Business

How To Launch A Successful Master Data Management Initiative

Published

3 years ago

January 5, 2023

Adding master data management (MDM) to your business’s digital transformation journey is an excellent way to reduce duplication errors and improve data accuracy. While there are many advantages to using MDM within your company, launching a successful initiative can be intimidating. To learn more about establishing a successful MDM initiative, check out the following steps:

Establish Clear Goals

If your team isn’t sure what your data is intended to do, it will be difficult for your organization to be successful. Effective master data management requires clearly-defined goals and objectives that articulate how MDM will help your organization reach its desired end state. Take time to consider your team’s data goals and establish specific objectives.

Your company’s goals should be well-defined and created in collaboration with stakeholders. This collaboration throughout the company will ensure everyone is on the same page and can work together to achieve a successful initiative.

Create A Data Governance Model

It’s crucial to develop an organized system for your master data management initiative, so it’s best to create a data governance model to ensure data accuracy and consistency. This model should include a detailed data strategy management plan, including roles and responsibilities.

Data governance models usually involve appointing a leader responsible for managing the initiative and ensuring that it adheres to established policies and procedures. Additionally, this model should outline how team members can access and use the data and how it will be maintained and updated over time.

Define Metrics And Measure Progress

The success of your MDM initiative should be measured quantitatively, meaning you should develop a list of metrics that define improvements in the accuracy and consistency of your data. Defining these metrics will help you track your progress and make necessary changes to ensure the initiative is successful.

It’s important to note that metrics are not only used for measuring success but can also be used to identify areas where more work is needed. By regularly assessing your data management initiative, you’ll be able to make improvements and more accurately measure progress.

Test Your Data

It’s essential to test your data to ensure that it is accurate and complete. Use automated processes such as data validation, checksums, and other testing methods to ensure your data’s accuracy before it goes live. Testing will help you avoid costly mistakes due to inaccurate or incomplete data.

Once you have successfully tested your data, it’s time to move forward and launch the initiative. Be sure to communicate any changes clearly, and ensure that the team is all on board with the new system before launching.

Monitor And Adjust

Master data management initiatives are not set in stone and should be monitored regularly to ensure that they continue to meet your organization’s needs. Monitor the metrics you established during the initial launch phase and adjusted them as needed. Keeping a close eye on data will help you stay on top of any changes or trends and allow you to adjust the initiative if it becomes ineffective.

Additionally, don’t be afraid to learn more about your data. Make changes or adjust the initiative as needed. If specific goals aren’t being met or the data is not performing as expected, consider making adjustments to help your team get back on track.

Establish Ongoing Maintenance

Finally, it’s crucial to establish a process for ongoing maintenance to ensure your data’s accuracy over time. This plan should include designing strategies that will streamline the maintenance and update of master data, such as automating specific tasks or setting up alerts when changes need to be made. By establishing a process for ongoing maintenance, you’ll be able to ensure that your data remains accurate and up-to-date.

Ongoing maintenance also requires regular audits to ensure that any changes made do not negatively impact the data. Establishing a risk management process can help you identify and address potential issues before they become too large.

Final Thoughts

By following these steps, you’ll be able to create a successful master data management initiative that will help your organization make the most of its data. A well-managed MDM initiative will ensure that your data is accurate, complete, and up-to-date – all of which are essential for making informed decisions and running a successful business.

Business

Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi

Published

5 days ago

April 1, 2026

Matthew Wiles

Photo Courtesy of: YesLawyer

Byline: Andi Stark

For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.

Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system

Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?

A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.

Q: How does the process work once someone contacts the platform?

A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.

Q: Where does artificial intelligence fit into that process, and where does it stop?

A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.

Q: What problem is this model trying to solve in the current legal system?

A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.

Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?

A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.

Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?

A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.

Q: Does this model risk favoring only the most profitable cases?

A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.

Measuring Impact Over Time

YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.

The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.