|
By popular demand, The Learning Curve webinar series returned in May 2011. Join us on Fridays at Noon ET for free 30-minute educational sessions. Designed to fit into your busy schedule, the webinars offer a quick intensive look at some of the hottest topics in information management today. Many of these topics are addressed in far greater depth in our eLearning courses (see recommended Course Links next to Webinar Registration Links).
Scroll down to access the archived webinars. Sign up for our newsletter to be notified about the future webinars.
Trouble playing a webinar? You may need this plug-in: GoToMeeting Codec
Eric Siegel
|
Predictive Analytics for Marketing with Eric Siegel - Airdate: September 23, 2011
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 - Airdate: July 22, 2011
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.
|
|
|
Tom Redman
|
Organizing for Data Quality with Tom Redman - Airdate: June 24, 2011
Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. But who, specifically, are these people and what are they supposed to do? The question is especially crucial because virtually everyone touches data in some way or other and so can compromise their quality. In this webinar, industry leader, innovator and educator “The Data Doc” Tom Redman will discuss the best practices and key principles in building data quality organizations and will describe the fundamentals organizational unit for data quality.
|
|
|
Dave Wells
|
Root Cause Analysis - The Art and Science of Knowing Why with Dave Wells -
Airdate: June 3, 2011
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.
|
|
|
Mark Peco
|
Statistical Process Control in Information Management with Mark Peco -
Airdate: May 20, 2011
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.
|
|
|
Guest Speaker:
Henrik Liliendahl
Sørensen
|
The Art of Data Matching with Henrik Liliendahl Sørensen - Airdate: June 04, 2010
Data matching is a core part of most automated data quality implementations as duplicates in master data is the single most frequent data quality issue around. In this webinar seasoned data quality expert Henrik Liliendahl Sørensen will reveal some of the techniques used in data matching including how to use external reference data in data matching and how to most effectively combine computerized approaches and manual verification. The webinar also discusses different data matching goals, such as de-duplication, identity resolution and master data hierarchy building.
|
|
|
Guest Speaker:
Dan Power
|
Best Practices in MDM and Data Governance with Dan Power - Airdate: May 21, 2010
For many companies, it's not “if” they will implement some form of Master Data Management (MDM), it's “when”. In this webinar, industry expert Dan Power will help you better understand MDM and data governance, present some useful MDM and data governance best practices, talk about what works and what doesn’t, cover the importance of a holistic approach, and discuss how to get the political aspects right. Webinar duration is just 30 minutes, so don't be late!
|
|
|
Kathy Hunter
|
Overcoming the Challenges of Global Data with Kathy Hunter - Airdate: May 07, 2010
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.
|
|
|
Mark Peco
|
Data Warehousing Fundamentals with Mark Peco - Airdate: April 30, 2010
There are many components that must be understood, integrated and implemented together to enable successful Data Warehousing. In this webinar, BI and DW educator and practitioner Mark Peco introduces some fundamental Data Warehousing concepts and definitions from a holistic perspective using Systems Thinking concepts to provide a framework that describes the component building blocks and how they interact with each other in support of generating true and measurable business value.
|
|
|
John Ladley
|
Business Alignment for Data Governance and EIM with John Ladley -
Airdate: April 23, 2010
Enterprise information management and data governance can add significant value to an organization. Or they can fall flat on their face. One critical success factor is executing a formal process for business alignment. Business alignment refers to ensuring the EIM and DG areas are supporting business needs, versus monitoring technology-only efforts. In this webinar, industry leader John Ladley describes a formal process that creates the foundation to support justification, demonstrate progress, and measure the success of EIM and DG.
|
|
|
Arkady Maydanchik
|
Ensuring Data Quality in Data Migration with Arkady Maydanchik - Airdate: April 16, 2010
Data migration is a major root cause of poor data quality. Numerous system implementations overrun schedule and budget or fail outright because quality of the converted data proves inadequate. The problem is especially acute in data consolidations during corporate mergers and acquisitions, as well as implementations of data warehouses and MDM hubs. In this webinar, industry guru Arkady Maydanchik explains why data migration so often turns into a data quality nightmare and describes a robust, data quality driven approach to data conversion and consolidation.
|
|
|
Guest Speaker:
Steve Sarsfield
|
Secrets of Affordable Data Governance with Steve Sarsfield - Airdate: April 09, 2010
In this webinar, "Data Governance Imperative" author and blogger Steve Sarsfield discusses fiscally cautious steps toward data governance that will fly under the radar of your budget approval process. Once you begin to make low-cost, high impact improvements, learn how you can hook your company on the power of data governance and use your accomplishments to solve bigger, badder data quality problems. Steve will discuss what processes to attack first and what tools are available for free to help you manage your data. |
|
|
William McKnight
|
MDM Project Management with William McKnight - Airdate: March 26, 2010
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. |
|
|
Guest Speaker:
Phil Simon
|
Business Intelligence 2.0 with Phil Simon - Airdate: March 19, 2010
Organizations are often awash in data, simultaneously having too much data but somehow not enough. Maybe they don't have the right data or a way to interpret so much data. To combat this problem, many organizations use applications that loosely fall under the business intelligence (BI) umbrella. BI tools can do some amazing things. It's a cool technology with far-reaching implications. In this webinar, industry expert and educator Phil Simon will explore what's in BI, including a look at in-memory BI, mobile BI, open source BI, and the question of whether organizations have too many BI tools. |
|
|
Guest Speaker:
Dalton Cervo
|
Understanding MDM Solutions with Dalton Cervo - Airdate: March 12, 2010
Organizations today must be able to leverage their own data to differentiate themselves from their competition and thrive amid increased pressure to succeed. However, the current state of data in most organizations is far from ideal. MDM is a discipline capable of enabling those organizations to use their data as an asset driving strategic objectives. MDM is powerful, yet complex. Identifying what MDM solution best fits your need is a challenging task. In this webinar, MDM expert Dalton Cervo helps you understand MDM architectures and components, and the pros and cons of each implementation. |
|
|
Guest Speaker:
Jim Harris
|
Adventures in Data Profiling with Jim Harris - Airdate: March 05, 2010
Data profiling is a critical step in a variety of information management projects, including data quality initiatives, MDM implementations, data migration and consolidation, building a data warehouse, and many others. In this vendor-neutral webinar, Jim Harris of Obsessive-Compulsive Data Quality (OCDQ) will discuss the common functionality provided by data profiling tools, which can help automate some of the work needed to begin your preliminary data analysis. |
|
|
Dorothy Miller
|
Defining Business Intelligence Quality with Dorothy Miller - Airdate: February 26, 2010
Before we can measure and improve the value of Business Intelligence, we need to understand and define Business Intelligence quality. In this webinar, industry leader and educator Dorothy Miller will explore the nature of Business Intelligence customers, describe how the customer is the key to understanding and measuring BI quality, and identify eight factors which are critical to BI quality. |
|
|
Dave Wells
|
Information Management Fundamentals with Dave Wells - Airdate: February 19, 2010
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. |
|
|
Maria Villar
|
Data Stewardship: Concepts and Practices with Maria Villar - Airdate: February 12, 2010
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. |
|
|
John Ladley
|
Data Governance for Business Leaders - Airdate: February 05, 2010
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. |
|
|
Mark Peco
|
Fundamentals of Business Intelligence - Airdate: December 04, 2009
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. |
|
|
Andy Hayler
|
How to Select a Software Vendor - Airdate: November 13, 2009
Selecting a software vendor can be downright daunting, which is why savvy organizations employ a thoughtful framework to the selection process. As a former vendor co-founder and long-time IT analyst, Andy Hayler has seen and participated in the procurement cycle from several sides of the fence. In this special Learning Curve Webcast, Andy will share his time-tested methodology and framework for comparing and contrasting software vendors. His evaluation process includes a balance of technical, commercial, and functional criteria to seek a good match to the needs and constraints of your organization. |
|
|
Dave Wells
|
Certified Information Management Professional Program - Airdate: November 06, 2009
In today's increasingly competitive global marketplace, certification can help you separate from the pack! That's why eLearningCurve will soon roll out the Certified Information Management Professional Program. Register for this Learning Curve Webcast to hear Dave Wells, Education Director for eLearningCurve, explain the nature and roadmap for this new certification program. |
|
|
Rick Sherman
|
BI and DW Data Modeling - Airdate: October 30, 2009
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. |
|
|
Arkady Maydanchik
|
The Value Proposition of eLearning - Airdate: October 23, 2009
Professional education comes in many forms these days, including in-person conferences, Webcasts and eLearning. Each of these modes offers a unique value proposition, such as the networking value of conferences, the concise nature of Webcasts, and the in-depth content of eLearning. However, each mode also has drawbacks: conferences tend to be expensive; Webcasts often gloss over important subjects; and eLearning can lack the personal interaction of live events. Register for this Learning Curve Webcast to hear education veteran Arkady Maydanchik discuss the eLearning model and outline its advantages and disadvantages compared to the more conventional educational formats. |
|
|
David Haertzen
|
Conceptual Data Modeling - Airdate: October 16, 2009
Conceptual Data Modeling using the UML standard is a key method for getting a handle on the data requirements of an organization. Effective conceptual data modeling results in maximum benefits from information assets by increasing shared use and avoiding redundancy. Data that is relevant, timely, consistent, and accessible has increased value to the organization. |
|
|
David Wells
|
Data Governance Curriculum Launch - Airdate: October 09, 2009
Data Governance is a burgeoning discipline in the field of information management, as organizations move past Data Administration and into the world of multiple data owners, stewards, and specialists, ultimately culminating in executive level Data Officers. Data is now seen as an asset that must be effectively understood, captured, maintained, parsed, and collaborated upon by all levels of the organization. Thus there is great opportunity in Data Governance, but also the need for education and experience in the trenches. In that service, education specialist David Wells presents eLearningCurve’s Data Governance Curriculum. |
|
|
Mike Brackett
|
Best Practices in Data Resource Management - Airdate: October 02, 2009
Both public and private organizations grapple with the challenges of data disparity and redundancy. While frequently those within the organization are aware of the problems and perhaps even of the causes of inconsistent data, it typically takes war hardened IT and business professionals to create solutions such that disparate data is not being created in the first place. |
|
|
Sid Adelman
|
Creating and Implementing a Data Strategy - Airdate: September 25, 2009
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. |
|
|
Guest Speaker:
Jennifer Hay
|
Hot Jobs in Information Management and Your Unique Skills - Airdate: September 18, 2009
Career planning for Information Management professionals has two distinct dimensions: knowing what you have to offer, and knowing what employers want. In this webcast, IT career advisor Jennifer Hay looks at both dimensions. The assessment helps you understand what you do and why you do it well. The hot jobs review provides the perspective of what is needed. Matching the two can help you make the most of your career choices. |
|
|
Arkady Maydanchik
|
Data Profiling - Airdate: September 11, 2009
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. |
|
|
Theresa Kushner
|
Data Governance Fundamentals - Airdate: August 28, 2009
Getting started with any major initiative can be difficult, and data governance is no exception. Last week, eLearningCurve instructor Maria Villar outlined the major elements of a data governance program. In this episode of The Learning Curve, her partner, Theresa Kushner, introduces you to how others have already started this journey. In the case study portion of this training, you are introduced to elements of a program dedicated to governing customer data. Designing and implementing a Data Governance Organization Model will help your organization get on the right track for saving money and improving data-related processes. |
|
|
Andy Hayler
|
MDM: Selecting a Vendor - Airdate: August 21, 2009
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. |
|
|
Maria Villar
|
Data Governance Fundamentals - Airdate: August 14, 2009
A data governance program should encompass all of the policies, standards, processes, people, and technology that are essential to managing critical data assets. Successful data governance programs are matched to an organization's culture, information maturity, priorities, and sponsorship. Tune into this episode of The Learning Curve to hear Data Governance expert Maria Villar, who will outline some of the key components of this growing discipline. You'll learn the business case for Data Governance, which types of data should be governed, and implementation fundamentals for successful governance, including standards and policies, processes, people and technology. |
|
|
Guest Speaker:
Dylan Jones
|
The Growing Profession of Data Quality - Airdate: August 07, 2009
One profession that continues to grow in this difficult economy is Data Quality. More and more organizations are recognizing the value of Data Quality initiatives, and as a result, there are jobs to be had. But what kind of jobs? And what are the necessary skills to get those jobs? We'll hear from Dylan Jones, Founder of Data Quality Pro, a respected trade group that focuses specifically on this industry. Jones will outline some of the key factors for achieving success as a Data Quality Practitioner. |
|
|
William McKnight
|
Introduction to Master Data Management - Airdate: July 31, 2009
As today’s business environment continues to evolve and grow ever more complex and competitive, data integration is required to coordinate master data and achieve a single, consistent view of organization’s core business entities. MDM solutions enable master data synchronization, combining disparate applications and business units under the umbrella of a formal management system. Business approval, business process change, and capture of master data at optimal, early points in the data lifecycle are essential to achieving true enterprise master data. William McKnight’s Introduction to Master Data Management provides the tools necessary for real world MDM solutions. |
|
|
Andy Hayler
|
MDM Fundamentals and Best Practice - Airdate: July 24, 2009
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. |
|
|
Dave Wells
|
Data Quality Fundamentals - Airdate: July 10, 2009
For individuals getting started in data quality management, the sheer scope and complexity of the field can be daunting. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are common in quality management. Data Quality Fundamentals provides an overview of the field of data quality with the goal of building strong foundational knowledge. David Wells presents the basic concepts, principles, and practices of quality management, as well as both general and data-specific quality management terminology. Building upon that foundation, he will discuss how quality management concepts and principles are applied to data. This course is perfect for entrants in to the field of quality management, or those whose work necessitates the ability to speak the data quality language. |
|
|
Arkady Maydanchik
|
Ensuring Data Quality in Data Integration - Airdate: June 26, 2009
The corporate data universe consists of numerous databases connected by countless real-time and batch data interfaces. The data are constantly in flux, and the databases and programs responsible for data integration are endlessly redesigned and upgraded, resulting in enhanced information systems, but deteriorated data quality. Arkady Maydanchik’s Ensuring Data Quality in Data Integration examines data quality challenges, the role and techniques of data quality monitoring in data integration, and the impacts of change on data quality and techniques to address this impact. The course, geared towards data integration practitioners, will also present how an enterprise integration hub can be applied to managing data quality.
|
|
|
Steve Hoberman
|
The Data Model ScorecardTM - Airdate: June 19, 2009
A frequently overlooked aspect of data quality management is that of data model quality. The implications of data model quality on the ability to define data quality rules, adapt to change, understand and communicate about data, and affect the structure of implemented data belies the importance of both developing an appropriate model, and having an objective measure of data model quality. The latter becomes particularly important given that most data models are built quickly, in the midst of a development project. Steve Hoberman's Data Model Scorecard provides the tools needed to measure and manage data model quality. |
|
|
Arkady Maydanchik
|
Data Quality Assessment - Airdate: June 12, 2009
More and more companies initiate data quality programs and form data stewardship groups every year. The starting point for any such program must be data quality assessment. Yet in the absence of a comprehensive methodology, measuring data quality remains an elusive concept. Often it proves to be easier to produce hundreds or thousands of data error reports than to make any sense of them. In this episode of The Learning Curve, you'll hear from data quality expert Arkady Maydanchik, who will preview his five-hour eLearning course on the subject. That course gives comprehensive treatment to the process and practical challenges of data quality assessment. |
|
|
|
