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Beyond Frameworks: Introducing Data-Model Management

Updated: Feb 1

Data now matters more than ever and making an organization's data function is now more crucial than its form. That said, developers, analysts, and business leaders need to collaborate to make sense of complicated datasets to mitigate the difficulties of their own departments as well as the decision-making needs of their enterprises.

Data Models. The Building Blocks Of Data-Driven Organizations

Data models are the foundation for data-driven culture and decision-making and for creating a culture where employees can be more effective in doing their work every day.

Each data model provides a framework for an organization's data and processes. It allows business leaders to build systematic management which helps the development of all company processes, which involves the overall chain of business value creation. Data models are a unified view of the business information systems (structured and unstructured), their storage, use, processing and analysis.

From working with suppliers and employees at the hiring stage to the management of financial flow, planning, forecasting and marketing communications. By using targeted audiences - everything can be controlled through a single platform: your data model.

Data-Model Management

Data-model management is the process of creating, implementing and maintaining the data model for your business. It is important because it allows you to optimize your performance and make sure that your data is organized in a way that makes sense for your business needs.

Data models can help your business understand business processes and interactions. When done correctly, it will provide you with an efficient way to manage your data. They can also help you identify areas of improvement so that you can focus on more strategic goals of your company, such as customer needs, sales and marketing opportunities, etc. Your data model should be validated by the business owners before being used in production.

These are our three steps for data-model management:

Data Modeling

Data modelling is about understanding how your data should be organized and what types of relationships exist between the data sets. This can be done by conducting research and interviewing stakeholders who have knowledge of the business or by looking at existing systems to see how they are structured.


Implementing the data model involves planning out how to execute the findings into an existing system or creating a new one from scratch, depending on what works best for your needs. Implementation can include building new software or simply changing some configurations within existing software systems.


Maintenance ensures that the changes made within your business do not negatively impact your existing data model, which could result in inaccurate reports or lost information if not properly maintained.

Data-Model Management Can Be Implemented In A Variety Of Ways

One approach is to use an automated system that builds models based on existing data and then tests them against new data. Another method is to build a model from scratch with no existing data.

Regardless of how it's done, the goal of data-model management is to create a model that can be used for real-time analysis or predictive analytics. It also provides a way for businesses to identify new opportunities based on current trends or patterns in their data. This allows them to make better decisions based on facts rather than hunches or guesses—and it saves them time and money.

A Data Model - A Blueprint For How Your Company On A Day-To-Day Basis

There are many ways that data models can help make sure that company employees know exactly what they're supposed to be doing every day: Data models allow businesses to avoid costly mistakes by providing them with information about which steps to take from start to finish. Reducing the time and effort needed in facing potential problems down the road.

Data models can also help with employee performance reviews. Through the usage of the relevant data, detailed information about how an employee is performing and how much money each employee spends on certain tasks can help improve work efficiency. This also helps managers identify which employees need training or additional support so they can continue working without any problems.

What's more, data models offer benefits beyond just being able to easily find or share information with others: they allow companies to become more efficient by providing them with a solid foundation that they can build their future processes and procedures on.

If you have ever considered incorporating database management into your skill set or have been looking for a tool with which to build a foundational high-performance analytics platform while continuing to meet your client‘s or employee‘s demand for speed, then the Reiz data model is worth a close look. Reach out to us and let‘s work together to accomplish your goals.

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