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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.

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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.

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Identify Core
Objectives

  1. Regulatory Compliance    requirements

  2. Data accessibility and transparency challenges

  3. Stakeholders for data producers/consumers

01

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Perform ADG
Assessment

  1. Document existing Policies and Controls

  2. Evaluate data governance tooling and processes

  3. Understand Critical Data Elements (CDEs)

02

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Develop ADG Strategy
and Roadmap

  1. Define target state Data Architecture

  2. Estabilish Governance Committee framework

  3. Prioritization of challenges/requirements

03

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Implement
ADG

  1. Data quality, lineage and data catalog solutions

  2. Security and Privacy controls

  3. Curate data definitions, classifications and organization

04

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Empower data Team
and Data Stewards

  1. Accessibility to Critical Data Elements (CDEs)

  2. Data Management and Engineering best practices

  3. Data Quality remediation ownership clearly defined

05

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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

A top financial services firm saw significant results with the Qbiz Agile Data Governance solution.

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Problem:

The firm had multiple isolated data stores that were being used by different departments for generating corporate metrics. There was no standard metric definition for regulatory reporting which opened up the company to non-compliance.

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Solution:

Using the Agile Data Governance solution, Qbiz and the customer created a centralized Data Catalog. Together, they established a Data Architecture that improved visibility and accessibility to the regulatory corporate metrics.

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Results:

  • Improved monitoring, alerting, and tracking ofdata quality issues.

  • Consistency and repeatability in the corporate metrics data pipeline.

  • Increased trust and transparency in the critical data elements (CDEs) used for regulatory reporting

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Establish Data

Governance Today

Discover how Qbiz can help your business trust your data with an agile data governance solution. Talk to us and learn how we can tailor a solution for you and your organization.

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