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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
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
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