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Data Governance

Unify your company’s data approach

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Compliance & Security

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Data Ownership & Stewardship

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Data Quality & Reliability

The Challenge

Many organizations lack processes for managing data effectively.

Nearly every aspect of an organization’s operations can be mined for actionable insights that, in turn, can be leveraged to drive business value. As a result, a growing number of organizations are ingesting massive volumes of data, volumes that can become unwieldy in the absence of a clear strategy for data governance.

A data governance program is comprised of formal policies and processes that govern how an organization classifies, organizes, analyzes, and secures its data — all while remaining compliant with any and all applicable regulatory regimes. A well-formed data governance plan integrates business, legal, and technological perspectives in a way that provides stakeholders across an organization with data experiences that are as seamless as they are secure.

 

CASE STUDY

Healthcare Analytics Firm

A national leader in healthcare analytics wanted to ensure risk-free adoption of its new big data platform. SEI guided the organization’s selection of technologies for ensuring data security, data lineage, and data classification, and helped create a data governance council to support and drive adoption of the new data platform.

Our Approach

Roll out data governance strategies without disruption.

Crafting and implementing a robust strategy for data governance is an immense task that often involves conducting a comprehensive assessment of an organization’s digital assets, data infrastructure, and business objectives. Regulations like GDPR, CCPA, HIPAA, and SOC 2 require organizations to know — and document — where their data is stored, how it’s secured, who has access to it, and more. The nuances inherent to balancing operational and compliance priorities mean that there is no one-size-fits-all solution to data governance, which is why SEI’s consultants craft a customized data governance plan for every client.

To minimize disruptions to an organization’s day-to-day operations and guard against data breaches and regulatory violations, we often advocate tackling the small but pressing components of data governance before attempting to implement an organization-wide governance program. This walk-before-you-run approach ensures an organization is able to continue operating at full force while steadily progressing toward a governance paradigm that will radically transform how the organization’s employees think about, own, and use their data.

 

CASE STUDY

Financial Services Firm

Business analysts at a consumer financial products and services provider were struggling to standardize their data governance practices, resulting in highly variable outcomes. SEI defined a data governance program strategy, designed a data governance organization, and instituted clear governance procedures.

The Results

Improved data quality at every level ensures sustainable growth.

A robust approach to data governance empowers stakeholders across an organization to access and extract the insights they need from the organization’s data. Above all else, undergoing a data governance overhaul will instill an organization’s employees and clients with a sense of confidence — in the reliability of the organization’s data, in the organization’s ability to take data-driven action, and in the security and compliance of the organization’s full slate of data operations.

With the right technologies and the right governance strategies in place, an organization can future-proof its operations and ensure continued progress for years to come. When done well, data governance facilitates higher fidelity of data, empowering employees to make the kind of data-driven decisions that move the needle in a significant way.

 

CASE STUDY

Multinational Bank

One of the world’s largest multinational banking and financial services firms purchased a distressed, U.S.-based mortgage originator and servicer in the midst of the 2008 mortgage crisis. SEI assessed the firm’s data management and data governance capabilities and created a roadmap for addressing high-priority requirements and risks.