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An Opportunistic Approach to Defensive Data Governance
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Introduction
All organizations know that enterprise and online data are their most valuable strategic assets. Yet most use data the way they would use physical assets like factory infrastructure and buildings, or financial assets like investment and deposits. Prioritizing security, integrity, and regulatory compliance over dynamic use.
Xerago shares its thoughts on Data Governance and Stewardship practices that opportunistically exploit data for strategic advantage, marketing innovation, and accelerated business growth, built on the bedrock of conservative and defensive practices that assure data quality, integrity, and responsibility.
The Defensive Approach to Data Governance
The priority of the defensive approach in data governance is the minimization of risk. It does this in two ways.
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The defensive data governance approach constructs a robust security perimeter to safeguard data against breaches, unauthorized access, and other vulnerabilities.
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This approach is strict about achieving and evidencing compliance with regulations, protecting sensitive information, and minimizing potential financial and reputational damage in the event of data-related incidents.
A strong defensive approach is necessary.
The defensive data governance strategy is valuable at a time when a slew of general and industry-specific regulations — GDPR, CCPA, HIPAA, GLBA, etc.— have increased data scrutiny. And when cybercriminals find newer and more ingenious ways of cyber-assaults, data breaches, and data corruption.
So, it makes business sense that robust data security measures, access controls, and clearly defined data retention policies are hallmarks of a well-defined defensive strategy.
But what's next?
Once you have locked down data and controlled access, and have achieved and evidenced regulatory compliance, what additional roles can your data governance play?
Data Governance can go beyond being just an enabler to being a driver of competitive advantage. This requires businesses to morph the defensive data governance mindset into an opportunistic one.
The Opportunistic Approach to Data Governance
The priority of the opportunistic approach to data governance is the maximization of value. It does this in two ways.
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See data as a key strategic asset to drive business growth and pursue methods that unlock the value inherent within data assets.
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Emphasize data quality and accessibility, leverage it for data-driven business decisions, gain customer insights, improve the experience, and innovate on new markets, products, and processes.
The Polarity of Approaches
This table shows the differences between the two approaches.
| Defensive Approach | Opportunistic Approach | |
|---|---|---|
| Focus | Minimize negative outcomes. | Maximize positive outcomes. |
| Data Priorities | Ensure data integrity, security, and regulatory compliance. | Encourage data-driven innovation, agility, and exploration. |
| Data Interpretation | Data is a business asset to be protected from data breaches, misuse, and cyber-attacks. Also, ensure tighter regulatory compliance. | Data is a strategic asset to promote competitive advantage and growth through analytics, innovation, and democratic access. |
| Data Management Priorities and Outcomes | Ensure data integrity through investigation of data sources, extraction, standardization, and policies for lineage, storage, access, archival, and deletion. | Data Insights through data analytics, modeling, transformation, and enrichment. Promote visualization and combine disparate data into intuitive dashboards. |
| Data Access | Restrictive, with regulated data access through clear permissions. | Role-driven, open, decentralized end-user access. |
| Data Interpretation | Data is seen as a business asset to be protected from data breaches, misuse, and cyber-attacks. Also, ensure tighter regulatory compliance. | Data is seen as a strategic asset to promote competitive advantage and growth through analytics, innovation, and democratic access. |
| Data Responsibility | Data governance and IT teams | IT, Analytics, and Innovation teams |
| Data governance processes | Formal, well-defined policies and procedures for centralized regulated data access based on principles of least privilege. | Informal, adaptable to changing needs, decentralized user-level data stewardship and access based on principles of data democratization. |
| Decision-making | Cautious, risk-averse, prioritize data protection | Flexible, risk-receptive, prioritize best-use based on potential benefits |
Why You Need an Opportunistic Approach to Unlock the Power of Data
Data integrity, security, and compliance cannot be the end goal of data governance. These are ongoing exercises.
Irrespective of the data governance approach taken, ensuring superior data quality and integrity is an ongoing exercise to be continually improved and tightened so that the quality of data-driven decisions is the best it can be.
Remember the theory of the greater fool. No matter the technology, processes, and governance framework used to secure your data, cyber-criminals are constantly innovating to find loopholes to exploit. To stay abreast of the latest data security initiatives and technology is par for the course.
Not only are data privacy and security regulations evolving constantly, but industry-specific regulations like HIPAA in healthcare and GLBA for financial services also add another layer of complexity to compliance. Also, data laws change for every market your products are in, so regulatory compliance is an ongoing full-time process.
But, while the defensive approach to data governance is an absolute imperative, it leaves significant value untapped. An opportunistic approach, built upon defensively managed data assurances, can unlock the true potential of your data for strategic decision-making and innovation.
Here's why this shift is crucial:
1. Intelligent Data Access - A purely defensive approach might restrict access to valuable data from those who legitimately require it to make informed decisions. This can hinder business agility and limit the ability to capitalize on emerging opportunities.
An opportunistic approach does not do away with access controls but makes it granular. Access is granted only to department-wise data stewards and authorized end-users based on their specific roles and responsibilities within the organization. This minimizes the risk of unauthorized access and potential misuse of sensitive data.
2. Fuels Data-Driven Decisions - Limiting data governance to a defensive role relegates valuable data insights to a reactive posture. An opportunistic approach promotes the identification, analysis, and exploitation of data for proactive decision-making. This approach will use quality and integrity-checked data to identify trends, predict customer behavior, and optimize operations, giving your business a competitive edge.
3. Encourages Risk-based Data End-use - Data governance solely focused on data protection can inadvertently stifle innovation and create an environment of excessive caution in data usage. The opportunistic approach slightly loosens the tight fist and encourages responsible data exploration, so data-backed insights facilitate the development of new products and services. This fosters an environment where risks are calculated and then encouraged based on the potential rewards of data end-use.
4. Promotes Data Collaboration - A purely defensive data governance framework can create silos, hindering information sharing across departments. An opportunistic approach democratizes data access through clear data ownership models and responsible data-sharing guidelines. Departments can now exploit each other's data insights, leading to a more cohesive and efficient organization.
5. Enhances Customer Experience - Data governance solely focused on security can limit access to valuable customer data insights. An opportunistic approach encourages responsible customer data analysis, facilitating a deeper understanding of customer needs and preferences. This empowers organizations to personalize customer experiences by tailoring offerings and interactions based on data-driven insights, leading to increased customer satisfaction and loyalty.
6. Optimizes Resource Allocation - Defensive data governance focuses heavily on data protection measures, which can be resource-intensive. The adoption of an opportunistic approach can optimize costs by identifying areas of inefficiency and waste, leading to insights for strategic resource allocation across different projects and departments.
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Final Thoughts
While data security remains paramount, your data governance policies need to evolve beyond a defensive posture. An opportunistic approach unlocks the true potential of your data, to drive innovation, promote data collaboration in projects, optimize resource allocation, and ultimately achieve a significant competitive advantage.
Seek Data Resilience - The path forward lies in aggressively looking at what insights your data can bring, and where they can be used to boost competitive advantage. And then build the data integrity and safeguards that will support such initiatives. This is the path to data resilience. A state of flow where you are protected from data risks, while simultaneously empowered to fully exploit it for strategic advantage.
Let data insights decide the baseline integrity - The tenor of your approach to agile and opportunistic data governance should determine the robustness of defensive and conservative data governance undertones to secure the requisite data quality, integrity, and compliance standards.
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