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Use our simplified approach to give your data users access to reliable and trusted information—exactly when they need it—so they can apply appropriate data insights to their decision-making.
With a data strategy focused on iterative data governance, this healthcare giant started with metadata management to foster enhanced trust in their data. They standardized data definitions and established clear data lineage—setting them up for sustained growth built on high quality data.
Our “right-fit” approach to data governance is centered on simplifying the complicated realm of data governance. We work with our clients to make data governance approachable and achievable – and something that creates tangible value in phases.
For a data governance program to be successful, it should realistic – it should match your company’s needs, size, urgency, maturity, and capabilities. Your data governance program should align with your data strategy, making sure that data governance blends into everyday operations, and it should be designed to scale with your needs.
Data governance should be an ongoing investment, not a project with start and end dates. We believe in a “just enough” approach to data governance that provides incremental value and promotes growth. As data governance activities expand and more people take on data governance responsibilities, each new component should be assessed and formally integrated into your program.
Establishing the right people and processes is critical and provides immediate value, long before implementing a tool. Come time to invest in technology, we assess our clients’ existing tools and utilities that can be leveraged for data governance and ensure all new technology is intentionally implemented to avoid unnecessary spend.
Whether you are creating a data governance program from scratch or looking to mature your existing program, we will work with you to make your data and analytics more accessible, trustworthy, and actionable to the organization.
We will make sure your data governance program is designed to be adopted. Starting with your organizational readiness, we will help you understand where gaps exist in your processes and people and then create an all-encompassing enablement plan. We specialize in education and training, change management, policies and procedures, and all aspects of organizational readiness.
We will help you give meaning and definitions to all the data assets in your organization through the selection and implementation of data governance tools and utilities, including a data glossary, data dictionary, data catalog, and data lineage. Depending on your analytics maturity, we will help you determine which artifacts are necessary and a practical plan for building and maintaining.
In addition to ensuring you have the processes, standards, and policies in place to effectively govern data across all stages of the data lifecycle—we specialize in master data management so that your organization’s most critical data is centralized and trusted.When it comes to emerging AI software, we take it seriously – adhering to laws and regulations and upholding ethical use of data.
When you commit to data governance, you need to know that your efforts are resulting in more strategic decisions driven by higher-quality data. We will work with you to establish data quality rules, define success criteria, implement technology, and automate your processes. We also design data quality programs that establish company-wide rules and procedures to ensure trusted data.
We will help define corporate AI policies around acceptable use, data usage, and ethics to ensure corporate data remains secure and is used ethically.
Achieve regulatory compliance without the dread. We’ll help you navigate the complex landscape of regulatory requirements and help you classify, store, and manage your data in compliance with regulations such as GDPR and CCPA, avoiding fines and protecting your reputation.
We answer common questions such as how to get stakeholder buy-in for data governance, where to start, what tools help with implementation, and more.
How can I get stakeholder buy-in for implementing data governance?
Answer: Your stakeholders need to know what’s in it for them. Consider the following to ensure they remain engaged with your data governance initiatives:
Where do we start with data governance?
Answer: Implementing a data governance program can initially appear daunting, but with an iterative and tailored approach, your organization can simplify the process without minimizing impact.
Here’s a breakdown of how we determine a good starting point:
How does technology assist in implementing an effective data governance program?
Answer: While technology plays an important role in enhancing the management and utilization of your organization’s data assets, success starts with establishing the right combination of people and processes — before tool implementation.
When it comes time to invest in technology, our approach is distinct: we assess our clients’ existing tools and utilities for leverage in data governance, ensuring that any new technology is purposefully introduced to avoid undue expenses. Our priority isn’t to impose technology but to discern its necessity. If technology is deemed crucial, we guide our clients in selecting and deploying the most suitable tool for their specific needs.
Technology in data governance can be powerful because it aids in:
Our offerings range from helping you kickstart a data governance program to planning for expansion, enablement, and even filling key roles of your data governance program.
We will launch data governance programs that deliver immediate ROI and demonstrate the potential for future growth, laying the groundwork for an enterprise-wide program.
After establishing the groundwork, we can broaden the scope to other operational areas. We are experienced in engaging a wider audience and ensuring successful outcomes.
We do not impose technology on our clients. If we conclude that technology is necessary, we will help you select and implement the appropriate tool to meet your need.
Our team of experts are prepared to help you implement a tailored approach to enable your organization.
Our change management approach focuses on data literacy, orientation, and training to shift your culture to one which embraces and thrives with governance.
A guided session where we help you identify the most crucial use cases, determine immediate impact, and prioritize work that delivers the best results quickly.
Data governance breeds higher quality — and more secure — data and creates transparency into data processes across the organization.
Gain more trust in your data through data quality standards and processes, such as an inventory of data quality rules, established thresholds for data quality metrics, a regular cadence of quality metric reviews, and a defined process for root cause analysis and resolution for data quality issues.
Ensure the security of your data with defined data security sensitivity levels, rules for sensitive data and regulatory compliance, definitions for user roles, and defined polices for data exchange between systems, vendors, partners, and employees.
Provide clarity across the organization with documented data processes and procedures; a complete inventory of databases, tables, and columns; owners and stewards assigned to data subject areas; and defined data lineage for operational data integrations and ETL.
Since 2002, we’ve been driven forward by one mission: transforming organizations with powerful data and analytics.
Our Data Governance Team consists of recognized and published thought leaders who are passionate about enabling data governance. We have worked with hundreds of companies with varying levels of maturity–from helping establish basic data governance principles and policies to implementing full-scale enterprise data governance for Fortune-level companies.
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