Organizations should consider using Collibra Data Governance if they want to:
Improve the quality, consistency, and reliability of their data - Collibra Data Governance helps organizations to define and enforce data standards, as well as to identify and correct data errors.
Increase data accessibility and transparency - Collibra Data Governance provides a single location for users to find and access data, as well as to understand the meaning and context of the data.
Reduce the risk of data breaches and compliance violations - Collibra Data Governance helps organizations to track and manage data access, as well as to implement data security and privacy controls.
Improve decision-making - Collibra Data Governance provides users with the insights they need to make better decisions based on data.
Accelerate innovation - Collibra Data Governance helps organizations to make their data more accessible and usable, which can lead to new products, services, and business opportunities.
Complex data landscape - Collibra is purpose-built for large organizations with complex data environments including multiple data types, systems, standards, and regulations.
Regulated industry - Strong data governance is critical for regulated industries like healthcare, finance, insurance that need to prove compliance and auditability.
Inconsistent data quality - Collibra provides workflows, rules, and mechanisms to validate, improve, and monitor data quality across the organization.
Manual data processes - Collibra automates and standardizes data stewardship activities through roles-based access, approvals, and workflows.
Lack of collaboration - Collibra centralizes communication and coordination for data stakeholders enterprise-wide.
Poor data literacy - Collibra serves as a hub for training and disseminating data policies, standards, and best practices company-wide.
New analytics initiatives - Implementing Collibra helps establish governance and trust before undertaking new AI/ML and analytics programs.
Some specific examples of situations where an organization might want to consider using Collibra Data Governance include:
The organization is growing rapidly and its data is becoming increasingly complex and siloed.
The organization is facing new regulatory compliance requirements.
The organization is looking to improve its data-driven decision-making.
The organization is looking to accelerate its digital transformation.
Collibra Data Governance is a powerful tool that can help organizations to improve their data governance practices and to realize the full value of their data assets.
Here are some additional benefits of using Collibra Data Governance:
Increased collaboration and productivity: Collibra Data Governance provides a central platform for users to collaborate on data governance tasks and to share data assets. This can lead to increased productivity and efficiency.
Improved customer satisfaction: Collibra Data Governance can help organizations to improve their customer satisfaction by providing customers with access to high-quality, accurate data.
Reduced costs: Collibra Data Governance can help organizations to reduce costs by eliminating data silos, improving data quality, and reducing the risk of data breaches.
Here are some common implementation challenges and issues that can arise when deploying Collibra for data governance:
Adoption - I'm putting this on the top of the list. The platform is primarily marketed with business users as the primary target. However, in my experience, due to its user experience challenges, it is difficult to get business users to use it. It is rather easier for technologists to be be trained on it and they'll front business queries. Of course, you can create a simple dashboard for business users to access business glossary etc. Anything more complicated causes lot of pain to deal with. For instance, the search results for a business user elicits more questions than answers.
Defining the governance model - Issues mapping out details of data governance roles, decision rights, and procedures aligned to business needs.
Stakeholder buy-in - Lack of engagement from data stakeholders on adopting new governance processes. Pushback due to change.
Executive sponsorship - Unable to get leadership commitment and support for the program which can limit authority.
Staffing and resources - Not having enough skilled resources to configure, customize, train and support the platform implementation. In my experience, I had to hire dedicated integration engineers and data stewards who'll keep the content current and meaningful.
Integrations - Technical complexity in integrating Collibra with the existing data landscape including databases, warehouses, BI tools, etc. Data integration is not mature in Collibra and no-code/low-code integrations is not an option. Plan data integration like you would plan for any other data movement and synchronization. Most implementations I've witness has done custom Rest API (that Collibra supports) for their implementation and they've orchestrated how the data should get published in and out of Collibra. Collibra Data Governance needs to be integrated with your existing IT systems and applications. This can be a complex and challenging process.
Change management - Inadequate communication and training causes confusion and inconsistent adoption of Collibra.
Unrealistic expectations - Thinking Collibra will automatically identify and fix data issues without the hard work of governance.
Scope creep - Letting the initial scope balloon without focus on business value.
Measuring ROI - Difficulty defining and tracking success metrics, KPIs, and value realization from Collibra deployment.
Sustaining adoption - Lack of continued support and training causes usage to drop off after initial rollout.
Underestimating the scope of the project - Collibra Data Governance is a complex platform with a wide range of features. It is important to carefully assess your needs and to develop a realistic implementation plan.
Poor data quality - Collibra Data Governance cannot work its magic on poor quality data. It is important to clean and standardize your data before implementing Collibra Data Governance.
The need for scalable, robust enterprise data governance is the key driver for evaluating powerful platforms like Collibra. It represents a strategic investment for data-driven organizations. I'll share additional posts on alternatives to Collibra for small to medium organizations or use cases where a large investment (considerable annual subscription cost of Collibra) is not feasible.
Here are some example client success stories that Collibra Sales had shared with me and the customer shared stories during the company's annual data conference could be highlighted for Collibra's data governance solutions:
Large Financial Institution
Implemented Collibra DGC to comply with BCBS 239 regulation for risk data aggregation and reporting.
Automated data quality rules and workflows reduced manual errors by 75%.
Established enterprise data dictionary with 10,000+ terms to standardize financial metrics and taxonomies.
Global Retailer
Leveraged Collibra to build new customer 360 analytics solution by governing customer data across regions and brands.
Data stewardship portal increased contributor productivity by 20%.
Reduced customer data mismatches by 40% within the first year.
Healthcare System
Deployed Collibra DGC to meet HIPAA compliance requirements for patient data security and privacy.
Automated data security classifications and access policies saved IT over 2,000 man hours.
Accelerated new analytics projects by reusing governed datasets certified as compliant.
Energy Company
Used Collibra Catalog to document systems and data flows for required regulatory audit.
Integration with Tableau empowered 300+ self-service analysts with certified data.
Decreased the time spent preparing data for regulatory report from 80 to 10 hours.
AB InBev
AB InBev is the world's largest brewer, with over 500 brands in over 150 countries. The company uses Collibra Data Governance to manage its global data assets. Collibra Data Governance has helped AB InBev to improve the quality, consistency, and reliability of its data, as well as to increase data accessibility and transparency.
BASF
BASF is a German chemical company that is one of the largest in the world. The company uses Collibra Data Governance to manage its data assets across its global operations. Collibra Data Governance has helped BASF to improve the efficiency of its data governance processes and to reduce the risk of data breaches.
Cigna
Cigna is a global health insurance company that serves over 185 million customers worldwide. The company uses Collibra Data Governance to manage its data assets in support of its digital transformation initiatives. Collibra Data Governance has helped Cigna to improve the quality and accessibility of its data, as well as to reduce the risk of compliance violations.
Heineken
Heineken is the world's most international brewer, with operations in over 70 countries. The company uses Collibra Data Governance to manage its data assets and to support its data-driven decision-making. Collibra Data Governance has helped Heineken to improve the efficiency of its data governance processes and to reduce the risk of data breaches.
Southwest Airlines
Southwest Airlines is a major US airline that is known for its low-cost fares and customer service. The company uses Collibra Data Governance to manage its data assets and to support its data-driven decision-making. Collibra Data Governance has helped Southwest Airlines to improve the efficiency of its data governance processes and to reduce the risk of compliance violations.
Sash Barige
Aug/25/2019
Photo Credit: Unsplash.com
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