Unleashing Oracle EBS Financial Reporting in Google Cloud Platform & Looker: Enabling Self-Service for Decision Makers

In today’s dynamic business environment, data reigns supreme. Businesses globally are realizing the immense potential that lies within financial analytics, marking it as a fundamental asset for steering informed decision-making and strategic planning. Our recent endeavor witnessed the implementation of a robust financial analytics framework on the Google Cloud Platform (GCP), effectively harnessing data from Oracle E-Business Suite (EBS) to equip businesses with actionable insights.

Understanding the Essence of Oracle Financial Analytics

At its core, Oracle Financial Analytics involves the systematic analysis of financial data, enabling the extraction of valuable insights, facilitating budgeting, forecasting, and empowering decisions. This analytical framework encompasses methodologies such as descriptive, diagnostic, predictive, and prescriptive analytics. By delving into past performance, uncovering trends, mitigating risks, and optimizing strategies, financial analytics serves as a comprehensive toolkit for analyzing an organization’s overall financial health.

Key Components

Key Technical Components of Our Robust Solution

  1. Data Sourcing from Oracle E-Business Suit ( EBS ) & Oracle Hyperion
  2. Successful extraction and processing of critical financial data from Oracle E-Business Suite, ensuring precision and reliability.
  3. Cloud-based Data Storage and Processing on GCP
  4. Leveraging GCP’s scalable infrastructure for efficient storage and processing of large volumes of financial data. Making use of native GCP tools like Cloud Composer and Dataform for data processing and transformation, coupled with Google Cloud Storage and BigQuery for data storage.
  5. Analytics and Visualization using Looker / Looker Studio
  6. Translate complex data into actionable insights, fostering a culture of data-driven decisions using self-service capabilities
  7. Developing extensive Looker explores and data models to facilitate self-service functionalities for users, ensuring all required fields are available in Looker explore.
  8. Cross functional data integrations with Oracle Hyperion
  9. Deploying a seamless process to integrate data from Oracle EBS with Hyperion while ensuring robust security setups for authentication and authorization, allowing access only to authorized users.

Reference Architecture: Core Processes

A detailed overview of our system architecture reveals meticulous processes:

Reference Architecture
Data Extraction & Loading:

Ingesting data from source systems (Oracle EBS and Hyperion) into the SRC schema (Level 0) via the Cloud Composer application. Initial data landing into GCS bucket in CSV format and subsequent insertion into the ODS stage schema, followed by incremental data pulls into the GCS bucket.

Data Transformation and Cleansing:

Cleansing and transformation of data from SRC Schema ( Level 0 ) to STG Schema ( Level 1 ) and RPT ( Level 2 , 3 ) via Dataform jobs.

Reporting & Visualization:

Execution of Dataform scripts on a daily basis to fetch the most recent data from the source, automated through Cloud Composer. BI tools ( Looker, Looker Studio) connected to RPT schema ( Level 2, 3 ) for reporting requirements. ( Example: Balance Sheet, Trial Balance, P&L, FSG, Month-end Closing Reports, AR Aging, AP Aging and others )

What Benefits are Envisioned?

Our solution offers a spectrum of advantages:

Informed Decision-Making:

Empowering stakeholders with timely and accurate insights for strategic decisions.

Operational Efficiency:

Streamlining financial processes, optimizing resource allocation, and identifying cost-saving opportunities.

Scalability and Flexibility:

GCP’s scalable infrastructure adapts to evolving business needs, handling large datasets.

Compliance and Security:

Upholding data integrity and privacy to maintain credibility and trust.

Integrated Solution:

Seamless integration between Oracle EBS, Hyperion and CRM, offering a unified financial data perspective.

Conclusion: Embracing the Power of Data

Our implementation of financial analytics on GCP signifies a commitment to leveraging data for strategic advantage. Through GCP’s robust infrastructure, we enable businesses to make informed decisions, mitigate risks, and foster sustainable growth in an ever-evolving market landscape.

How Data platr Can Support?

Data platr Inc. Google Cloud Partner specializes in data engineering & analytics with pre-built data models for Enterprise Applications like Oracle EBS, Workday, Salesforce to empower businesses to unlock the full potential of their data. Our pre-built enterprise data engineering models are designed to expedite the development of data pipelines, data transformation, and integration, saving you time and resources.

Our team of experienced data engineers, scientists and analysts utilize cutting-edge data infrastructure into valuable insights and helps enterprise clients optimize their Sales, Marketing, Operations, Financials, Supply chain, Human capital and Customer experiences.

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