Hire Data Governance Experts | Nearshore Software Development

Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems. You need an expert who can establish and enforce policies and procedures to ensure your data is a trustworthy and valuable asset. Our vetting process, powered by Axiom Cortex™, finds engineers and analysts who are masters of data governance. We test their ability to implement data quality frameworks, manage data catalogs, and ensure compliance with regulations like GDPR and CCPA.

Is your data a 'wild west' of inconsistency and poor quality?

The Problem

Without a data governance framework, your data can quickly become a mess of inconsistent formats, duplicate records, and poor quality, making it useless for analytics and decision making.

The TeamStation AI Solution

We vet for experts who can bring order to your data chaos. They must demonstrate the ability to establish data quality rules, implement data stewardship processes, and use data cataloging tools to create a single source of truth for your data.

Proof: Improved Data Quality and Trust
Are you at risk of non-compliance with data privacy regulations?

The Problem

Regulations like GDPR and CCPA have strict requirements for how you manage personal data. Failure to comply can result in massive fines and reputational damage.

The TeamStation AI Solution

Our engineers are proficient in data privacy and compliance. They are vetted on their ability to implement data governance policies and tools to ensure compliance with data privacy regulations, including data lineage, access control, and data masking.

Proof: Compliance with Data Privacy Regulations

Core Competencies We Validate

Data governance frameworks (e.g., DAMA-DMBOK)
Data quality management and tools
Data cataloging and metadata management
Data privacy and compliance (GDPR, CCPA)
Master Data Management (MDM)

Our Technical Analysis

The Data Governance evaluation focuses on the policies, processes, and tools for managing enterprise data. Candidates are required to design a data governance framework for a fictional company, demonstrating their understanding of the key components of data governance. A critical assessment is their ability to design a data quality program, including defining data quality rules and establishing a data stewardship process. We also test their knowledge of data privacy regulations and how to implement technical controls to ensure compliance. Finally, we assess their experience with data governance tools, such as data catalogs and MDM platforms.

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