Noreen Kendle, Principal Consulting Analyst
Noreen Kendle is a Principal Consulting Analyst with TechVision Research. She is a recognized leader in the field of Information-Data Strategies, which includes Information Asset Management, Data Governance/Information Ownership, Information Policies & Standards, Business Data Architecture, Meta-Information, Enterprise Data Design, Information Quality, Data Valuation, Enterprise Foundational Data, Data Globalization, and Business Intelligence Strategies.
She has held enterprise information leadership and practitioner positions within large global organizations for over 30 years including Delta Air Lines, AT&T, Masco, Travelport, and The Home Depot, as well as data industry consultant/advisor for Gartner and Burton Group.
Noreen has been instrumental in the development of Enterprise Information and Business Data Architecture Frameworks, as well as their implementation in support of the management of information-data as a corporate asset. As an innovative thought leader of Enterprise Information-Data Strategies she holds a patent and is a respected speaker/author.
She also provides acclaimed workshops on all aspects of information architecture and data strategies including planning, roadmaps and governance.
- Data governance and architectures
- Enterprise Architecture (EA)
- Business Data Architecture (BDA)
Recently Published Research
Fixing the Fundamentals - The Business Blueprint
Data - The Fundamentals are Broken
In this report we have identified the broken fundamentals of data and five basic steps organizations can take to address these broken fundamentals. These include: establishing the business to data connection; using a business blueprint; creating a data oversight framework; establishing an enterprise data construction practice; building the data asset management infrastructure; and, standing-up a data asset management practice focused on enterprise foundational data. In the end, if organizations do not fix the fundamentals, they will never be able to effectively clean, identify, integrate, manage, and utilize their data assets for even basic operations, let alone take advantage of the full power of those assets for true business intelligence, risk avoidance, predictive analytics, artificial intelligence, and data monetization. Information is truly powerful, but only if the data is right.
TechVision CrossTalk Report: Identity and Data Governance
- The evolution of identity data as its own domain
- The impact of silos on identity data management
- The potential of virtual directories as an identity data management approach
- The impact of data reuse on identity and the resulting authenticity decay
- Identity data governance: is built on a foundation of quicksand
There are things organizations can be doing today to address these concerns. Specifically, this report discusses a five-step program for identity data governance based upon the team’s experience working with data and identity in F1000 enterprise.
Fixing the Fundamentals –Data Strategy
- How to define an enterprise data vision and know what one looks like
- How to develop a Data Oversight Framework and the infrastructure to support it
- How to combine the Data Oversight Framework and data vision to establish a successful, sustainable and defensible data strategy
- Experience defining and implementing data strategies at Fortune 500 companies
Fixing the Fundamentals - Data Asset Management
- Establishing the difference between getting the data right and keeping it right
- The steps to creating a Data Asset Management Framework including the tools required to manage data as a strategic business asset
- Examples of successful Data Asset Management Frameworks
- Lessons-learned and best practices establishing Data Asset Management Frameworks at Fortune 500 companies
Fixing the Fundamentals –Data Design Practice
- How to make the decision when to continue to invest in legacy data architecture and design and when to shift the focus to future data systems
- How to change data design practices that are entrenched in the organizational zeitgeist and retool to get the data right
- How to develop a proactive data design practice covering the identification, architecture, design and deployment of data structures/systems
- How to use the Business Blueprint as the foundation to achieving enterprise-wide data consistency
- Using the data infrastructure as a vehicle to integrate, manage, secure and leverage the organization’s data assets