CAREER SUCCESS IN DATA      MANAGMENT  PREPARED BY:MUNDIRIKA KUMAR
CONTENTS:•   Data management•   Classifications of the data•   Objectives of data management•   Benefits of data managemen...
INTRODUCTION• Data Management is a broad field of study,  but essentially is the process of managing data  as a resource t...
Continue…• Data management is the development and executionof architectures, policies, practices and procedures inorder to...
Classification of data•   Private data•   Corporate data•   Public data•   Departmental data•   Group data
Objectives•   To minimize the cost and time•   To keep records of staff, clients, sales etc.•   To redundancy controlled• ...
Benefits of data management•   Material and service cost•   Data can be shared•   Inventory management•   Easy to use and ...
PROCESS OF DATA MANAGEMENT
Strengths Effective data management Reputation in marketplace Expertise at partner level in HRM consultancy
Weaknesses Shortage of consultants at operating level rather than  partner level Unable to deal with multi-disciplinary ...
Opportunities  External attractive factors that represent the reason   for an organization to exist and develop  Well es...
Threats Large consultancies operating at a minor level Classify them by their “seriousness” and  “probability of occurre...
CONCLUSION• Data Management is a broad field of study which  help to the organization and any business to  maintenance, ma...
Data management
Data management
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Data management

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this is for MBA students......
TULA'S INSTITUTE, DEHRADUN

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Data management

  1. 1. CAREER SUCCESS IN DATA MANAGMENT PREPARED BY:MUNDIRIKA KUMAR
  2. 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. 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. 4. Continue…• Data management is the development and executionof architectures, policies, practices and procedures inorder to manage the information lifecycle needs of anenterprise in an effective manner.
  5. 5. Classification of data• Private data• Corporate data• Public data• Departmental data• Group data
  6. 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. 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
  8. 8. PROCESS OF DATA MANAGEMENT
  9. 9. Strengths Effective data management Reputation in marketplace Expertise at partner level in HRM consultancy
  10. 10. 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
  11. 11. 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
  12. 12. Threats Large consultancies operating at a minor level Classify them by their “seriousness” and “probability of occurrence”
  13. 13. 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.
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