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Data-Ed Online Webinars


Data-Ed Online is our series of monthly data management webinars that focuses on how to unlock business value through data management practices and techniques. These complimentary webinars are taught by thought leader Peter Aiken, Ph.D. and brought to you in collaboration with our partner DATAVERSITY. All webinars consist of a 60-minute presentation, followed by a 30-minute interactive Q&A session and are generally scheduled for the second Tuesday of every month from 2:00 PM ET to 3:30 PM ET (11:00 AM PT to 12:30 PM PT).

Implementing the Data Management Maturity Model (DMM) – Within, Without, With-Shake-It-All-About

May 9, 2017

The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. This model—based on the Capability Maturity Model pioneered by the U.S. Department of Defense for improving software development processes—allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and identify strengths to leverage. In doing so, this assessment method reveals organizational priorities, business needs, and a clear path for rapid process improvements.

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Data Governance Strategies – With Great Power Comes Great Accountability

June 13, 2017

Much like project team management and home improvement, data governance sounds a lot simpler than it actually is. In a nutshell, data governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, data governance directs how all other data management functions are performed, meaning that much of your data management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective data management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.

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Monetizing Data Management – Show Me the Money

July 11, 2017

Practicality and profitability may share a page in the dictionary, but incorporating both into a data management plan can prove challenging. Many data professionals struggle to demonstrate tangible returns on data management investments, especially in industries such as healthcare where financial results aren’t necessarily an organization’s primary concern. The key to “monetizing” data management, therefore, is thinking about data in a different way: as an information solution rather than simply an IT one, using data to drive decision-making towards increased profits and potentially alternative returns on investment or value outcomes as well. Taking a broader view of data assets facilitates easier sharing of information across organizational silos, and allows for a wider understanding of the investment’s requirements and benefits.

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Data Structures – The Cornerstone of Your Data’s Home

August 8, 2017

To co-opt an old adage: “If data gets lost and no one knows where to find it, does it still take up hard-drive space?” In the interest of avoiding that unfortunate philosophical end, individual data structures enable sorting, storage, and organization of data so that it can be retrieved and used efficiently. Applying the correct data structure to different types of data—whether master, reference, or analytics—allows your organization to tailor its data management to fit its unique business needs.

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Implementing Big Data, NoSQL, & Hadoop – Bigger is (Usually) Better

September 12, 2017

From its widespread formal business practice to the scope of casual popular awareness, “Big Data” has a tendency to live up to its name. Featured in countless headlines, journal articles, and industry reviews, Big Data metrics and methods such as NoSQL and Hadoop have taken up plenty of the spotlight as of late. However, most of what has been written about these topics is focused on the hardware, services, and scale-out involved with them, a misguided focus that ignores the critical questions driving any shift in corporate strategy: what can Big Data do for you? Which approach to it best fits your organization? And perhaps most importantly, what is required on your end in order to spur a successful implementation process?

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Data Quality Strategies – From Data Duckling to Successful Swan

October 10, 2017

Good data is like good water: best served fresh, and ideally well-filtered. Data management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of a high quality. Determining how data quality should be engineered provides a useful framework for utilizing data quality management effectively in support of business strategy, which in turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in data management, and proactive prevention of future issues.

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The Seven Deadly Data Sins – Emerging from Management Purgatory

November 14, 2017

While wrath and envy are best left for human resources to address, overcoming the numerous obstacles that often inhibit successful data management must be a full organizational effort. The difficulty of implementing a new data strategy often goes underappreciated, particularly the multi-faceted nature of the challenges that need to be met. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data.

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Metadata Strategies – Data Squared

December 12, 2017

The first step towards understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many data management disciplines inherent in good systems development, and is perhaps the most mislabeled and misunderstood out of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight, the efficiency of organizational practices, and can also enable you to combine more sophisticated data management techniques in support of larger and more complex business initiatives.

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Our webinars are brought to you in collaboration with:

The Online Education Portal for Data Management Professionals