Business Intelligence (BI) helps Enterprises succeed in today's competitive environment. However, Implementing BI solutions is a complex endeavor. Discover why BI projects are unique, their impact on business, and what decision-makers need to consider prior to implementation. Investigate the challenges related to people, processes, and managing large amounts of data and learn how to overcome them. Get familiar with Big Data utilization and Cloud technologies.
As more organizations begin or enhance their journey to analytics, they need to plan how they will apply best practices of Data Management to ensure that analytics is supported by a robust collection of quality and richly managed data. Learn about Data Management principles, data-driven use cases for end-users while complying with enterprise governance, and leveraging large volumes of facts for trend analysis.
A Business Intelligence & Data Management Certificate will be awarded upon completion of the program's 6 courses.
Information management and analysis form the pillars of Business Intelligence (BI). With the knowledge gained in this course you will be able to describe what decision makers need to consider prior to establishing strategic intent for the use of BI for organizational benefit.
The business landscape is changing rapidly and without applying advanced concepts of knowledge and data management, organizations will fail to sustain. This course will help both management and IT professionals gain the insight needed to apply the BI concepts, applications, and best practices essential to informed decision making.
It is recommended that you have work experience in Information Systems or management before taking this course.
High-quality information is the key to the successful management of businesses. Upon completion of this course you will be able to describe the role of data governance to establish quality data as an organizational asset. Despite the large quantity of data that is collected by organizations, managers often struggle to obtain information that helps them make the right on-time decisions based on trusted data. Both data availability and data integrity are keys to ensure that business decisions are based on reliable information and an organization is well-positioned to drive strategical and tactical planning with confidence. Graduates of this course will be able to describe data governance disciplines both from a business and IT point of view, and illustrate how this emerging set of organizational policies, procedures, and roles supports the management of information assets. You will also be able to describe data governance drivers, list data governance implementation, identify people, processes, and required technology, and describe data governance roles. This course is recommended for anyone interested in data governance including those who work in Information Systems (IS) or Operational Management.
Organizations are growing interest in using Cloud tools and platforms for Business Intelligence (BI). Graduates of this course will be able to describe the advantages of cloud computing for BI users and use cloud-based services to create BI reports. Cloud tools and platforms have many benefits including successfully enabling BI analytics and big data. Fluid resource allocation lends to a vast variation of analytical capabilities and large analytical solutions for both storage and processing. Upon successful completion of this course you will be able to describe Cloud Services Model and relate its benefits to BI applications.
This course is designed to gain insights on two important aspects of delivering and managing BI projects a) analyzing requirements and b) managing BI projects. Analyzing Business Intelligence (BI) project is not as simple as just gathering requirements. It requires analyzing and aligning corporate strategies and BI drivers. It is a complex process of collecting requirements from users, customers, or other stakeholders from data perspective with end goal of best knowledge management. The importance of Requirements Gathering for BI projects is critical, as BI supports a wide range of business decisions, from operational to strategic. Discover how to manage BI projects and what background information is required to lead to the project success. Companies can gain a competitive advantage such as increasing revenue, reducing costs, or reducing risks, by making better data-driven decisions as a result of well-designed BI projects. Explore the unique world of Business Intelligence and BI projects through case studies and by identifying BI Project Management strategies
Big data presents significant business opportunities. Upon successful completion of this course you will be able to describe how big data analysis is enabling organizations to have the valuable business insights needed to survive and thrive. Organizations now have access to massive amounts of data and it’s influencing the way they operate. Big data provides many new analytic applications that enterprises need to stay competitive. Graduates of this course will be able to describe fundamental concepts of data mining and illustrate various applications of big data methods in industry.
The course lays the basis for further study and decision-making regarding issues of privacy in data collection and aggregation. Emphasis will be on exploring the social, political and business drivers affecting privacy and privacy design in Big Data platforms.
The participants will learn about:
- Basic tenets of privacy, drawn from national constitutions and Bills of Rights.
- The definitions of Secure Private Information, Sensitive Private Information and Person-identifiable data.
- The evolution of privacy laws and legislation throughout the 20th Century and into the 21st. GDPR will be covered in some detail.
- Examples of privacy breaches and the fallout from privacy disasters.
- Current trends in data collection, aggregation, analysis and intuition based on examples drawn from modern social media platforms.