MarkLogic World 2017 | Chicago

MarkLogic World is where business leaders and technologists gather to connect, learn, and discover how to get the most out of the world’s best database for integrating data. This year you’re invited to Chicago, Illinois to immerse yourself in keynotes, breakouts, courses, and workshops.

Why Attend?
Connect with the global MarkLogic community
Learn about the latest features and benefits
Discover best practices for success with MarkLogic

What’s the Schedule?
May 15 – MarkLogic University Courses*
May 16 – Keynotes and Breakout Sessions
May 17 – Keynotes and Breakout Sessions
May 18 – Workshops*
*Days 1 and 4 are intended for beginner and expert users that want additional training

What Will the Talks Cover?
We have an amazing line-up of speakers including executives from Fortune 500 organizations and top database engineers, all giving talks focused on data integration, security and data governance, infrastructure, and the cloud.

Who Should Attend?
We will have content intended for business leaders that are working on enterprise data integration projects, and technical content aimed at Developers, DBAs, Architects.


WI DAMA March 2 Event

Network with other Data Management Professionals and and hear Data Governance Case Studies from American Family Insurance, Walgreens and West Bend Mutual Insurance.

Location (Map)
West Bend Campus - Prairie Center Building
1900 S. 18th Avenue
West Bend, WI 53095

Agenda
8:00 to 8:45         – Registration, Breakfast & Networking
8:45 to 9:00         – WI DAMA Updates
9:00 to 9:30         – Sponsors
9:30 to 10:20       – Data Governance Journey at West Bend Mutual, Paul Pries, Director of Data Governance, West Bend Insurance

Abstract:  The data governance journey for West Bend Mutual began just a little over four years ago.  Paul Pries who leads the data governance organization will share the journey to date.  He will speak about what has been accomplished, lessons learned and what lies ahead for the data governance organization.  He will present how data governance has helped with their multi-year initiative to build a new policy administration platform as well as an Enterprise Data Warehouse.

Bio: Paul has worked in the property casualty insurance space for his entire career.  Paul has always held positions with a data focus.   Most recently he has spent the last four years as the Director of Data Governance for West Bend Mutual.  At West Bend, Paul leads a small team helping to implement Data Governance.  Prior to joining West Bend Mutual, Paul was a Data Quality Manager for QBE insurance.  While at QBE, Paul worked with a team of individuals to establish a Data Governance practice for the North America unit of QBE.               

10:20 to 10:30    – Break

10:30 to 11:20    – A Case Study:  Walgreens Boots Alliance Data Governance, Janet Lichtenberger, Director – Data Governance, Walgreens Boots Alliance

Abstract: The data governance organization at Walgreens Boots Alliance has evolved over the years, and has adapted repeatedly to a changing and globalizing organization.  In this case study, we will discuss the history of the program, and the ways that it has changed over the years.   We also review some of the ways we have adapted to change and globalization - strategies that have worked.  We will discuss how we have focused on keeping key data a priority, and bringing meaningful value to the enterprise.  In this session, we will share real world experiences, strategies and approaches to managing through continuous change.

Bio:   Janet Lichtenberger is a data management professional with over 20 years of experience. She has held a variety of roles, including data governance, program/project management, and client relationship management. She is a frequent speaker at industry conferences, is the V.P. of Operations for DAMA Wisconsin, and is the Director of Global Data Governance at Walgreens Boots Alliance.

11:20 to 11:30    – Break

11:30 to 12:20    – A Case Study:  American Family Insurance Data Governance, Lydia Reid, Information Standards and Governance Manager, American Family Insurance

Abstract: Lydia will share the history of data governance at American Family Insurance only with key areas of focus and how the function has evolved over time.  She will share successes and lessons-learned and plans for the future.

Bio: Joined American Family Insurance's new Enterprise Data Management department in November 2013 as AmFam’s first Metadata and Reference Data Manager. Lydia and her team have implemented and populated a centralized metadata repository tool for both technical and business metadata and created standards and processes to populate AmFam's common business vocabulary. She and her team also manage a reference data management ecosystem. At the end of 2015, Lydia took over the management of information governance and is now AmFam’s Information Standards and Governance Manager. 

Lydia spent the majority of her early career at the National Archives in Washington, DC where she was the product owner of the agency's first centralized, descriptive catalog for the nation’s federal and presidential historical records. While at the National Archives, she led the effort to establish metadata standards and represented the Archives on several national and international metadata standards' committees. 
Lydia has a BA and MA in History from Washington and Lee University and the University of Virginia, respectively. She also has a Masters in Library and Information Science from the University of Maryland.

12:20 to 1:00       – Lunch
1:00 to 2:00         – Data Governance Panel Discussion
2:00 to 2:15         – Wrap up


WI DAMA December 1 Event

Event Sponsor

Featured speaker: Melanie Mecca

Featured speaker: Melanie Mecca

Location

Kohl's Innovation Center - Training Rooms
W165 N5830 Ridgewood Drive
Menomonee Falls, WI 53051

Agenda

8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - Featured speaker
Noon to 12:15 - Wrap up

Data Management Maturity (DMM) Synthesizes Your Career

Our industry is continually building capabilities based on its considerable accomplishments over the past decades.  Some of the (roughly) sequential milestone markers that organization have experienced include: data design, data administration, data architecture / warehousing, data quality and governance, MDM, and predictive analytics using both structured and unstructured data. 
So why haven’t organizations attained DM perfection?  As we know, the data layer in most organizations grew project by project to meet specific needs of a line of business. Best practices were not often shared, useful work products languished in project repositories, etc. – and above all, organizations didn’t commit to managing data as a critical enterprise asset.  As this situation improves, you can be a successful advocate for ‘A Better Data World.’ 

The Data Management Maturity (DMM)SM Model’s primary goals are to accelerate organization-wide DM programs by:  providing a sound reference model to quickly evaluate capabilities, strengths and gaps; accelerating business engagement; forging a collaborative vision; and identifying key initiatives to extend existing capabilities while building new ones – leading to efficiency, cost savings, creativity, and improved data quality.  

In this seminar, we’ll address:
•    Data Management Capabilities and Maturity Evaluation
•    The DMM in action – interactive exercise
•    Case study examples – how organizations accelerate their progress
•    How to leverage Data Management Maturity to empower your career. 

Ms. Mecca, CMMI Institute’s Director of Data Management Products and Services, is the managing author of the Data Management Maturity (DMM) SM Model.  Her team created a business-centric method for assessing an organization’s capabilities via the DMM, and she leads Assessments for organizations in multiple industries.  Ms. Mecca directed development of three successive courses leading to the Enterprise Data Management Expert certification, and web-based learning.  She frequently presents at conferences and webinars, and is a contributing columnist to The Data Administration Newsletter. Based on 30+ years solving enterprise data challenges, Ms. Mecca advocates measurement of data management capabilities as the best acceleration path for empowering governance, achieving business value, and advancing the organization’s business strategy. 


WI DAMA September 22 Event

Agenda:
8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - Tony Mazzarella, Death Star II - Too Big to Fail
Noon to 12:15 - Wrap up

Description: 
The Death Star II was a "Too big to fail" project that, you all (hopefully) know failed miserably. Like many large projects, it faced many issues : Management pressure to rebuild after the destruction of the first Death Star at the Battle of Yarin, Project management failures that put the project over budget and behind schedule  and  perhaps most critically (as this data professional would argue), significant failures in Data and Enterprise (Imperial) Information Management. In this case, the impacts were quite literally 'universal' and came at a cost of an estimated 485,000 lives and 1,000,000,000,000 galactic credits (currency).

This real world case study of the fictional Death Star II serves as a relevant  example of the criticality of Data Management, Information Security and Enterprise Information Management in large enterprise initiatives.

Bio: 
Tony Mazzarella is currently serving his second term as VP of Online Services for DAMA International, a role he also holds with his local DAMA New England chapter. Most of Tony’s 15+ year career has been in the digital space as a developer, strategist and more recently, as an executive. In 2015 Tony made a conscious decision to pursue a more formal enterprise data career path, one that could leverage his technical and leadership background. Shortly after he found his current role as a digital analytics service manager, architect, data governance lead and data steward in the financial services industry.  His specialized team provides advanced digital analytics strategy and support, KPI’s and measurement to dozens of business and application teams across the enterprise. Tony loves to geek out at industry events and is a sought after speaker on digital strategy, data management and analytics. When he’s not in front of a computer or a PowerPoint, he’s at home in Connecticut with his 3 kids and 2 step kids, listening to music and enjoying a high-quality microbrew.


WI DAMA JUNE 7 EVENT

Featured speaker, Don Soulsby.

Event Sponsors:

Integrating the Business Glossary into the Data Management Lifecycle

You Say Info, I say Data… We can’t call the whole thing off
-    The search for the elusive Critical Data Element

As the old song goes “You say to-moh-toe, and I say to-mah-toe”, but unfortunately Business and IT can’t afford to call the whole thing off. There is an ever increasing need to develop a process that can find data using the vocabulary of the business.

How many times have you seen in the objectives section of the charter of a Data Governance Council words similar to the following – “We will create, maintain and secure our Critical Data Elements with a high degree of quality”. So of the 14,000 attributes in a typical enterprise, which ones are critic data elements? Attributed to Peter Drucker is the flowing quote– “you can’t manage what you can’t measure”. Well, you can’t measure what you find, or define.
Some of the key challenges that organizations face with their data environments are:

  • Little or non-existent documentation of data structures in business terminology
  • Multiple definitions in multiple data stores lead to information inaccuracies
  • Inability to predict the cost and effect of changes from either internal or external stimuli
  • Lack of standards for the definition of business terms and data structures

The presentation will framework of a Data Governance (DG) Ecosystem that outlines the relationship between the business definition of information and the data definitions. We will also review the process to identify and link Critical Data Elements across the DG ecosystem to provide complete traceability.

Mr. Soulsby is Sandhill Consultants Vice President Architecture Strategies. His practice areas include strategic and technical architectures for data management, metadata management, and business intelligence. Mr. Soulsby has held senior professional services and product management positions with large multi-national corporations and software development organizations. He has an extensive background in enterprise architecture and data modeling methodologies. He has over 30 years of experience in the development of operational and decision support applications. He is completing his qualification as an Enterprise Data Management Expert (EDME) with the CMMI Institute. Mr. Soulsby is an excellent communicator and has taught metadata, data modeling and data warehouse courses through public offerings and onsite engagements to corporate clients. Mr. Soulsby is a recognized thought leader who speaks regularly at international industry events, MIT CDO Conferences and DAMA functions.

Click here to register.


WI DAMA March 10 Event

     

John-Ladley.png

Featured speaker, John Ladley, world renowned Information Technology Thought Leader, Author, and International Speaker.

Slides: click here.

Meeting Sponsors:
MarkLogic - http://www.marklogic.com/
WANdisco - http://www.wandisco.com/home

Agenda:
8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - John Ladley, President , Chief Delivery Officer, First San Francisco Partners, presenting “Business Led Data Governance (Or How to Pivot DG from IT to the Business)
Noon to 12:15 - Wrap up

Topic: Business Led Data Governance (Or How to Pivot DG from IT to the Business)

A key success factor for Data Governance has been good business sponsorship.   However, we are evolving rapidly away from business-sponsored Data Governance to business-led Data Governance.

This is not simple word interpretation or semantic discussion. This is a crucial pivot in how Data Governance is operated .  This tutorial will review the DG deployment process from a pure business view, and focus on how to pivot DG away from IT-led to business-led.

·         Practical alignment of DG to business needs
·         Creation of DG oversight bodies and offices
·         Operating DG away from the data manager

Bio: John Ladley is a Business Technology Thought Leader with 30 years experience in planning, project management, improving IT organizations and successful implementation of information systems.  John Ladley is a recognized authority in the design and implementation of data strategies, business intelligence and Enterprise Information Management.

John is widely published, co-authoring a well-known data warehouse methodology, and a trademarked process for data strategy planning. His books, Making EIM Work for Business – A Guide to Managing Information as an Asset and Data Governance: How to Deploy and Sustain a Data Governance Program, are recognized as authoritative sources in the IM field. He frequently writes and speaks on a variety of technology and enterprise information management topics. His Information Management experience is balanced between strategic technology planning, project management and practical application of business problems.

Specialties: Recognized authority and speaker on enterprise information management, information architectures, data governance, MDM, data quality, BI and Analytics, business intelligence, data warehouse and knowledge management. Has extensive experience in insurance, financial services, manufacturing, transportation and consumer products industries. His books are becoming the authoritative sources for Information Management and Data Governance. John is currently examining the role of Chief Data Officer and assisting several organizations with data strategies.