavior over time and provide early warnings of abnormal behavior. Advanced text analytics are also used to extract insights from structured and unstructured data sources, such as service tickets.
Information technology operations IT operations management, ITOM, help organizations to operate in a smoother manner, and also allow for more consistency and quality with their services. This is also true for IT operations analytics, ITOA.
IT operations analytics ITOA systems tend to be used by IT operations teams, and Gartner describes five applications of ITOA systems:
SIOS Technology Corp. SIOS Technology Corp. is a San Mateo, California-based company focused on IT operations analytics ITOA, global cloud computing opportunities, business continuity and disaster recovery solutions for large enterprises. Since 1996, the company has been providing high availability clustering software for SAN and SANless environments. In 2015, SIOS Technology introduced SIOS iQ - a machine-learning based IT operations analytics platform for VMware environments.
IT operations analytics Due the mainstream embrace of cloud computing and the increasing desire for businesses to adopt more Big Data practices, the ITOA industry has grown significantly since 2010. A 2016 ExtraHop survey of large and mid-size corporations indicates that 65 percent of the businesses surveyed will seek to integrate their data silos either this year or the next. The current goals of ITOA platforms are to improve the accuracy of their APM services, facilitate better integration with the data, and to enhance their predictive analytics capabilities.
Sumo Logic In May 7, 2014, Sumo Logic was named as a Cool Vendor by Gartner in the Application Performance Monitoring (APM) and IT Operations Analytics (ITOA) categories.
Evolven Evolven is a technology company that provides IT Operations Analytics (ITOA) solutions for enterprise businesses. Founded in 2007, Evolven is headquartered in Jersey City, New Jersey, USA, with offices in Europe and Israel. Evolven sells enterprise software that apply the IT Operations Analytics (ITOA) approach, offering "change centric, blended analytics." This means that once the system has learned from examining the systems, their operational logs and the current state, it's then possible to apply machine learning/analytics to evaluate changes made to the environment.
Analytics Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
ThousandEyes ThousandEyes was included in the 2014 “Gartner Cool Vendors in Application Performance Monitoring and IT Operations Analytics” report. Forbes placed ThousandEyes fourth on the list of the "Hottest Startups of 2014."
Moody's Analytics In August 2007, Moody's Corporation created a new division for its combined non-ratings businesses, Moody's Analytics, to operate separately from Moody's Investors Service. Subsidiary companies that make up Moody's Analytics today include Moody's KMV, Economy.com, Wall Street Analytics, Fermat International, Enb Consulting Ltd., and, most recently, CSI Global Education Inc. The division began operations with Moody's KMV, Economy.com and Wall Street Analytics, and other subsidiary companies were added to Moody's Analytics through later acquisitions.
Analytics Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, sales force sizing and optimization, price and promotion modeling, predictive science, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.
Prescriptive analytics Referred to as the "final frontier of analytic capabilities," prescriptive analytics entails the application of mathematical and computational sciences suggests decision options to take advantage of the results of descriptive and predictive analytics. The first stage of business analytics is descriptive analytics, which still accounts for the majority of all business analytics today. Descriptive analytics looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure. Most management reporting - such as sales, marketing, operations, and finance - uses this type of post-mortem analysis.
Analytics Web analytics allows marketers to collect session-level information about interactions on a website using an operation called sessionization. Google Analytics is an example of a popular free analytics tool that marketers use for this purpose. Those interactions provide web analytics information systems with the information necessary to track the referrer, search keywords, identify IP address, and track activities of the visitor. With this information, a marketer can improve marketing campaigns, website creative content, and information architecture.
Fractal Analytics In 2016, Fractal Analytics appointed Pranay Agrawal as the CEO to replace co-founder Srikanth Velamakanni, the new Group Chief Executive and Executive Vice-Chairman. It also expanded its operations including the creation of two new subsidiaries Qure.ai and Cuddle.ai. In August 2016, they partnered with KNIME, an open source data analytics.
Guardian Analytics Guardian Analytics is an American privately-held company headquartered in Mountain View, California which provides behavioral analytics and machine learning technology for preventing banking fraud. More than 400 financial institutions have standardized on Guardian Analytics’ innovative solutions to mitigate fraud risk and rely on the company to stop the sophisticated criminal attacks targeting retail and commercial banking clients. With Guardian Analytics, financial institutions build trust, increase competitiveness, improve their customer experience and scale operations. It was established in 2005 and its products are based on anomaly detection to monitor financial transactions.
Prescriptive analytics Prescriptive analytics is the third and final phase of analytics (BA) which also includes descriptive and predictive analytics.