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Due to the complexity of modern organization's and their systems, data modeling is becoming increasingly valuable. By modeling databases, systems and applications ahead of time, organizations are better prepared for coping with the incredible volume of data that is required to be processed and stored. It helps in ensuring new (and revised) systems' capabilities meet the needs of the organization and its stakeholders. It also aids in improving the efficacy of implementation. It achieves this by enabling modelers to visually represent the relationships between data elements, and communicate them with the relevant parties. This aids collaboration and helps ensure critical capabilities and considerations are not overlooked. Data modeling also provides organizations with an opportunity to evaluate gaps in their current capabilities. By conceptualizing the best possible system, organizations can evaluate their current, and desired future state, allowing them to formulate a strategy to bridge the gap, or decide that some things are out of scope. For more useful info about data modeling, see the following: Video: Types of Data Modeling • Types of Data Model and Data Modeling... What Is Data Modeling? https://community.idera.com/database-... What is Conceptual Data Modeling (and When Should it be Used)? https://community.idera.com/database-... Types of Data Model: Conceptual, Logical and Physical https://community.idera.com/database-... The Top 8 Data Modeling Best Practices for Data-Driven Organizations https://community.idera.com/database-... IDERA's Data Modeling Solutions https://www.idera.com/er-studio-enter... --------- Transcript --------- Imagine you’re tasked with building an apartment complex. Without planning, the likelihood that you’ll end up with a habitable environment is near-zero. So instead, you start with a draft - or concept - and plan out the ideal version of your apartment and its facilities like “Kitchen” and “Bedroom”. Then you’ll consider logistics. How will the different rooms connect to one another? What do you need to consider to ensure these facilities are provided and maintained? This stage might indicate some of the things you conceptualised are outside of scope. Next, you’ll look at physical implementation. This is where you’ll finalise your blueprint to indicate the exact specifications required of construction. And in practice, that’s what the full data modeling process provides: a well informed blueprint for constructing databases, so you can get it right the first time. With IDERA ER/Studio organizations can take advantage of a collaborative solution to create informed data models. To learn more about data modeling, visit IDERA.com or see the description for more info!