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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). View our schedule here.

Data Architecture Strategies – Constructing Your Data Garden

February 14, 2017

Data architecture is foundational to an information-based operational environment. Without proper structure and efficiency in organization, data assets cannot be utilized to their full potential, which in turn harms bottom-line business value. When designed well and used effectively, however, a strong data architecture can be referenced to inform, clarify, understand, and resolve aspects of a variety of business problems commonly encountered in organizations.

The goal of this webinar is not to instruct you in being an outright data architect, but rather to enable you to envision a number of uses for data architectures that will maximize your organization’s competitive advantage.


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The Importance of MDM – Eternal Management of the Data Mind

March 14, 2017

Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and master data management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals.

MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI).

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Data Modeling Strategies – Getting Your Data Ready for the Catwalk

April 11, 2017

Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data”, “NoSQL”, “data scientist”, and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business.

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Data-Centric Strategy & Roadmap – Supercharging Your Business

January 10, 2017

In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go ‘round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational data management—which fortunately is a remediable problem.

This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for data management processes and communicate their value to both internal and external decision makers:

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Exorcising the Seven Deadly Data Sins

December 13, 2016

The difficulty of implementing a new data strategy often goes underappreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. 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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Best Practices in Data Stewardship

November 8, 2016

In order to find value in your organization’s data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization’s mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.


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Implementing Successful Data Strategies – Developing Organizational Readiness and Framework

October 11, 2016

Big Data projects have been about as successful as other IT projects – about 29% successful according to the 2015 Standish Group Chaos Report. Second, Data Scientists are generally assessed to be about 20% productive. The reason for both of these dismal statistics is simple—organizations are terrible about understanding how to use data as a strategic organizational resource. In fact, considering the data is our sole, non-depletable, non-degrading, durable strategic asset, it is really mind boggling how poorly it is managed.  Having an actionable data strategy is the first, most critical step in exerting positive control over data and leveraging it in support of your organization’s business strategy. Once understood, your organization will be better positioned to support its mission and take advantage of new and existing data sources while complying with relevant laws, regulations, and policies.

This talk will simply describe:


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Predictive Analytics – How to get stuff out of your Crystal Ball

September 13, 2016

Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.



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DataEd: Best Practices with the DMM

August 9, 2016

The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.

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Data Quality Success Stories

July 12, 2016

Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.

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DataEd: Data Modeling Fundamentals

June 14, 2016

Every organization produces and consumes data. Because data is so important to day to day operations, data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, NoSQL, data scientist, etc., to seek solutions for their fundamental issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it.  Data modeling is not an optional task for an organization’s data effort. It is a vital activity that supports the solutions driving your business.

This webinar will address fundamental data modeling methodologies, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.

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Metadata Strategies

May 10, 2016

Good systems development often depends on multiple data management disciplines. One of these is metadata. While much of the discussion around metadata focuses on understanding metadata itself along with associated technologies, this comprehensive issue often represents a typical tool-and-technology focus, which has not achieved significant results. A more relevant question when considering pockets of metadata is whether to include them in the scope of organizational metadata practices. By understanding metadata practices, you can begin to build systems that allow you to exercise sophisticated data management techniques and support business initiatives.


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Our webinars are brought to you in collaboration with:

The Online Education Portal for Data Management Professionals