Data Governance & Data Privacy Protection
As enterprises face the onslaught of high volumes of data, and cyber criminal looks to data advantage of organization data for financial gain, which put customers and employee privacy at risk. Enterprises understand that the need a team and the right Data Management solutions to protect data assets against internal and external threats. The clients we serve now have an understanding and have rethink their enterprise data protection strategy. CyberSecOp approach is a 4 step process: Assesses the business value and cost value of the enterprise’s data, Develops a governance structure geared to the data’s value, uses, users, and locations, Creates goals and a roadmap to building the data protection program, Implement the remediation to close gaps and increase data security.
What is Data Governance & Data Privacy Protection
Data Governance & Data Privacy Protection is a term used to describe a comprehensive process for controlling the integrity, use, availability, usability, and security of all data owned by or controlled by an enterprise. Improper management of data may lead to data breach, putting customers and employees privacy at risk. How can we help? CyberSecOp provides a full range of services to protect your organization against data unauthorized access, theft, and modification.
Enterprise Data Governance & Data Privacy Protection
CyberSecOp services bridging the relationship between cyber security and the regulatory requirements for data governance, data stewardship and enterprise data management and strengthen your organization’s over data protection and security posture. Enterprise data management (EDM) services provides you with the visibility of what, who and how enterprise data is managed across your enterprise.
Enterprise data management (the what)—Enabling the business to make the most of its data asset, supported by suitable tools and processes. Enabling your organization to precisely define, easily integrate and effectively retrieve data from both internal applications and external communication.
Data stewardship (the who)—Identifying the people/positions involved in EDM within the business and ensuring the formal definition of their responsibilities and accountabilities.
Data governance: (The how) Defining and managing data policies and procedures for classifying, organizing, and communicating complex activities around decisions. Also, taking action based on enterprise data.
Master data management: Analyzing existing data management processes and developing best practices for handling data inside and outside the organization.
Data quality management: Creating tools and processes to assess, manage, control and improve the accuracy, completeness, validity and quality of data across the enterprise.
Data architecture assessment: Analyzing the existing data environment and developing guidelines that address operational data stores, data warehouse and data mart implementations.
Data integration: Analyzing existing data integration processes and developing guidelines that cover how data is collected, combined, transformed and stored.
Metadata management: Developing guidelines that cover handling data definitions and information about data.
Data security: Analyzing existing data security processes and developing best practices to improve data content protection and security during transmission.
Enterprise Data Management & Application Data Management
Our Enterprise Data Management services are powered by a comprehensive set of assets and accelerators, assessment and diagnostic frameworks, best practices, and design and development guidelines. This ensure proper Enterprise Data Management & Application Data Management across your enterprise.
Data security management is the effective oversight and management of an organization's data to ensure the data is not accessed or corrupted by unauthorized users. A data security management plan includes planning, implementation of the plan, and verification and updating of the plan's components.
