Let’s Get Down to Business

February 09, 2012

In today’s information-driven economy, data drives your business.  Whether as part of a business intelligence, data governance,  or other data-centric initiative, the pressure is high to create a central view of critical data assets that is of high quality and managed within budget.  The “Let’s Get Down to Business” webinar series offers sessions from three leading experts in the field of data management, Alec Sharp, Karen Lopez, and Dr. Peter Aiken, who will provide practical examples of how to make data management and data modeling relevant and effective in today’s competitive business environment.

 

Worried How Data Quality in your Organization may be affected by a move to the Cloud?
As organizations consider moving their data to the Cloud, many are concerned about how data quality may be affected. As organizational demands for integrated data increase, they are also concerned about maintaining a central view of their data architecture, while some are stored in the Cloud and others on-premise. As they experiment with these open data platforms, organizations inevitably discover that architecting data quality into the platform is a far preferable solution than attempting to address them after the fact. Data quality needs to be an on-going process and not a project.This webinar will provide attendees with guidance and motivation to show how adopting an on-going data quality solution based on core data modeling best-practices will help to avoid the pain, cost, and disappointment of ineffective or unsuccessful data initiatives. Several organizational challenges and success stories will be used to illustrate this point.
 

February 6th, 2012
1:00 p.m. - 2:00 p.m. EST
Register Now

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Help your Business Love its Data (Models): Tailoring Data Models for your Audience
There’s no one data model hiding in your modeling tool.  There are actually thousands of them – not just multiple data model files, but different views and presentations of the same data model, each one ready to be used by different purposes and outcomes. In this session, Karen Lopez will discuss the steps in  of preparing and presenting the “right” data model for the right audience, as well as making them accessible via the web. We will also cover the 10 tips for ensuring that your audience is happy they attended the data model presentation and looks forward to attending the next one.
 

February 7th, 2012
1:00 p.m. - 2:00 p.m. EST
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Join industry expert Alec Sharp for this informative webcast on the business value of data modeling:
Getting the “Business” into Business-Oriented Data Modeling – Practical Techniques and Examples

Data modeling is often seen only as a technical discipline used by data professionals for database design, or even being the same thing as database design. However, with the right perspective, techniques, and tools, data models are also terrifically useful to other stakeholders. Business leaders and subject matter experts find that well-structured conceptual models provide a new way to understand their business, and make business policy decisions. Business analysts can use data models to discover requirements that would otherwise be missed entirely or not discovered until much later.

Three keys to making data models relevant for these business professionals are:

  • Understanding how different types of models – contextual, conceptual, logical, and physical – each serve diverse needs and audiences;
  • Appreciating that detailed logical and physical data models focus on data, but higher-level contextual and conceptual models focus on the things the business cares about, and that its processes and applications act on;
  • Having techniques and supporting tools that are appropriate for the needs and wants of diverse stakeholders.

This webcast and accompanying white paper will illustrate these points while providing specific guidelines and techniques for a business-oriented approach to data modeling. Real examples, drawn from 30 years of successful data modeling experience, will show how business professionals have appreciated and used data models.
 

February 9th, 2012
1:00 p.m. - 2:00 p.m. EST
Register Now

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