Course Objectives
Smart goals and how to formulate them to fit the strategic planning of the company and what are the KPI that control the performance within the company in order to be in the best picture in terms of quantity and quality, cost reduction and speed of achievement
What is data, and how does it differ from information?
Familiarity with the data and information available in the company, to find the relationship between this information in order to elicit and extract strategic decisions commensurate with the nature of the company (service, production, marketing, or.....) and the type of employees and the degree of their skills and practical certificates and their gender and even their nationalities and their working hours, family status (married, single, or.....) and the nature of their work (administrative, executive...or...)
Target
- Company directors and heads of departments
- Information technology and technical support department
- Strategic Planning and Quality Officers
- Finance department administrators
Course Outline
Management and strategic planning:
- Vision, mission and values
- SWOT Strategic Environment Analysis
- Smart goal
- What is a Smart Goal?
- Smart Goal Terms and Conditions
- Examples of right and wrong Smart Goals
- KPI
- Define performance at work
- What does indicator mean?
- What does the KPI mean?
- The most important KPI used in:
- HR
- Production departments
- Marketing and sales departments
- customers service
- other departments
- Formulating KPI for our work environment
Data mining:
- Data, information and knowledge
- knowledge pyramid
- What is the data mining technique?
- Data mining steps
- The most important strategies used in data mining
- Decision Tree
- Data Clustering
- Classification of data sets
- Strategic Planning
Data mining applications:
- The military field
- Smart governments
- The medical field
- The education field
- Warehouse and logistics systems
Practical effects of data mining application in:
- Fully formulation of the company`s strategic decisions (Foreseeing the future)
- Creating smart goals and formulating KPI according to the relationships and links between the data given by data mining
- Practical applications on a human resources database to derive the most important decisions related to:
- The number of employees for the next year and what is the percentage of layoffs or the need to bring in new workers
- What are the work systems that lead to more productivity depending on the rate of absence and attendance and commitment to achieving smart goals and KPI currently used in the company?
- Practical applications on a production database in a company for:
- Deduce a set of production decisions and how to increase its quality, reduce costs, and choose appropriate work hours.
- Practical and applied cases and workshops
- Program evaluation and conclusion