Business intelligence and data analytics: Generate insights

Start Date: 12/15/2019

Course Type: Common Course

Course Link: https://www.coursera.org/learn/business-intelligence-data-analytics

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Course Syllabus

Basics of insight generation
Basic statistics: Foundations of quantitative insights
The normal distribution and histograms
Data visualisation
Advanced charts and dashboards
Demand forecasting

Deep Learning Specialization on Coursera

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Business analytics Business analytics (BA) refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods.(citation needed)
Business intelligence Business intelligence and business analytics are sometimes used interchangeably, but there are alternate definitions. One definition contrasts the two, stating that the term business intelligence refers to collecting business data to find information primarily through asking questions, reporting, and online analytical processes. Business analytics, on the other hand, uses statistical and quantitative tools for explanatory and predictive modelling.
Business intelligence Business Intelligence (BI) are the set of strategies, processes, applications, data, technologies and technical architectures which are used to support the collection, analysis, presentation and dissemination of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics and are capable of handling large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal is to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
Master of Science in Business Analytics Business analytics (BA) refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning, which is also based on data and statistical methods. Business analytics can be used to leverage prescriptive analytics towards automation.
Vubiquity The firm's data analytics offers business intelligence solutions that provide insights for service providers into viewing behaviors and preferences.
Operational intelligence Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. OI provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions.
Logi Analytics Logi Analytics, Inc. is a computer software company headquartered in McLean, Virginia, United States with offices in the UK and Sweden. It offers interactive data visualization products for business intelligence and business analytics.
Mobile business intelligence Mobile Business Intelligence (Mobile BI or Mobile Intelligence) is defined as “The capability that enables the mobile workforce to gain business insights through information analysis using applications optimized for mobile devices” Verkooij(2012) Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments or associated costs and incomes.
Business intelligence An analysis of top 100 Business Intelligence and Analytics scores and ranks the firms based on several open variables
Business analytics Business analytics depends on sufficient volumes of high quality data. The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available.
Business analytics Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, reporting, online analytical processing (OLAP), and "alerts".
Business Intelligence Competency Center Since finance and energy industries have successfully implemented business intelligence competency centers (BICCs) and have produced financial returns on their investment and accelerated decision-making speed, the healthcare industry is initiating use of BICCs. Creating a business intelligence competency center in healthcare involves prioritizing information needs, creating data governance structures, identifying data stewards to provide data quality assurance, establishing ongoing education programs, and defining predictive modeling, analytics, data warehouse, and cloud storage tools.
Embedded analytics Embedded analytics is the technology designed to make data analysis and business intelligence more accessible by all kinds of application or user.
Business intelligence In an alternate definition, Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and optimization, rather than the reporting functionality.
Digital Management, Inc. DMI helps the development and execution of business strategies through insights using business intelligence and predictive analytics.
Business intelligence To distinguish between the concepts of business intelligence and data warehouses, Forrester Research defines business intelligence in one of two ways:
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.
Institute of Analytics Professionals of Australia The Institute of Analytics Professionals of Australia (IAPA) is the professional organisation for the analytics industry, incorporating business data analytics, business intelligence, data mining and related industries. Its mission is to unite, inform, support and promote industry analytics professionals in Australia and internationally.
Analytics Analytics is multidisciplinary. There is extensive use of mathematics and statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from datadata analysis. The insights from data are used to recommend action or to guide decision making rooted in business context. Thus, analytics is not so much concerned with individual analyses or analysis steps, but with the entire methodology. There is a pronounced tendency to use the term "analytics" in business settings e.g. text analytics vs. the more generic text mining to emphasize this broader perspective. . There is an increasing use of the term "advanced analytics", typically used to describe the technical aspects of analytics, especially in the emerging fields such as the use of machine learning techniques like neural networks to do predictive modeling.
Business intelligence or as "BIDW". A data warehouse contains a copy of analytical data that facilitates decision support. However, not all data warehouses serve for business intelligence, nor do all business intelligence applications require a data warehouse.