Data Strategy & Transformation
Data Governance
Ensure trust and compliance, thrive safer data-driven decisions.
How well do you understand your data? Who is accountable for data management and quality within your organisation? How is your organisation’s data stored and processed? Are you confident in your organisation’s compliance with data-related regulations and industry standards?
Proactive planning for a robust data governance framework begins with carefully considering these crucial questions. At Dataiso, we help you address these questions confidently, building effective governance solutions that ensure data quality, integrity, and compliance.
As a data governance consulting firm, Dataiso partners with organisations to develop, implement, and optimise comprehensive data governance frameworks. We clarify data ownership, establish effective processes, and ensure regulatory compliance. Our expertise includes data quality, metadata, security, and regulatory compliance, fostering data-driven decision-making and transforming your data into a valuable asset. Discover how Dataiso can help create a future-proof data governance strategy.
Your challenges
Your challenges
Data governance (DG) serves as the bedrock for harmonised data practices, including data analytics and data management, from across organisations. It achieves this by establishing a formalised framework in line with an enterprise data strategy.
This framework enforces common definitions and formats for data across all systems. When everyone (e.g., IT staff, business users, stakeholders) is on the same page, data operations become smoother, more consistent, and much easier to keep compliant with regulations. Many organisations, however, find it difficult to adopt good data governance because of a variety of obstacles.
At Dataiso, we have a deep understanding of the unique challenges organisations face when integrating data governance into their operations to achieve success.
Limited collaboration
Effective data governance demands open communication and strong collaboration across an organisation. Siloed data governance impedes cross-team efforts, duplicating work, and missing data-driven insights.
Omnipresence of data silos
Many organisations keep data locked away in departmental silos to protect privacy. This fragments the organisational data landscape, hindering holistic insights and privacy protection.
Data volume complexity
Growing data volumes overwhelm organisations lacking robust data governance. This hinders effective data classification, prioritisation, and storage, resulting in high costs and complex data management.
Weak data security and compliance
Data breaches and underestimated compliance measures have devastating consequences. Inadequate data security governance practices make an organisation vulnerable to cyberattacks, data leaks, and unauthorised access.
Missing data strategy vision
Many organisations are often missing a clear data strategy, with departments using different data definitions, formats, and solutions. This hinders data analysis efforts, reducing the overall value of data assets.
Our key factors of success
Our key factors of success
Winning organisations make informed decisions by understanding the strategic value of data governance. At Dataiso, effective data governance initiatives are most often built through crucial key factors for success.
In today’s data-driven world, many organisations face inaccurate, inconsistent, and hard-to-analyse data. Data governance provides a framework for quality and accessibility, empowering stakeholders to make informed decisions based on reliable data.
Data ownership is often fragmented and unclear, ultimately leading to confusion, mistrust, and inefficiencies. By bridging the data ownership gap, organisations can empower everyone – from business leaders to frontline employees – to drive success.
Data silos often lead to inefficiencies and wasted resources. Effective data governance addresses these silos by standardising data management practices and guidelines. This improves operational efficiency, minimises redundancies, and reduces costs.
Many industries have strict data privacy and security regulations. Data governance helps organisations comply by establishing clear data security protocols and access controls, mitigating the risk of data breaches and associated penalties.
By leveraging data to understand business needs and customers, organisations can drive growth and innovation. Data governance ensures reliable and consistent data, enabling better usages like personalised services and improved user experience.
Investing in dedicated data governance resources (e.g., data stewards, data owners) demonstrates a commitment to achieving data governance goals with efficiency. This fosters a data management environment that maximises team productivity and output.
Controlling data landscape empowers data-driven culture, unlocking opportunities like innovation and business growth. Data governance helps businesses stay ahead and respond to market trends effectively while complying with various regulations.
Our approach
Our approach
A strong data governance framework is the foundation for effective data management within your organisation. To achieve our data governance goals, we rely on an adapted data governance framework. This framework is a set of principles and processes defining how data is collected, stored, and used to maximise its value and ensure compliance.
We offer three main data governance framework approaches to suit specific needs: centralised (top-down), decentralised (bottom-up), and hybrid (collaborative).
Centralised framework
Focus on data control
Decentralised framework
Focus on data access
Hybrid framework
Focus on data governance scaling
Whether a centralised, decentralised, or hybrid framework is implemented, we use a People-Process-Technology (PPT) framework to ensure its effectiveness. We leverage this collaborative model to help you drive successful data governance initiatives.
Our services
Our services
Dataiso provides cutting-edge data governance services to help organisations achieve real-world results. We go beyond theoretical methods, delivering bespoke solutions that address your specific challenges and unlock new opportunities.
Data governance strategy and roadmap
- Maximise return on investment (ROI) by aligning data governance objectives with the overall strategy.
- Drive growth by identifying high-impact opportunities where data governance can make a significant difference.
- Develop a comprehensive data governance roadmap for successful implementation strategies.
- Define the appropriate data governance technologies and tools to meet unique business needs and drive innovation goals.
- Strengthen data governance scaling strategies by implementing data governance operations (DataGovOps) principles.
- Showcase big data and analytics value through compelling proofs of concept (PoCs) and proofs of value (PoVs).
Data governance audit and diagnosis
- Assess all existing data governance practices, policies, and technologies.
- Identify gaps between the organisation’s current state and data governance best practices, including both technical and functional discrepancies.
- Assess data governance health and observability, including models, pipelines, quality, consistency, and accessibility.
- Evaluate data governance systems’ strengths and weaknesses using methods like performance testing, and user feedback.
- Review data governance ethics, sustainability, security, privacy, and compliance.
- Benchmark data governance maturity against industry standards with proven maturity models.
- Maximise data governance investments through efficient optimisation plans.
Data governance framework deployment
- Design tailored data governance architectures to meet requirements, such as centralised, decentralised, and hybrid governance.
- Develop your data governance committees and working groups.
- Integrate best-in-class data governance components and tools.
- Ensure seamless data governance deployment on cloud platforms, on-premises infrastructure, or hybrid environments.
- Optimise data governance infrastructure through smarter performance tuning techniques and efficient resource allocation.
- Strengthen data governance and security through proactive measures leveraging data protection and privacy best practices.
- Streamline and scale deployments with robust data governance operations (DataGovOps) practices.
Data governance policy and standards development
- Develop overarching data governance policies aligned with business objectives.
- Create detailed data governance standards and guidelines for effective data management.
- Design granular data classification schemes and procedures based on best practices.
- Create comprehensive data access and usage policies aligned with organisational objectives.
- Establish data governance champions by implementing data stewardship and ownership models.
- Define proactive decision-making processes for data-related issues.
- Define integration points with key organisational functions, such as IT and business units, for better collaboration.
- Build targeted communication and training strategies for data governance awareness, tailored to the specific needs of stakeholders.
Data quality management (DQM)
- Define data quality dimensions and attributes with ease through tailored DQM metrics.
- Incorporate industry best practices and industry standards, like ISO 8000 and 9001, into future-proof data quality framework design.
- Build robust data profiling and cleansing processes for enhanced data quality.
- Deploy proactive data quality monitoring and reporting with advanced analytics techniques.
- Deliver in-depth root cause analysis (RCA) for addressing data quality issues.
- Design resilient data quality improvement initiatives through tailored training programs and awareness.
- Track data quality over time with quality-driven metrics and customised key performance indicators (KPIs).
Data lifecycle management (DLM)
- Establish a comprehensive data lifecycle framework aligned with data governance objectives.
- Implement effective data retention, deletion, and archival policies in compliance with relevant regulatory requirements.
- Streamline data ingestion and integration for improved data quality and accessibility.
- Optimise data storage costs through efficient data retirement and disposal processes.
- Improve data traceability and impact assessment for informed decision-making.
- Align DLM initiatives with overall data governance strategy for better data management.
- Streamline data lifecycle processes by leveraging DataGovOps principles for improved efficiency and agility.
Data stewardship and ownership
- Design a tailored data stewardship model aligned with organisational structure for optimised data governance practices.
- Define clear roles and responsibilities for data stewards and data owners, ensuring data governance effectiveness.
- Facilitate efficient data-related issue resolution using effective communication.
- Foster collaboration between technical and business data stewards for better alignment and shared knowledge.
- Enhance data steward skills through tailored training.
- Assess data stewardship effectiveness through comprehensive evaluation methods like DSMM (Data Stewardship Maturity Matrix).
- Track and report on data stewardship performance by implementing tailored key performance indicators (KPIs).
Data governance metrics and reporting
- Design comprehensive data governance scorecards and dashboards for effective performance visualisation.
- Enable effective tracking methods on data-related risks through robust risk management processes.
- Drive successful data governance initiatives through efficient tailored key performance indicators (KPIs).
- Strengthen data quality, usage, and compliance by creating flexible reporting frameworks.
- Deliver data-driven insights and actionable recommendations for informed decision-making.
- Foster transparency by effectively communicating data governance value to stakeholders for informed buy-in and support.
- Design continuous improvement processes based on efficient data governance metrics toward ongoing optimisation.
Data governance training and awareness
- Enhance data literacy through targeted training programs for efficient data governance initiatives.
- Foster data curiosity with engaging learning experiences, inspiring innovative data exploration and discovery.
- Promote data governance with effective communication channels and cross-functional collaboration.
- Build a lasting data-conscious culture through awareness campaigns, regular user-centric training programs, and incentive initiatives.
- Equip employees with the appropriate tools and resources for successful data governance at all levels.
- Foster a data-centric mindset across the organisation for better-informed decision-making.
Data security governance (DSG) and compliance
- Safeguard data assets with efficient security measures (e.g., data classification, access controls) based on industry standards like ISO 27001.
- Strengthen data confidentiality, integrity, and availability using a robust CIA triad model aligned with industry standards like ISO 8000 and ISO 25012.
- Uphold fairness, explainability, and privacy by addressing data ethics and bias.
- Maintain transparency, accountability, and compliance with regulations like Data Act, GDPR, and CCPA through regular risk assessments and audits.
- Create data privacy impact assessment (DPIA) processes leveraging risk mitigation strategies.
- Prevent data breaches and maintain trust through robust data loss prevention (DLP) measures.
- Raise data security awareness among stakeholders for a stronger risk-driven culture.
- Enhance data governance monitoring through proactive data observability.
- Integrate data governance with overall organisational governance.
Our guarantees
Our guarantees
Better decision making
Better understanding of data throughout its lifecycle
Secure and compliant data
Are you ready to equip yourself with comprehensive data governance?
Data governance programs don’t have to be one-size-fits-all. While deploying one may seem very daunting and costly, the benefits of improved data quality, security, and efficiency with strong compliance far outweigh the initial investment.
At Dataiso, we believe every organisation has the potential to thrive with effective data governance. Are you ready to unlock yours and gain a competitive advantage? Get in touch to explore how we can help you achieve long-lasting success.