Course Details

Big Data & Records Analytics Training Course

INTRODUCTION

"Unlock the hidden potential of your organizational records with our 'Big Data & Records Analytics' training course. In today's data-driven world, traditional records management is evolving to leverage the power of big data. This course equips you with the essential knowledge and skills to analyze vast datasets, extract valuable insights, and optimize your records management strategies. Learn how to apply advanced analytics techniques, utilize big data tools, and make informed decisions based on data-driven intelligence. Transform your records management approach and gain a competitive edge by mastering the principles of big data and records analytics."

DURATION

5 days

TARGET AUDIENCE

• Records Managers
• Data Analysts
• Business Intelligence Professionals
• IT Professionals
• Compliance Officers
• Information Governance Professionals
• Anyone responsible for managing and analyzing large volumes of records

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the principles of big data and records analytics.
• Utilize big data tools and technologies for records analysis.
• Apply advanced analytics techniques to extract insights from records.
• Develop data-driven strategies for records management.
• Ensure data quality and integrity in big data environments.
• Integrate analytics into existing records management workflows.
• Address legal and ethical considerations related to big data analytics.
• Monitor and evaluate the effectiveness of analytics initiatives.

COURSE MODULES

Module 1: Introduction to Big Data and Records Analytics

• Overview of big data concepts and technologies.
• The importance of analytics in modern records management.
• Challenges and opportunities in analyzing large datasets.
• Key terminology and concepts.

Module 2: Big Data Tools and Technologies

• Introduction to Hadoop, Spark, and other big data platforms.
• Utilizing data warehousing and data lakes.
• Implementing data visualization tools.
• Cloud-based big data solutions.

Module 3: Data Quality and Integrity in Big Data Environments

• Ensuring data accuracy and consistency.
• Implementing data cleansing and validation techniques.
• Managing data governance in big data environments.
• Data lineage and provenance.

Module 4: Advanced Analytics Techniques

• Applying statistical analysis and machine learning.
• Utilizing predictive analytics and forecasting.
• Implementing data mining and pattern recognition.
• Natural language processing (NLP) for records analysis.

Module 5: Developing Data-Driven Strategies for Records Management

• Identifying key performance indicators (KPIs) for records management.
• Developing data-driven policies and procedures.
• Utilizing analytics for risk assessment and compliance monitoring.
• Optimizing records retention and disposal strategies.

Module 6: Integrating Analytics into Records Management Workflows

• Implementing analytics dashboards and reports.
• Integrating analytics with ERM systems.
• Automating data analysis and reporting.
• Real-time analytics for records management.

Module 7: Legal and Ethical Considerations

• Addressing data privacy and security concerns.
• Compliance with data protection regulations (e.g., GDPR, CCPA).
• Ethical considerations in data analysis and usage.
• Legal implications of big data analytics.

Module 8: Monitoring, Evaluation, and Best Practices

• Monitoring the effectiveness of analytics initiatives.
• Evaluating the impact of data-driven strategies.
• Best practices for continuous improvement.
• Future trends in big data and records analytics.
• Q&A and course review.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com