Blog: Kelle O'Neal Thanks for joining our data conversation! This blog is an opportunity to share the real life challenges, opportunities and approaches to improving the quality and value of data in your organization. We will write about everything data related from translating "data" speak into "business" speak, to governance models, to the real differences among the myriad software tools available. But there's one catch: we all have to agree to toss out the fluff. That's right, no 30,000 foot, theoretical strategies that leave you wondering how to execute and actually improve performance. Visit regularly to learn from peers and partners on how they are managing and improving data, and we hope you'll also share your views and experiences. Copyright 2017 Mon, 22 Feb 2016 22:00:00 -0700 Going Beyond Business Sponsorship to Achieve Program Sustainability and Success Sponsorship can mean different things to different organizations. Often there is no clear understanding of what the role of Business Sponsor entails, and this may present a very real challenge. When success evades a new data management program, it may be because the sponsor has missed the mark and failed to progress the program to a point of sustainability. Mon, 22 Feb 2016 22:00:00 -0700 The Importance of a Communication Plan to Maintain Stakeholder Commitment Whether your data governance program has been recently deployed or has already matured into a going concern in your organization, consistent and impactful communication plays a critical role in translating data value into business value. Sun, 22 Nov 2015 04:15:15 -0700 Best Practices to Address Common Pitfalls to Data Governance Having previously identified common pitfalls to data governance, let's now look at some best practices you'll want to adopt in each case to help you get back on track or avoid falling into that trap in the first place. Sat, 21 Nov 2015 04:00:59 -0700 5 Pitfalls to Avoid When Governing Data Understanding the pitfalls that have typically plagued organizations pursuing data governance will help you plan ahead to avoid them. Wed, 14 Oct 2015 13:52:53 -0700 How to Create Meaningful Metrics to Measure the Real Impact of Data Governance A practical overview on how to determine the real impact of a Data Governance program with meaningful metrics. Tue, 13 Oct 2015 22:27:13 -0700 10 Tips for Activating People to Embrace Data Governance Organizations will have the greatest chance of success in getting people to adopt data governance if they focus their efforts on ensuring data governance awareness, data ownership and accountability for actions. Tue, 22 Sep 2015 15:51:29 -0700 Identifying the Right People for Your Data Governance Organization Now that you've identified and articulated the specific roles and responsibilities that will best address your company's unique data needs and priorities, the next step is to assemble a team of people capable of making the right decisions about data and identifying business challenges that can be addressed using that data. Mon, 21 Sep 2015 08:30:22 -0700 4 Key Factors for Data Governance Success There are a number of factors that have been shown to play key roles in the success of a data governance initiative. In this post, we will explore these four: Executive sponsorship Leadership alignment Communication Stakeholder engagementExecutive SponsorshipAs the factor most often identified as the greatest contributor to the success of a change management program*, having the right executive sponsorship ensures that stakeholders impacted by a data governance implementation receive the necessary guidance to transition efficiently and effectively through the... Mon, 24 Aug 2015 12:03:30 -0700 8 Data Governance Design Principles We share our Top 8 DG Design Principles to help you ensure the success and sustainability of your program. Thu, 20 Aug 2015 09:24:16 -0700 Organizational Change Management for Data Governance Success and Sustainability If you find your organization repeatedly going through the process of initiating a data governance program or your efforts just seem to fall flat, let me share with you why success may be eluding your organization and what can be done about it. Fri, 14 Aug 2015 17:50:26 -0700 Identifying the Right Operating Model for Your Organization: A Step toward Sustainable Data Governance A critical step in DG design is identifying the best-fit operating model for your organization...Here's a high level overview of the pros and cons of the Centralized, Decentralized, Hybrid and Federated model types to aid in assessing your own organization. Mon, 27 Jul 2015 16:39:32 -0700 What Is the Relationship between Data Architecture and Data Governance? A client recently asked me this, and I thought it was a great question!Data Architecture and Data Governance support each other in a variety of ways, with the mutual goal of creating standards and guidelines to support the enterprise in increasing operational efficiency, decreasing costs and mitigating risk. Data Governance Supports Data ArchitectureThere are policies/principles that are designed and enforced by the overall architecture group to ensure best practices are followed for new technology implementations. The Data Governance Team... Wed, 26 Mar 2014 17:00:00 -0700 Data Challenges as You Face UDI Regulation? Here Is One Approach UDI regulation is driving the need for medical device companies to revisit their own data management approaches... Fri, 19 Jul 2013 05:30:00 -0700 Part 3: Data Governance Organization Decisions for MDM Success In the last blog post, we discussed the first four elements a data governance organization (DGO) needs to consider in planning for and implementing a master data management (MDM) strategy. They included:Entity TypesOwnership and AccountabilityPolicies, Processes and StandardsData Integration (Inbound and Outbound)In this blog post, we'll address the remaining five considerations:Service Level AgreementsData QualityMatch and Merge (Survivorship)User Interface and SecurityGeneral MaintenanceService Level AgreementsService Level Agreements (SLAs) guide the standards and set expectations regarding the quality of service provided by the... Thu, 14 Mar 2013 07:30:00 -0700 Part 2: Data Governance Decisions for MDM Success In part one of this series, we covered the importance of setting up a data governance organization. Now let's identify and review the types of decisions made by this organization.During the requirements gathering phase of a master data management (MDM) implementation, the data governance organization (DGO) is involved in defining the scope of requirements for data that will be managed in the MDM hub. Several categories need to be considered, including:Entity TypesOwnership and AccountabilityPolicies, Processes and StandardsData Integration (Inbound and... Fri, 22 Feb 2013 17:27:24 -0700