For those who have been through the journey, what has your experience been on the following? We are in the process of developing a comprehensive strategy for Oracle Fusion SaaS journey and have few questions around Data( i.e. Data strategy [Conversions, Tools and Technology used for extractions out of Fusion cloud to snowflake, etc.])

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Director of Finance in Consumer Goodsa year ago
Its a very good tool for HR to manage employee lifecycle journey. Its going to give tough competition to tolls like workday. Our experience of using the tool has been wonderful.
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India Head and Director of Global Finance Shared Services in Hardwarea year ago
I can describe some strategies for Oracle Fusion SaaS around data, tools and technologies usage. Here are some strategies to consider:

1. Data Governance and Security:

Establish a robust data governance framework to ensure data quality, security, and compliance with industry regulations and internal policies.
Implement role-based access controls to provide data access to authorized users only.
Encrypt sensitive data during transit to protect it from unauthorized access.
Regularly audit data access and usage to identify and mitigate potential security risks.

2. Data Integration and Migration:

Evaluate and utilize Oracle's data integration tools to seamlessly integrate data from various sources into Oracle Fusion SaaS applications.
Plan and execute data migration carefully to ensure a smooth transition from legacy systems to Oracle Fusion SaaS, minimizing data loss and downtime.

3. Data Analysis and Reporting:

Leverage Oracle Analytics Cloud (OAC) or other compatible reporting tools to gain insights from your data and create meaningful reports and dashboards.
Encourage end-users to explore self-service analytics capabilities, enabling them to make data-driven decisions.

4. Data Backup and Recovery:

Implement a robust data backup strategy to safeguard against data loss due to accidental deletion, system failures, or security breaches.
Regularly test data recovery processes to ensure data can be restored effectively if needed.

5. Data Archiving and Purging:

Define data retention policies and archive historical data to maintain optimal system performance and reduce storage costs.
Implement data purging processes to remove outdated or unnecessary data regularly.

These are general strategies, and the specific approach will depend on your organization's unique requirements, goals, and existing technology landscape. It is always beneficial to consult with Oracle experts or certified consultants to tailor the strategy to your specific use case.

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Director of Finance in Manufacturing8 months ago
Our company is currently going through the journey of moving to Oracle Cloud and Snowflake. As part of this data migration, we have hands-on experience developing comprehensive data strategies to converge and integrate information across these two systems. A key learning is the importance of thoroughly mapping data definitions and attributes across different business units using strategic partner working groups. For example, for procure-to-pay use cases, we had multiple meetings to align definitions for suppliers, items, invoices, and other key data elements. This ensures reporting and analytics built on top of the integrated data have a consistent baseline. We also use data convergence tools like Collibra which maintains a centralized data dictionary to document the agreed definitions from our mapping workshops. This dictionary helps provide clarity for any employee-building reports or analytics that may utilize data from multiple systems.

The mapping process also reveals complexity when something may be called an "item number" in one system and a "product number" in another system. Normalizing these attributes is an intricate but critical exercise. In summary, key aspects of our experience include aligning definitions with cross-functional input, utilizing data convergence tools to aid normalization, and investing time upfront in thorough data mapping between source systems to set the foundation for analytics. Let me know if any specific aspects would be helpful to elaborate on further.
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CIO in Healthcare and Biotech3 months ago
I have gone through the similar situation twice in two different organisation , where in one implemented SAP and other one it was Oracle Fusion.
I'd prefer and suggest to follow following steps :-
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