Data Governance
We understand the importance of managing and protecting your data assets while ensuring compliance and maximizing its value. Our mission is to empower your organization with robust data governance solutions.
Our Data Governance Services
Data governance is about more than just compliance; it’s about ensuring data quality, security, and accessibility.
Our comprehensive services encompass a wide range of areas:
Our comprehensive services encompass a wide range of areas:
Data Governance Strategy
We work closely with your organization to develop a data governance strategy that aligns with your business goals and regulatory requirements.
Data Quality Management
Implement data quality checks, standards, and processes to ensure the accuracy and reliability of your data.
Data Security and Privacy
Protect sensitive data assets, maintain compliance with data protection regulations, and mitigate data security risks.
Data Cataloging and Metadata Management
Enhance data discoverability and traceability through comprehensive data cataloging and metadata management.
Compliance and Regulatory Reporting
Ensure compliance with industry-specific regulations and generate accurate reports for auditing and regulatory purposes.
Platform Deployment
Efficient Deployment
We ensure a smooth deployment of the new platform, making sure all functionalities work as expected.
User Training
To maximize adoption, we offer user training to ensure your team is comfortable with the new platform.
How can you benefit from Data Governance?
Improved Data Quality
- Data governance ensures that data is accurate, consistent, and reliable. By implementing data standards, policies, and procedures, organizations can maintain high data quality, reducing errors and inconsistencies.
Increased Compliance and Risk Management
- Data governance helps organizations comply with regulations and industry standards by establishing controls for data usage, access, and protection. This reduces the risk of non-compliance penalties, data breaches, and other security incidents.
Enhanced Decision-Making
- With trustworthy and well-managed data, decision-makers can rely on accurate insights to make informed decisions. Data governance ensures that data is available in the right format, at the right time, and to the right people, enabling better decision-making across the organization.
Greater Trust and Transparency
- Transparent data governance processes instill trust among stakeholders, including customers, employees, and partners. When individuals understand how data is managed, protected, and used, they are more likely to trust the organization with their information.
How it Works
01. Establish Clear Objectives and Responsibilities
- Define the goals and objectives of data governance, such as improving data quality, ensuring compliance, or enhancing decision-making.
- Identify key stakeholders and assign roles and responsibilities for data governance tasks, including data stewards, data owners, and governance committees.
03. Implement Data Management Processes and Quality Management
- Implement processes for data management, including data collection, storage, integration, quality assurance, access control, and data usage monitoring.
- Implement mechanisms for assessing and improving data quality, such as data profiling, cleansing, enrichment, and validation.
02. Develop Data Policies and Data Governance Framework
- Create data policies that outline how data should be managed, including data classification, privacy rules, security protocols, and data lifecycle management.
- Establish a governance framework that outlines the processes, procedures, and guidelines for managing data across the organization, including data governance principles, workflows, and escalation paths.
04. Data Lifecycle Management and Monitoring
- Define processes for managing the lifecycle of data, including data creation, storage, archival, and disposal, to ensure data remains relevant, accurate, and secure over time.
- Establish mechanisms for monitoring compliance with data governance policies and standards, including regular audits, reviews, and enforcement actions for non-compliance.
01. Strategy
During this phase we will explore an existing ecosystem including:
- Clarification of the stakeholders’ vision and objectives
- Reviewing the environment and existing systems
- Measuring current capability and scalability
- Creating a risk management framework.
02. Discovery phase
We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.
- Defining client’s business needs
- Analysis of existing reports and ML models
- Review and documentation of existing data sources, and existing data connectors
- Estimation of the budget for the project and team composition.
- Data quality analysis
- Detailed analysis of metrics
- Logical design of data warehouse
- Logical design of ETL architecture
- Proposing several solutions with different tech stacks
- Building a prototype.
03. Development
Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:
- Physical design of databases and schemas
- Integration of data sources
- Development of ETL routines
- Data profiling
- Loading historical data into data warehouse
- Implementing data quality checks
- Data automation tuning
- Achieving DWH stability.
04. Ongoing support
We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:
- Fixing issues within the SLA
- Lowering storage and processing costs
- Small enhancement
- Supervision of systems
- Ongoing cost optimization
- Product support and fault elimination.
Ready to Get Started
Don’t let data governance challenges hinder your organization’s growth and success. Partner with Complere Infosystem, and let’s embark on a data governance journey that will instill confidence in your data, reduce risks, and unlock its full potential. Contact us today to discuss your data governance needs, and let’s take the first step towards a more secure and data-savvy future.
