Free Webinars

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By popular demand, eLearningCurve ran a series of free 30-min webinars. Designed to fit into your busy schedule, the webinars offer a quick intensive look at some of the hottest topics in information management today. These topics are addressed in far greater depth and using eLearning technology in our courses (see recommended Course Links next to Webinar Links).

Predictive Analytics for Marketing with Eric Siegel
Predictive analytics saves organizations millions of dollars and just plain makes things more efficient all around in a way no other technology can. For marketing, predictive analytics targets by predicting response, churn, clicks and other consumer behavior. The payoff is big because there's a lot of room for improvement: Marketing casts a "wide net", money is wasted, trees expended, and customers spammed. In this webinar, industry leader and educator Eric Siegel will explain how predictive models drive operations and allow numerous well-known companies achieve amazing success.

Arkady Maydanchik

Data Quality Scorecarding with Arkady Maydanchik
More and more organizations perform data quality assessment in order to measure, monitor and improve data quality. The ultimate objective of DQ assessment is to build a meaningful analytical data quality scorecard, which proves to be far more difficult than identifying data errors and generating error reports. In this webinar, industry leader, author and educator Arkady Maydanchik will discuss the architecture and process of building data quality scorecards, from basic to advanced enterprise-wide solutions.

Root Cause Analysis - The Art and Science of Knowing Why with Dave Wells
For anyone who is challenged to manage data quality, business processes, people or organizations, finding root causes is an essential skill. Understanding why is the key to knowing what to do – the core of sound decision making. But cause-and-effect relationships are elusive. Real causes are often difficult to find so we settle for easy answers. Root cause analysis is the alternative to easy answers. In this webinar, industry leader and educator Dave Wells will discuss how to apply linear thinking, lateral thinking, systems thinking, and critical thinking to solve even the most vexing problems.

Statistical Process Control in Information Management with Mark Peco
Statistical Process Control (SPC) includes a set of analytical techniques used to measure and detect abnormal changes in the behavior of a process. SPC helps managers respond to unexpected changes in critical variables and take corrective action as necessary to maintain the desired levels of product quality and process performance over time. In this webinar, educator and practitioner Mark Peco introduces some fundamental concepts, techniques and applications of SPC within the context of information management.

Overcoming the Challenges of Global Data with Kathy Hunter
Thanks to today’s technologies, even the smallest company’s reach can be international. In order to take advantage of this global marketplace, an organization needs to store and manage data from many countries around the world. Companies that plan to capitalize on this worldwide arena have come up against some tricky problems when dealing with global data. In this webinar, industry expert Kathy Hunter will discuss those problems and will provide valuable insight into dealing with international names and addresses, one of the biggest areas of concern.

William McKnight

MDM Project Management with William McKnight
MDM solutions enable enterprise-wide master data synchronization. Given that effective master data for any subject area requires input from multiple applications and business units, enterprise master data needs a formal management system. MDM takes knowledge, skill, and organization to be successful. In this webinar, MDM expert William McKnight will discuss critical steps in MDM implementation.

MDM: Selecting a Vendor with Andy Hayler
Selecting an MDM vendor can be a daunting task, unless you have an insider showing you the way. That's exactly what Andy Hayler does in this episode of The Learning Curve. The former founder of MDM stalwart Kalido, Andy is now an independent analyst, using his inside knowledge of the industry to help clients navigate the increasingly complex waters of Master Data Management. Tune into this Webcast to hear Andy take the guesswork and uncertainty out of the vendor selection process. He'll outline his structured process for product evaluation, which includes technical, commercial and functional criteria.

Information Management Fundamentals with Dave Wells
Information Management (IM) is a broad and diverse field that encompasses fourteen distinct disciplines. The abundance of disciplines and the dependencies among them make IM a complex field but one that is rich with opportunities. To understand the full scope of information management you need to know something about topics that range from data modeling to predictive analytics. In this webcast, industry leader and educator Dave Wells provides a high-level view across the entire scope of information management disciplines and how do they fit together.

Data Stewardship: Concepts and Practices with Maria Villar
Data Stewards are important leaders in a company's information management program. As companies tackle data governance initiatives brought on by regulatory demands and the business need for higher confidence and transparency of data, the role of data steward becomes increasingly important. In this webcast, industry leader Maria Villar will discuss some key practices, roles and responsibilities of data stewards and offer some helpful tips and techniques to get started and be successful.

Data Governance for Business Leaders with John Ladley
Many information management and governance initiatives originate in business areas, but the realities of sustaining governance need to be fully understood before real change occurs. A solid business case, ongoing measures, and changing old data habits are essential to long-term success. In this webcast, industry leader John Ladley will cover basic governance concepts that business participants need to understand and outline some steps that they can take to make governance a successful business initiative.

Fundamentals of Business Intelligence with Mark Peco
Getting value from Business Intelligence requires a big-picture view of how information can and should be managed. In this Webcast, industry expert Mark Peco explains how many organizations suffer from a limited perspective on what constitutes decision support. He then offers some tips on how to make sure your company sees the big picture, and then moves carefully and thoughtfully toward realization of quality decision support.

BI and DW Data Modeling with Rick Sherman
A well designed data model is the cornerstone to building business intelligence and data warehouse applications that provide significant business value. Effective data modeling results in transforming data into an enterprise information asset that is consistent, comprehensive and current. Data is transformed from operational or source systems into a data warehouse and often data marts or OLAP cubes for analysis. Entity-Relationship and dimensional modeling techniques have expanded and matured as best practices have emerged from years of experience in data modeling in enterprises of all sizes and industries.

Creating and Implementing a Data Strategy with Sid Adelman
Very few organizations have a well defined data strategy. In many cases, data is considered the province of the department that creates it and is often jealously guarded. A data strategy should result in the development of systems that pose less risk and provide a higher success rate. Furthermore, a data strategy can provide a CIO with an effective rationale to counter arguments for immature technology or competing data strategies that are inconsistent or otherwise suboptimal.

Arkady Maydanchik

Data Profiling with Arkady Maydanchik
The key ingredient to successful data quality management, data profiling is the process of analyzing data to truly understand its structure and meaning. It is one of the most common and important activities in information management, and is typically the first critical step in IT initiatives such as data warehouse integration, operational data migration and integration, and building an MDM hub. Still, data profiling initiative success remains elusive. Luckily, data quality management guru Arkady Maydanchik is here to help.

MDM Fundamentals and Best Practice with Andy Hayler
Master Data Management (MDM) needs arise from many different causes, including mergers and acquisitions, poor data management practices of the past, legacy systems, ERP and packaged application inconsistencies, and more. MDM is a complex and challenging discipline, fraught with unique challenges and opportunities that even well seasoned data practitioners might not foresee. The complexities of managing identities, managing hierarchies, and resolving conflicts among disparate data sources, and the organizational, architectural, technological and human implications of MDM implementation, necessitate experience and expertise from the outset.