2. CONTENTS:
• Data management
• Classifications of the data
• Objectives of data management
• Benefits of data management
• Process of data management
• SWOT analysis of data management
3. INTRODUCTION
• Data Management is a broad field of study,
but essentially is the process of managing data
as a resource that is valuable to an
organization or business.
4. Continue…
• Data management is the development and execution
of architectures, policies, practices and procedures in
order to manage the information lifecycle needs of an
enterprise in an effective manner.
5. Classification of data
• Private data
• Corporate data
• Public data
• Departmental data
• Group data
6. Objectives
• To minimize the cost and time
• To keep records of staff, clients, sales etc.
• To redundancy controlled
• Easy to learn and use
• To performance
• Recovery from failure
7. Benefits of data management
• Material and service cost
• Data can be shared
• Inventory management
• Easy to use and learn
• Process cycle
• Conflicting requirements
Can be balanced
10. Strengths
Effective data management
Reputation in marketplace
Expertise at partner level in HRM consultancy
11. Weaknesses
Shortage of consultants at operating level rather than
partner level
Unable to deal with multi-disciplinary assignments
because of size or lack of ability
12. Opportunities
External attractive factors that represent the reason
for an organization to exist and develop
Well established position with a well defined market
Identified market for consultancy in areas other than
HRM
13. Threats
Large consultancies operating at a minor level
Classify them by their “seriousness” and
“probability of occurrence”
14. CONCLUSION
• Data Management is a broad field of study which
help to the organization and any business to
maintenance, manage and minimize the overall
cost and achieve their organization goals and
objectives and success their career.