Raising the Information Management Maturity Curve
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  William McKnight   William McKnight
McKnight Consulting Group


Tuesday, April 4, 2017
08:30 AM - 09:45 AM

Level:  Business/Strategic

An increase in data maturity correlates to an increase in business success.

Maturity frameworks have varying levels of data management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective data management program. Maturity frameworks are also a wealth of ideas for key quick wins to benefit the organization’s data management program.

While many organizations allocate budget to projects, the execution of the data projects (data warehouse, master data management, big data, analytics) provides innumerable decision points every day. It doesn’t take longer to make the best long-lasting decision. It takes know-how.

Attendees will self-assess their current data management capabilities as we go through data strategy, data governance, data architecture, program operations, methodology, and technology selections, yielding an organizational view of the current level of data management maturity.

The goal is to provide a foundation for enhancing current capabilities and updating the strategy and plans for achievement of improved data management maturity, aligned with major initiatives.

William McKnight is President of McKnight Consulting Group (www.mcknightcg.com). He is an internationally recognized authority in information management. His consulting work has included many of the Global 2000 and numerous mid-market companies. His teams have won several best practice competitions for their implementations, and many of his clients have gone public with their success stories. His strategies form the information management plan for leading companies in various industries. William is author of several books including “Integrating Hadoop" and “Information Management: Strategies for Gaining a Competitive Advantage with Data." He has authored benchmarks on Hadoop and Cloud Databases and published the GigaOM Sector Roadmap on Analytic Cloud Databases. He has published over 25 white papers, and his blog has been syndicated for many years. William is a very popular speaker worldwide, having given well over 100 days of training on diverse data subjects NoSQL, Graph Databases, Data Governance, Data Architecture, Data Return on Investment, Agile Methodology, Organizational Change Management, and Master Data Management. William is a mentor in information for a startup accelerator. William has taught at Santa Clara University, UC-Berkeley, and UC-Santa Cruz, and has consulted in over a dozen countries. He provides clients with strategies, architectures, platform and tool selection, and complete programs to excel with information.

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