Data Catalog

Reduce Complexity. Gain Business Value.

Mapping and Transformation

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Data Profiling

Data Governance

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The importance of the Data Catalog

The Data Catalog in Affirma is comprised of data models, data schemas, integration schemas, and other data definitions. Gathering these is the first step in being able to integrate them into your data architecture, for access across multiple technologies and platforms, regardless if your approach is based on a data fabric, a data mesh or a combination of both.

Consider all the different sources of data you have within your organization.  Applications, databases, data warehouses, industry data models, API's, the number is endless.

Ask yourself if you are managing them effectively?

We have 100's of applications and databases, each one has its own data definition.

How do we manage them?

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Many industries have standard data models to define and relate their data, and in some cases also to define the flow of data within an industry.

Affirma is designed to import standard data models as data to expedite understanding and communication both within and beyond your organization.

Are you using standards?

3 steps to the Data Catalog

You might ask yourself how do I start using Affirma for managing data? The amount of data you have is no doubt massive. The key is to take a focused approach and expand over time. Consider starting with a specific business area or domain, or a different approach is to begin with a specific project or program implementation.  Either way we suggest following as basic 3 step approach.

reference data

Define how to organize your Data Catalog

Determine how you are going to organize your data. You could group by business capabilities, business area, business domain or data object domains. Our typical approach is to organize the data by business capabilities or business function. Affirma gives you the flexibility to adapt to what will best suit your organization.

enterprise semantic model

Identify and import your data

Taking a focused approach you must identify and obtain your data sources. Within Affirma you will utilize the import wizard to import the data into the hierarchy you have created previously.

Use your data

You will make use of relevant parts of your data to build your enterprise semantic model, which will later enable you to design your integration and data stores, link to data mapping and data transformation.

Affirma brings your data sources together accelerating a common understanding of your data.

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Let's Talk!

We would like to know more about you.

What would you like do with Data Catalog?