Trust Your Data With
Agile Data Governance
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As companies mature, it is critical to evolve and dial in data governance practices at the right level for the organization. Doing so establishes trust with business users while enabling standardization and readiness of data assets that ensure accessibility, security, and compliance. With effective data governance, data is accurate, consistent, and reliable, enabling organizations to improve decision-making and operational efficiency.
The QBiz Agile Data Governance solution enables organizations to implement responsible and effective data management practices that allow them to mitigate risks, ensure compliance and maximize their data assets without over-engineering and making working with data cumbersome.
The Problem:
Balancing Data Accessibility
With Compliance
Growing organizations start to have siloes and fractured data coming from diverse data stores making it challenging to reconcile a single version of truth. Often, there is a lack of consistency and visibility as to what data assets exist. What’s more, organizational tribal knowledge creates trust issues and opens up regulatory compliance risk and greater potential for security breaches.
Striking a balance between compliance and operational agility presents a significant undertaking involving collaboration among various teams and changes to existing processes and technologies. Without a framework that establishes trust among data consumers while promoting data democratization, a myriad of accessibility and security issues start to arise.
Additionally, when teams are not armed with scalable processes and data management systems to obtain clearly aligned roles and responsibilities, organizations will be unable to provide clear guidance on data ownership and quality controls, resulting in slow development velocity and poor operational efficiency.
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The Solution:
Qbiz Agile Data Governance
Qbiz has developed an Agile Data Governance (ADG) approach that includes an assessment of the organization's regulatory requirements, a gap analysis of the data management ecosystem components, creation of a targeted data architecture and a jointly defined roadmap.
Identify Core
Objectives
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Regulatory Compliance requirements
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Data accessibility and transparency challenges
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Stakeholders for data producers/consumers
01
Perform ADG
Assessment
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Document existing Policies and Controls
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Evaluate data governance tooling and processes
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Understand Critical Data Elements (CDEs)
02
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Develop ADG Strategy
and Roadmap
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Define target state Data Architecture
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Estabilish Governance Committee framework
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Prioritization of challenges/requirements
03
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Implement
ADG
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Data quality, lineage and data catalog solutions
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Security and Privacy controls
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Curate data definitions, classifications and organization
04
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Empower data Team
and Data Stewards
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Accessibility to Critical Data Elements (CDEs)
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Data Management and Engineering best practices
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Data Quality remediation ownership clearly defined
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The result is a tailored solution that provides the data producers and consumers with scalable and consistent processes and data management systems aligned to the organization’s strategic need.
Bespoke Approach
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The traditional approach to data governance has been based on top-down policies created by executives to ensure risk avoidance and security which leads to cumbersome policies that block access and visibility to the data that people need to get their job done. Often, this one-size-fits-all approach adds unnecessary tasks that don’t lead to the desired outcomes.
Qbiz Agile Data Governance (ADG) involves a bottoms-up approach to components of the Data Management Ecosystem which is noninvasive, collaborative, and iterative. Depending on the organization’s data maturity and regulatory needs, Qbiz designs a solution at the right level and specific to strategic requirements. With Qbiz ADG, organizations will improve their processes and data management systems in the areas of compliance and regulation, security and privacy as well as integration and interoperability while empowering their data consumers to have access to the certified and trusted data they need to make informed business decisions.
Proven Expertise
Data Governance Acceleration for a FinTech Leader
A top financial services firm saw significant results with the Qbiz Agile Data Governance solution.
CHALLENGE
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Multiple isolated data stores used by different departments for generating corporate metrics.
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No standard metric definition for regulatory reporting which opened up the company to non-compliance.
SOLUTION
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Qbiz and the customer created a centralized Data Catalog.
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Established a Data Architecture that improved visibility and accessibility for regulatory metrics.
RESULTS
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Improved monitoring, alerting, and tracking of data quality issues.
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Consistency and repeatability in the corporate metrics data pipeline.
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Increased trust and transparency in the critical data elements (CDEs) used for regulatory reporting
DATA STEWARDSHIP ACCELERATOR
SPEED DATA TRUST AND CATALOG ADOPTION
Data Stewardship is a key enabler for an effective Data Governance practice, ensuring that data is accurate, consistent, complete, relevant, and secure throughout its lifecycle. Stewardship also involves enriching business context, definitions, glossary terms, lineage, quality indicators, and other metadata that help users understand, trust, and leverage data for their needs.
Data Stewards are the linchpin, yet when rolling out a governance program, the position of Data Steward is often overlooked
Qbiz's Data Stewardship Accelerator goes hand in hand with our Agile Data Governance solutions offering. It provides a fast and effective solution to curate data and implement data catalog software best practices for a specific business department, subject area, or sub-domain.
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