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PODCAST · technology

eLearningCurve

by eLearningCurve

At eLearningCurve, we recognize that professional training cannot occur in a vacuum. That's why each one of our courses fits within one or several curricula. This protocol helps to ensure that every course is delivered within a meaningful context. Each curricula will have at least four or five courses at its launch, with additional courses added over time. Look for our Podcast in the iTunes Store!

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Episodes

  1. Business Intelligence Fundamentals

    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...

  2. How to Select a Software Vendor

    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.…

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  3. Certified Information Management Professional Program

    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. In this Learning Curve Webcast, you'll hear Dave Wells, Education Director for...

  4. BI and DW Data Modeling

    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...

  5. The Value Proposition of eLearning

    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...

  6. Conceptual Data Modeling

    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,...

  7. Data Governance Curriculum Launch

    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…

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  8. Best Practices in Data Resource Management

    Public and private organizations face a common challenge in resolving inconsistent and redundant data, which is often spread across departments, business units, and other divisional lines. While this problem is typically acknowledged and at least partially understood by those working within the...

  9. Creating and Implementing a Data Strategy

    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.…

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  10. Hot Jobs in Information Management and Your Unique Skills

    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. A review of hot jobs in the Information Management industry paints a...

  11. Data Profiling

    One of the most common and important activities in data management, data profiling is the process of analyzing actual data and understanding its true structure and meaning. Data profiling is the first critical step in many IT projects, and is truly the key ingredient to successful data quality...

  12. Data Governance Success Story

    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...

  13. MDM: Selecting a Vendor

    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...

  14. Data Governance Fundamentals

    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...

  15. The Growing Profession of Data Quality

    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? Tune into this...

  16. Introduction to Master Data Management

    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...

  17. MDM Fundamentals and Best Practices

    Master Data Management (MDM) presents even well seasoned data management professionals with unique and complex challenges that might not be fully foreseen from the outset of the project. The intricacies of managing identities and hierarchies, and resolving conflicts among disparate data sources,...

  18. Data Quality Fundamentals

    Given the scale and complexity of the data quality field, data quality practitioners need a strong understanding of the fundamental concepts, principles, and terminology that are common in quality management. Building upon that foundation, they need to understand how quality management concepts…

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  19. Ensuring Data Quality in Data Integration

    With the advancing of time and cumulative growth of corporate databases comes an endless process of upgrading and redesigning the programs responsible for data integration, as well as the databases themselves. The typical result of these dynamics is that information systems get better, while data...

  20. The Data Model Scorecard

    Given the far-reaching and long-lasting implications of data models, and the temporal and financial realities of the environments that models are typically constructed in, the importance of effectively creating an objective measure of data model quality comes to light. In this episode of The...

  21. Why You Need a Data Quality Assessment

    A data quality assessment is not just about finding errors, but about measuring their impact on various business processes. Yet in the absence of a comprehensive methodology, measuring data quality remains an elusive concept. In this episode of The Learning Curve, data quality guru Arkady...

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ABOUT THIS SHOW

At eLearningCurve, we recognize that professional training cannot occur in a vacuum. That's why each one of our courses fits within one or several curricula. This protocol helps to ensure that every course is delivered within a meaningful context. Each curricula will have at least four or five courses at its launch, with additional courses added over time. Look for our Podcast in the iTunes Store!

HOSTED BY

eLearningCurve

CATEGORIES

Frequently Asked Questions

How many episodes does eLearningCurve have?

eLearningCurve currently has 21 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is eLearningCurve about?

At eLearningCurve, we recognize that professional training cannot occur in a vacuum. That's why each one of our courses fits within one or several curricula. This protocol helps to ensure that every course is delivered within a meaningful context. Each curricula will have at least four or five...

How often does eLearningCurve release new episodes?

eLearningCurve has 21 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to eLearningCurve?

You can listen to eLearningCurve on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts eLearningCurve?

eLearningCurve is created and hosted by eLearningCurve.
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