#Pittsburgh business intelligence applications salary how to
To best teach students how to improve business acumen within an organization, business intelligence graduate degree programs may offer concentrations related to business technology integration, database design, or modeling.Īttaining an MS in Business Intelligence is a great option for data experts who want to help other members of an organization make better use of business data.Įarning an MS in Business Analytics is ideal for professionals who want to use sophisticated data analysis and mathematical modeling to transform raw data into meaningful business insight. Students will become familiar with dashboarding technologies to understand how they can be integrated with other IT systems and be used to make large-scale data more digestible at all levels of an organization.Īn MS in Business Intelligence typically offers courses that focus on data mining, storage and management. Tableau) used to help non-technical employees understand and act on complex data. These students will learn in-depth knowledge of business technologies (e.g. Professionals pursuing a career in data are well-suited to obtain a business intelligence graduate degree. Here’s a look at some of the key differences between these two master’s degrees. MS Business Analyticsīoth the MS in Business Intelligence and the MS in Business Analytics are designed for data experts who want to transform raw data into actionable information for businesses, but they take slightly different approaches to achieve this goal. Two popular advanced education paths are the MS in Business Intelligence and the MS in Business Analytics, but how do you know which is the right path for your career? There are several ways for data experts to develop their careers and stand out in this highly competitive field. Data specialists with a flair for business are already in high demand and will play an increasingly transformational role for their employers. Yet, with a predicted job shortage of 1.5 million big data experts by 2018, many organizations will struggle to manage and use their data effectively.
For modern businesses, the most valuable asset they have is their data.
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