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Analytics is a journey, not a destination. This journey can eventually result in some level of sophisticated AI/machine learning in your organization. Every organization needs to mobilize its resources and enhance its analytics capabilities to quickly and incrementally add value to data products and services. Let Incept help you mobilize your resources in this way.

This involves installing and configuring the CDQ platform, including setting up the necessary infrastructure, defining security and access controls, and integrating CDQ with your existing data management and governance tools.

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Once the CDQ platform is set up, you will need to load your data into CDQ and define the data quality rules and checks that you want to apply. This may involve creating custom data quality profiles, rules, and alerts.

To ensure the ongoing quality and accuracy of your data, you will need to establish governance processes for managing and maintaining the catalog. This includes defining roles and responsibilities for catalog management, setting up data quality checks and alerts, and establishing a process for resolving data quality issues.

Incept is the best-positioned partner to implement Informatica's Cloud Data Governance and Catalog (CDGC) and Cloud Data Quality (CDQ) solutions because we have the expertise, experience, and long-standing relationships with Informatica that make us uniquely qualified to deliver successful implementations for our clients.

Identify gaps in the current governance processes and quality processes that CDGC/CDQ can help address, and prioritize use cases, domains and business units.

Overall, Incept's expertise, experience, and strong relationships with Informatica make us the ideal partner to help organizations implement CDGC and CDQ and improve their data management and governance processes.

These are the general steps involved in implementing CDQ from Informatica. The specific steps and requirements may vary depending on your specific needs and requirements. It is important to work with a qualified partner like Incept to ensure a smooth and successful implementation.

This includes understanding the current state of your data, identifying data quality issues, and determining the specific business challenges you are trying to solve with CDQ.

Based on your assessment, you will need to define your overall CDQ strategy, including which data sets you want to include in CDQ, how you want to prioritize data quality issues, and which users and groups you want to have access to CDQ.

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This includes understanding, documenting, and prioritizing your use cases, identifying the quickest path to value, and determining the specific business challenges you are trying to solve with CDGC.

Informatica document

Once the data is loaded into CDQ and the data quality rules are defined, you will need to validate the quality of your data by running data quality checks and reviewing the results.

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In addition, we have a deep understanding of the Informatica ecosystem and how to leverage its tools and resources to deliver the best possible solution for our clients. Our long-standing relationship with Informatica allows us to communicate effectively with their team and ensure a smooth and successful implementation.

We were the very first North American Partner to implement CDGC for a large pharmaceutical organization (40,000+ employees), so our team of data management experts has extensive knowledge of the CDGC and CDQ platforms (and their predecessors, AXON, EDC, and DQ, that it has successfully implemented for a wide range of industries).

Based on the results of the data quality checks, you will need to address any data quality issues that are identified. This may involve cleaning or transforming the data, updating data definitions or rules, or working with stakeholders to resolve issues.

By engaging Incept for your migration endeavors, our team of certified consultants brings along a range of accelerators designed to streamline the process, resulting in significant savings in effort, costs, and time. Moreover, our involvement guarantees a higher level of quality throughout the migration process.

Informatica Data Quality

These are the general steps involved in implementing CDGC from Informatica. The specific steps and requirements may vary depending on your specific needs and requirements. It is important to work with a qualified partner like Incept to ensure a smooth and successful implementation.

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Based on your assessment, you will need to define your overall CDGC strategy, including which data sets you want to catalog, how you want to classify and organize your data, and which users and groups you want to have access to the catalog.

Discuss next steps for moving forward with the CDGC/CDQ implementation, including timelines, budgets, and resources needed

This involves installing and configuring the CDGC platform, including setting up the necessary infrastructure, defining security and access controls, and integrating CDGC with your existing data management and governance tools.

Informatica

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This is a standard short 5-day engagement for Discovery and High-Level Planning for a CDGC or CDQ implementation might be structured. We strive to adapt to our clients, so activities and duration of the engagement will depend on what you need and wish to have answers for. Working with a qualified partner like Incept can help ensure that the engagement is tailored to your organization's specific needs and helps to set the foundation for a successful implementation.

Informatica data catalog

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Ongoing monitoring and maintenance of data quality is critical to ensure the ongoing effectiveness of CDQ. This includes regularly reviewing and updating the data quality rules and checks, as well as monitoring and addressing any data quality issues that may arise.

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Ongoing monitoring and maintenance of the catalog is critical to ensure its ongoing effectiveness. This includes regularly reviewing and updating the catalog to ensure that it accurately reflects your current data landscape, as well as monitoring and addressing any data quality issues that may arise.

If you want to test us out and see us in action, we have put together a short 5-day engagement for discovery and high-level planning for a Cloud Data Governance and Catalog (CDGC) or Cloud Data Quality (CDQ) implementation. It involves the following activities

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Once the CDGC platform is set up, you will need to load your data into the catalog and classify it according to your defined strategy. This may involve creating custom metadata fields, taxonomies, and classification rules.