Services
Data Governance Program
Tell us about your project.
Introducing our comprehensive Data Governance Program designed to help organizations manage and protect their data assets effectively.
Why Choose Orases?With a focus on data quality, security, and compliance, we provide a structured approach to ensure that your data is accurate, accessible, and secure across your enterprise. Our program equips your team with the tools and best practices needed to maintain regulatory standards, minimize risk, and maximize the value of your data.
Our Expert Data Strategy Consulting Services
Engaging solutions proven to work.
Explore how our comprehensive suite of services, including data strategy assessment, executive advisory services, and generative AI readiness, can complement your data strategy and drive further success.
Data Strategy Assessment
Data strategy assessment evaluates your current data practices, infrastructure, and goals to identify opportunities for improvement and alignment with your business objectives.
Data Strategy Refinement & Execution
Data strategy refinement & execution focuses on fine-tuning your current data approach to better suit your shifting business priorities, followed by its effective deployment.
Generative AI Readiness & Strategy
Generative AI readiness and Strategy prepares your organization to effectively adopt and leverage generative AI technologies.
Tool, Technology & Architecture Recommendations
Process for evaluating and selecting the optimal hardware, software, and structural frameworks that align with an organization’s data goals.
Data Strategy Consulting
Data strategy consulting offers expert guidance to help organizations develop and implement a comprehensive data strategy aligned with their business objectives.
Executive Advisory Services
These services include strategic planning, risk assessment, and the integration of data-driven insights into organizational processes, aimed at building a data-centric culture at the executive level.
Challenges Addressed Through A Data Governance Program
How Orases data strategy can improve your business operations.
A Data Governance Program addresses several key challenges organizations face when managing data effectively:
Data Quality Issues
Inconsistent, inaccurate, or incomplete data can lead to poor decision-making. A governance program establishes standards and processes to improve data accuracy, consistency, and reliability.
Compliance & Regulatory Risks
Organizations are required to meet various industry regulations (e.g., GDPR, HIPAA). A governance program helps ensure that data practices comply with legal and regulatory requirements, minimizing the risk of penalties and audits.
Data Silos
Data often gets stored in isolated systems, limiting its accessibility. A data governance program promotes data integration and standardization, ensuring seamless access and collaboration across departments.
Security Vulnerabilities
Poor data security can lead to breaches and data loss. Governance programs implement strict data handling, access controls, and monitoring, reducing the risk of unauthorized access and data breaches.
Unclear Data Ownership
Without clear ownership, data management responsibilities can become blurred. Data governance assigns roles and accountability, clarifying who is responsible for the quality, security, and lifecycle of data.
Difficulty In Data-Driven Decision Making
A lack of reliable and governed data can slow down decision-making processes. A data governance program ensures that decision-makers have access to trusted and actionable data to make informed business decisions.
Inefficient Data Usage
Without governance, data may not be fully utilized for insights. Data governance ensures that data is consistently and optimally used to derive maximum value from organizational assets.
Data Integration
Combining data from various sources and ensuring it can be used seamlessly across different systems is challenging. Data governance promotes standards and practices that facilitate data integration and system interoperability.
Data Lifecycle Management
Managing data throughout its entire lifecycle—from creation and active use to archival and eventual disposal—can be complex. A data governance program provides guidelines for data retention policies, archival procedures, and secure disposal methods.
Awards & Recognitions
Proof our data governance programs continue to excel.
Industries For Our Data Governance Program
We’ve got a team with experience in nearly any industry imaginable.
When it comes to data governance, Orases can assist all types of organizations through software and IT-related matters.
Typically We Are The Ones Doing The Talking When Consulting
Now our clients wanted a turn to do the talking.
Logan Gerber – Marketing Director at NFL Foundation
“Orases successfully built efficiencies into our prototype and delivered a high-quality platform.”
Matt Owings – President at Next Day Dumpsters
“They’re honorable, reputable, and easy to work with. They genuinely care about the outcome and want to do a good job.”
Donald J. Roy, Jr., CPA – Executive Vice President at American Kidney Fund
“Orases built a platform that’s boosted productivity by about 30%…”
Torey Carter-Conneen – Chief Operating Officer at American Immigration Lawyers Association
“Not only do they want to succeed, they strive to produce functionally and visually unique software.”
Frequently Asked Questions
For a foundational understanding of what to expect from data governance programs.
Why Is Data Governance Important?
Data governance is important because it enhances data quality, ensures regulatory compliance, reduces risks related to data breaches, and promotes efficient data management. It enables organizations to make informed decisions based on reliable data, ultimately leading to better business outcomes.
How Does Data Governance Relate To Data Management?
Data governance provides the policies and framework within which data management operates. While data management involves the technical execution of data-related tasks, data governance defines the rules and standards that guide those tasks.
How Can Data Governance Improve Data Quality?
By establishing clear standards, processes, and accountability for data management, data governance ensures that data is accurate, complete, and consistent. Regular data quality assessments and remediation procedures help maintain high-quality data.
How Often Should Data Governance Policies Be Reviewed?
Policies should be reviewed at least annually or whenever there are significant changes in regulations, business objectives, or technological advancements to ensure they remain relevant and effective.
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