In this day and age, it is no surprise for corporate staff to be overwhelmed with the abundance of unstructured data. ERPs and databases have evolved to a point where they can house amazingly large amounts of data. The question now is, what do you do with this data to add value? This program will introduce Business Intelligence (BI), hands-on, to allow you to clean, normalize, and interpret large volumes of data. You will be able to establish historical relationships, analyze the current situation and predict future strategies.
The application of BI is borderless, covering operational, tactical and strategic business decisions. It spans all departments and cascades down to all users who perform data cleansing, reporting, analysis, modeling, integration and automation. In this course we extensively use MS Excel as an ultimate and readily available BI tool allowing you to develop an exclusive level of expertise and adding immediate value to your job and company.
- 20% of the course is design and structure focused. 80% uses MS Excel as a BI tool.
- Groups and individuals will be equired to complete exercises, case studies, and projects on daily basis.
By the end of the course, participants will be able to:
- Boost Excel Business Intelligence (BI) expertise in data slicing and dicing, data massaging, and data aggregation and modeling
- Perform data normalization, consolidation, report writing, analysis and reconciliation
- Develop dynamic BI models, dashboards, scorecards and flash management reports by linking-up Excel with Access,
- Web, Text, Internet, SQL, ERPs and other databases
- Advance and enhance your reports' look and feel using dynamic visualization techniques
- Acquire numerous tips and tricks to enable you working efficiently
Business professionals, business analysts, data analysts, research analysts, finance professionals, marketing and sales professionals, HR professionals, IT professionals, administrative staff, supervisors, general business professionals and staff from any function who need to learn and apply state-of-the-art data analysis techniques to their daily business reporting and decision making.
- Massaging and normalizing data
- Reporting, analysis and reconciliation
- Interpretation of large data sets
- Modeling and 'what-if' scenarios
- Establishing data integration
- Business Intelligence: Data Analysis and Reporting Techniques
- Developing dynamic dashboards and scorecards
- Designing key performance indicators