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3 Ways Model Management Helps You Get Organized

Ginger Phelps June 20, 2017
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Imagine tracking data for multiple models by hand. How long would this process take you? Hours? Days? This question mainly depends on how many models you need to track and how much information there needs to be maintained within the models.

Therefore, the use of a model management approach is essential for a company with various models that also require multiple permissions and users. Whereas if you only have a single model to manage, it may be simpler to keep track in a more manual way.

Luckily, model management can allow for a more efficient way to track models and information, which as a result has greatly reduced the amount of time spent on this process.   

Before we determine how to get organized with model management, let’s discuss exactly what model management is. Model management is a configuration management tool and backing store for data of the model. This system stores external items needed to run the model or attachments and configurations for streams, schemas, and sensors that are stored and maintained in model manage. In a simplified definition, model management is a way of tracking everything from changes that have been made to your model to data on your model performance, and basically anything a general file will most likely have.

Now that we understand what model management is, let’s discuss the three key ways model management helps your deployment process.

1. Tracking Metadata

It can be argued that one of the most beneficial advantages of model management is that it provides many features that allows for the user to track their information. These features are valuable when the user needs to track and keep meta data organized and easy to access, in all creating a more accessible model. 

2. Maintaining Multiple Models

Model management is also valuable to the user when they must track multiple models. It is more effective to track all of these services through a single model, rather than a less efficient method such as by hand or one model at a time. Having a central repository system allows for all of the data and models to remain in one single database, rather than spread out amongst different users and models. This feature simplifies the process of tracking audits.

 3. Increase in Productivity and Efficiency 

Incorporating and utilizing a model management system to your business decreases the amount of time spent on tracking audits, and increases the efficiency in tracking changes made to the model or models. The next time you think about tracking your models by hand, you might want to consider model management and save yourself the hassle.

Incorporating model management to your deployment process has many advantages that make organizing and maintaining your model to its highest capability possible and user-friendly.

At Open Data Group, one of the first things we built for our product was model management capability. We believe that in order to have a good foundation within your model, there must be a solid system to track and organize all aspects of the model.

One of the unique aspects of our built in model management system, is that it allows for users to pick and choose which models they want to include in the platform.

Flexibility is an important aspect of model management, because it creates an environment where the user can focus on specific models without the interference of other extraneous models.

Now that we know the benefits of model management, hopefully our models will be a bit more organized.

To learn more about how we incorporate model management into our deployment engine, FastScore, check out our website or register for a webinar!

Topics: FastScore, Open Data Group, Analytic Deployment, Model Manage, Model Management