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Analytics management enables organizations to solve a wide set of problems and to obtain maximum value from data by leveraging sophisticated quantitative and statistical tools. Analytics management is most commonly associated with information technology and the Internet, such as Google’s Analytics Management API platform that allow exclusive access to Google Analytics configuration data. However, analytics management may also refer to various jobs and programs designed to collect, analyze and interpret business data.
Analytics Management for Online Sales
Any business engaged in e-commerce will most likely use analytics management tools to monitor website operations, sales activities, digital marketing and content management tasks. IT analysts may use analytics management tools for analyzing and reporting on website performance, digital advertising results, content management requests and website merchandising trends. These analysts will work with departmental leaders and other stakeholders to achieve goals as they relate to the website. This type of analytics management will require analysts to create processes to maximize site efficiency, conversion rates and incoming traffic leads. These analysts will incorporate automation tools and lead nurturing tactics to boost overall website performance and sales revenue. Website analysts may be responsible for leveraging Google Analytics results to improve website development, enhance user experiences and leverage new media channels. These analysts may have a degree in business, marketing or e-commerce management.
Analytics Management for Enterprise Data
Corporations that employ enterprise systems use analytics management tools for research and planning purposes. Enterprise data manages will have extensive knowledge of analytical techniques and experience in gathering data to solve complex problems. Enterprise data managers use analytics management tools to generate customized reports related to threat analysis, business modeling, operations research, internal logistics, budget performance and training and training development. They must have the ability to plan and carry out complex projects to completion by applying their extensive knowledge of analytics management concepts, practices and procedures. Enterprise data managers may use analytics management tools to provide senior management support for ad hoc research projects and technical programs. Enterprise data may be stored in isolated and outdated databases and data warehouses, so enterprise data managers must know how to use integrated data migration solutions.
Analytics Management for Data Mining
Multinational corporations with offices spread around the world will need a steady flow of comprehensive reports and research to understand operations, minimize vulnerabilities and implement new business opportunities. Data mining managers use analytics management concepts and systems for strategic and tactical business planning, operations and decision-making. They continually access, collect, organize and share financial, administrative, operational, employee and supply chain data. Data mining managers strive to create and support business cultures that treat data as a cross-departmental asset. They often collaborate with CIOs, IT directors, database administrators and information technology managers to create data-driven operations and tech-savvy employee. Data mining managers may use analytics management tools to provide enhanced interface architecture, business intelligence, data visualization and operational analysis.
Related Resource: What is an IT Risk and Compliance Analyst?
Analytics management is popular with IT driven and dependent organizations that are found in the finance, academic, e-commerce, health care, supply chain and management consulting sectors. Analytics management offers business leaders cross-functional business intelligence that may lead to increased cost savings, staff productivity, website optimization and workflow streamlining.