Nigerian Seminars and Trainings

Search all upcoming seminars, conferences, short management courses and training in Nigeria and around the World

business logo

Training on Digital Records Management

By: Datastat Research Center

Kenya

27 - 31 May, 2019  5 days

Follow Event

  

USD 900

The Electronic Records Management (ERM) training is tailor-made to provide a detailed in-depth understanding of modern electronic records management for all the employees involved in records management across a wide range of organizations ranging from private to public sectors. The program is designed to enhance efficiency and effectiveness of the employees in the records management spectrum. Our participants will always appreciate the positive contribution to their personal profile upon completion of this course

Target Audience

Directors, Librarians, senior managers, Executive Secretaries and PA’s, records officers/managers, Account officers, information officers, knowledge managers, IT Officers ICT directors, Business Managers and other personnel involved in record keeping or managing systems for record keeping

Course Outcomes

  • Acquire knowledge on how to manage, implement and effectively run the ERM system
  • Enhance business capability and skill through professional record keeping
  • Understand Classification Schemes, Metadata, Security, Retention and Disposal.
  • Know the implementation and related processes such as Information Survey, Business Requirements, Business Case, and Roll Out.
  • Understand modern electronic filing systems
  • Have knowledge of a safe and ongoing method of records storage
  • Create policies and guidance to implement systematic improvements
  • Value the importance of electronically storing records
  • Understand the intensity of electronically storing records
  • Align organizational record keeping strategies with technology
  • Conduct information surveys
  • Develop sustainable strategies to manage and preserve records
  • Create policies and guidance to implement systematic improvements
  • Understand strategies to follow in order to effectively manage information
  • Understand the extent to which various types of information can be stored
  • Develop further knowledge on electronic storage hardware and software
  • Classify different types of records as well as the storage measures
  • Develop knowledge of various electronic management systems
  • Have knowledge to develop your own organization’s electronic support tools
Datastat Training Center, Nairobi, Kenya May 27 - 31 May, 2019

Class Session: 08:00:am - 17:00:pm

USD 900.00
(Convert Currency)

Sammy +254724527104

Datastat Research
NST PPC Advert
Related Courses
 Course on Fraud Risk Management Course on Fraud Risk Management

5 days, 05 - 09 Aug, 2019 

2019-08-05 12:08:00
Kenya

Datastat Research Center

The colossal scale of fraud means that preventing it before it occurs is more important than ever. This course builds on the skills of experienced counter fraud specialists, audit professionals and ...

Training on Applied Cybersecurity Training on Applied Cybersecurity

5 days, 22 - 26 Jul, 2019 

2019-07-22 12:07:00
Kenya

Datastat Research Center

In today’s world, organizations must be prepared to defend against threats in cyberspace. Decision makers must be familiar with the basic principles and best practices of cybersecurity to best ...

Training  on Event Planning and Management Training on Event Planning and Management

5 days, 22 - 26 Jul, 2019 

2019-07-22 12:07:00
Kenya

Datastat Research Center

A uniquely rewarding, dynamic and diverse creative industry, a career in event management can be incredibly fulfilling.  On a global basis, demand for increasingly extravagant and elaborate ...

Training on Fundamentals of Data Science Training on Fundamentals of Data Science
On going

5 days, 24 - 28 Jun, 2019 

2019-06-24 12:06:00
Kenya

Datastat Research Center

This course will help participants: understand key concepts in data science and their real-world applications. Explain how data is collected, managed and stored for data science. Plan and generate ...