Data Management Practice Exam

About Data Management
Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.

Managing digital data in an organization involves a broad range of tasks, policies, procedures, and practices. The work of data management has a wide scope, covering factors such as how to:
•    Create, access, and update data across a diverse data tier
•    Store data across multiple clouds and on premises
•    Provide high availability and disaster recovery
•    Use data in a growing variety of apps, analytics, and algorithms
•    Ensure data privacy and security
•    Archive and destroy data in accordance with retention schedules and compliance requirements

Why is Data Management important?
Data increasingly is seen as a corporate asset that can be used to make more-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs, all with the goal of increasing revenue and profits. But a lack of proper data management can saddle organizations with incompatible data silos, inconsistent data sets and data quality problems that limit their ability to run business intelligence (BI) and analytics applications -- or, worse, lead to faulty findings.

Data management has also grown in importance as businesses are subjected to an increasing number of regulatory compliance requirements, including data privacy and protection laws such as GDPR and the California Consumer Privacy Act. In addition, companies are capturing ever-larger volumes of data and a wider variety of data types, both hallmarks of the big data systems many have deployed. Without good data management, such environments can become unwieldy and hard to navigate.

Who should take the Data Management Exam?
•    Compliance and Legal professionals
•    Business owners
•    Entrepreneurs
•    Anyone who wants to assess their data management skills
•    Managers and senior executives
•    Data management consultants
•    Professionals working in outsourced companies responsible for data management
•    Anyone interested in data management
•    Students

Knowledge and Skills required for the Data Management

Candidates gain quick success if they have skills of critical thinking and good communication skills.

Data Management Practice Exam Objectives

Data Management exam focuses on assessing your skills and knowledge in various aspects of Data Management covering big data, data governance, data security and data quality.

Data Management Practice Exam Pre-requisite

There are no prerequisites for the Data Management exam.

Data Management Certification Course Outline

1. Data Management Process
2. Data Architecture
3. Data Ethics
4. Data Governance
5. Data Integration and Interoperability
6. Master and Reference Data Management
7. Data Modelling and Design
8. Data Quality
9. Data Security
10. Data Storage and Operations
11. Data Warehousing and  Business Intelligence
12. Metadata Management
13. Big Data
14. Document and Content Management

Exam Format and Information
Certification name – Data Management Certification
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199