Data Management

Data Management – Making organizations get control over their data, enjoying results leading to better decisions and greater efficiency, by creating data management policies, procedures, and processes ensuring accuracy, security, accessibility, and usability. Including governance, architecture, database systems, master and mega data management, quality control, data integration, and definition, warehousing, and transformation. The process includes research, administration, maintenance, documentation, and optimization (strategy implementation, optimization, and training).

Data Visualization

Helping organizations make the data more accessible and understandable, using charts and graphs to make sense of data for decision making. Quickly identifying goals and objectives, pinpointing what action needs to be taken, build informed decisions based on facts.

Data Analysis & Insights

Translating data into actions that drive business outcomes, helping organizations increase revenues, minimize costs, and mitigate risks. Including: gaining background information, identifying and prioritizing objectives, and burning questions to focus the analysis and share preliminary findings to ensure the right path and provide recommendations.

Data protection

Includes administration, monitoring, and management of backup processes ensuring backup tasks run on schedule and data are securely backed up and recovered. Good data protection management means having effective backup processes and methodologies in place to maintain data integrity. 

Data protection management system (DPMS)

A framework enabling companies to develop and establish efficient data protection infrastructure. It provides them with systematic rules and regulations to cover policies, processes, and activities that involve personal data processing. DPMS has guidelines for the roles and responsibilities definition of the people in the company related to data protection. Having an effectively implemented DPMS helps organizations demonstrate compliance with data protection, maintain confidence and enhance trustful relationships with stakeholders, customers, and partners. Process (Document personal data flows, use a data inventory map or data flow diagram, Create a consent registry). Incorporate data protection into business processes, systems, products, or services (Adopt a Data Protection by Design approach DPIA for systems or processes that are new or undergoing major changes. Ensure compliance with the organization’s data protection policies. Use contractual clauses. Conduct checks on compliance with clauses.  Establish a process for data breaches. Use an incident record log to document incidents and post-breach response), and Establish risk monitoring and reporting (Manage risk through an enterprise risk management framework with reporting mechanisms.  Conduct internal audits to monitor and evaluate the implementation of data protection policies and processes.

Personal data protection (GDPR)

Help organizations collect, handle, process and store personal data to improve information security and governance.

GDPR Compliance & Privacy Impact Assessment (Identify existing policies, procedures, and other accountability mechanisms that are already providing rules and guidelines for processing personal data in the organization that may be leveraged and enhanced for GDPR compliance, Provide recommendations and High-level roadmap for achieving Compliance)

PII Data Discovery (Process & Technologies) – help discover PII in organizations and processes governing the usage and management of PII data. 

PII Data Protection Control Assessment (Understand the whole personal data eco-system across organizations, Track the key metrics that reveal the level of compliance with data protection regulations and laws, including GDPR.

GDPR services:

Policy & Procedures Review

Audit & Assessment

Breach Management

Data Rights Management

Data Security management

Training & Awareness

GDPR Program Management - Drive end-to-end GDPR Compliance program from discovery to maintenance.

DPO – Data Protection Officer