There are several approaches to implementing a Data Governance program. Selecting the best approach for your organization depends on earlier attempts to govern your data, the culture or the way things have always been and the willingness to change behavior associated with managing data and information. The approaches to Data Governance include 1) A command-and-control approach, 2) A traditional approach and 3) A non-invasive approach to governing data. There are BIG differences between the three. This session will provide a framework of evaluating which approach to Data Governance is right for your organization.

About Robert S. Seiner
Bob is very involved in the industry of Data Governance and Data Management in general. Besides his consultancy KIK Consulting, and his popular on-line publication TDAN.com, Bob holds a monthly webinar series with DATAVERSITY, provides on-line classes through DATAVERSITY, and speaks about his approach to Data Governance regularly at conference and events around the world.

Is your Data Governance (DG) program working? Are executive sponsors and key stakeholders happy? Have you translated your program’s data value into business value? How do you know? When it comes to quantifying DG success, metrics can help you establish a baseline, track your progress against goals, align expectations and even defend change (or additional funding!).

In this session, Kelle will provide tips and best practices for:
- Understanding why metrics are important and how to create them
- Identifying a list of example metrics to consider (including progress metrics and true KPIs)
- Communicating effectively with stakeholders to maintain alignment and commitment
- Implementing a measurement process focused on creating business value

About Kelle O'Neal
Kelle O’Neal has played important roles in many of the groundbreaking initiatives that confirm the value of MDM to the enterprise. Recognizing an unmet need for clear guidance and advice on the intricacies of implementing MDM solutions, she founded First San Francisco Partners (FSFP) in early 2007. Under her leadership, FSFP immediately established a reputation as the first-call resource for companies looking to tap the value of Enterprise Information Management (EIM), MDM and Data Governance. Kelle developed her ability to work through organizational complexity, build consensus and drive results in senior roles at companies such as Siperian, GoldenGate Software, Siebel Systems and Oracle. She earned her BA from Duke University and holds an MBA from the University of Chicago, Booth School of Business.

This presentation will focus on practical approaches to implementing a governance structure for Big Data. Carolinas HealthCare System is piloting a HDInsight HADOOP implementation on Microsoft Azure.

We will discuss the following:
- Where to govern the data?
- Is the Data Lake a playground, incubator for innovation or an Operational Data Store?
- What factors to consider before tiering, segregating, or restricting data?
- What tools are available or do you develop your own?
- How do you protect Intellectual property when working with third parties?

About Shannon Fuller
Shannon Fuller is the Director of Data Governance for the Carolinas HealthCare System, where his primary responsibility is to design and implement a Data Governance Program. As leader of the Data Governance Office, he is charged with ensuring data is treated as a corporate asset that is owned, managed and controlled; in turn, this leads to trusted, high quality data and accurate reporting across the Carolinas HealthCare System. Additionally, Shannon received one of the highest speaker ratings for his presentation at the 2016 DGIQ Conference.

Some of the most common questions surrounding a Data Governance Framework are questions relating to the Data Steward and the strategies behind Data Stewardship. How should a company define the role of the Data Steward? Who in the organization should be a Data Steward? How many Data Stewards should be established? Join this keynote to hear best practices in designing and implementing Data Steward strategies.

About Fawad Butt
Fawad Butt is the Chief Data Governance Officer and Executive Director at Kaiser Permanente. He is experienced in successfully developing and maturing information and Data Management organizations and executing programs designed to enable capabilities around Data Governance, Data Quality, Master Data Management, Data Strategy, Data Analytics and Innovation Management.

In his role at Kaiser Permanente, Fawad is responsible for building out a consistent Data Governance and Data Quality framework and the associated organizational structures. Additionally, his team is responsible for defining best practices for the governance of Master Data Management repositories, Data Lakes, Enterprise Data Warehouses, Operational Data Stores, and Analytics Sandboxes.

Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any Data Governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data Models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable Metadata these models provide, Data Governance often lacks the “teeth” to be applied in operational and reporting systems. Join Donna Burbank as she discusses how Data Models and Metadata-driven Data Governance can be applied in your organization.

About Donna Burbank
Donna Burbank is a recognized industry expert in information management with over 20 years of experience in Data Management, Metadata Management, and Enterprise Architecture. She currently is Managing Director of Global Data Strategy, an international Data Management consulting company. Her background is multi-faceted across consulting, product development, product management, brand strategy, marketing, and business leadership, and she has co-authored two books: Data Modeling for the Business and Data Modeling Made Simple with CA ERwin Data Modeler r8.

This session will focus on establishing a Data Privacy program in alignment with Data Governance.

The following topics will be covered:
- Identifying applicable regulations (e.g., GDPR, HIPAA)
- Prioritizing Critical Data Elements
- Establishing acceptable use standards
- Developing Data Sharing Agreements
- Aligning with Legal, Regulatory Compliance and Privacy departments
- Monitoring and enforcing compliance

About Sunil Soares
Sunil Soares is the founder and managing partner of Information Asset, a consulting firm that specializes in helping organizations build out their information governance programs. Prior to this role, Sunil was the Director of Information Governance at IBM, and worked with clients across six continents and multiple industries. He is the author of several books including The IBM Data Governance Unified Process, Selling Information Governance to the Business, Big Data Governance, Data Governance Tools, The Chief Data Officer Handbook for Data Governance, and The Data Governance Guide for BCBS 239 and DFAST Compliance. Sunil also holds an MBA from the University of Chicago.