When organisations embark on their Oracle SaaS journey, they often focus on selecting the right System Integrator (SI) and ensuring the implementation aligns with business goals. While these are crucial, there’s another often overlooked factor that can dramatically impact the success of the project: Data Readiness.
Without adequate preparation, issues with data silos, inconsistencies, and outdated formats can derail the implementation, leading to delays, spiralling costs, and a compromised timeline.
However, a bit of homework before bringing in an SI can make Oracle SaaS implementations not only seamless but astonishingly quick.
Why Data Quality Matters for Oracle SaaS Implementations
Oracle Fusion Applications are built on a foundation of modern, integrated, and standardised processes. To unlock their full potential, clean, consistent, and compatible data is non-negotiable.
The better prepared your data is before the SI starts the implementation, the smoother the journey will be.
Here’s why:
- Data Drives Every Implementation Cycle: From Development (DEV) to System Integration Testing (SIT), User Acceptance Testing (UAT), and finally, Production (PROD), every cycle requires increasing volumes of data. Clean and enriched data ensures each phase progresses seamlessly.
- Avoiding Cost Overruns: Poor data quality leads to time spent fixing issues during implementation, significantly inflating costs.
- Ensuring Timelines Are Met: Without ready data, project delays become inevitable, pushing go-live dates and creating business disruptions.
Steps to Prepare for a Seamless Oracle SaaS Implementation
1. Identify and Consolidate Data Silos
Start by identifying where your data resides. Whether in legacy systems, spreadsheets, or disparate applications, your data must be brought under one roof. Data Management Platforms like DMOneCloud™ by eAppSys, helps automate this consolidation process, saving time and minimising errors.
2. Standardise Data Formats
Oracle Fusion Applications require data in specific formats for smooth integration. Ensure all your data is consistent, cleaned, and standardised. Some obvious key pieces are:
- Removing duplicates.
- Normalising date and currency formats.
- Ensuring naming conventions align across datasets.
3. Enrich and Transform Data
Data must be enriched and transformed into a format acceptable to Oracle Fusion Applications. For example:
- Ensure customer and supplier records are complete and accurate.
- Reformat legacy chart-of-account structures to align with Oracle Fusion’s standards.
4. Perform Data Validation
Run rigorous validation tests to ensure:
- Data integrity across sources.
- Compliance with Oracle’s data requirements.
- Readiness for import into Fusion Applications.
5. Build a Robust Data Governance Framework
Set up processes for ongoing data quality checks during the implementation cycle. This ensures that as more data is ingested into the system, its integrity remains intact.
How eAppSys and DMOne™ Cloud Help
At eAppSys, we understand that data cleansing is the cornerstone of any successful Oracle SaaS implementation. Our proprietary platform, DMOneCloud™, offers advanced data cleansing capabilities to ensure your data is implementation-ready.
Here’s how eAppSys can help:
1. Comprehensive Data Cleansing
- Duplicate Removal: DMOne™ Cloud scans your data to identify and eliminate duplicate records, ensuring clean and consistent datasets.
- Error Detection and Correction: The platform automatically flags and corrects errors such as mismatched formats, incomplete fields, and outdated information.
- Consistency Checks: Ensures that naming conventions, currency formats, and date structures are uniform across all data sources.
2. Data Enrichment
- Enhances incomplete data by filling in missing fields with accurate information.
- Prepares your data for seamless mapping to Oracle Fusion standards, ensuring it meets the application’s requirements.
3. Automation of Data Transformation
- Automates the conversion of data into formats required by Oracle Fusion Applications, drastically reducing manual effort and human errors.
4. Ongoing Data Governance
- Establishes a framework for continuous monitoring of data quality during the implementation cycles.
- Ensures that as new data is ingested, it maintains the same high standards of cleanliness and accuracy.
Proven Expertise
With years of experience in Oracle implementations, eAppSys has consistently delivered results for clients across industries. By focusing on data quality, we have helped organisations:
Reduce implementation timelines by up to 40%.
Save costs by avoiding rework and delays caused by poor data quality.
Achieve a smooth go-live with minimal disruptions to operations.
Benefits of Data Readiness
Organisations that prioritise data readiness before engaging an SI experience several benefits:
- Accelerated Implementations: With clean and formatted data, SIs can focus on configuring and integrating Oracle Fusion Applications rather than troubleshooting data issues.
- Cost Savings: Avoid unplanned costs arising from extended implementation timelines.
- Fewer Disruptions: A seamless go-live ensures minimal impact on day-to-day operations.
- Stronger ROI: High-quality data enables Oracle Fusion to deliver its full potential, driving operational efficiency and better decision-making.
If you’re considering implementing Oracle Fusion Applications, ask yourself:
- Is your data ready to support the implementation?
- Would you like to get your legacy data reviewed?
- Are you equipped to provide your SI with clean, consolidated, and standardised data?
If not, take the time to prepare now. The effort you invest today will pay off in a seamless and quick implementation tomorrow.
At eAppSys, we’re here to help. With our expertise and our proprietary platform, DMOneCloud™ & the Config Accelerator, we make Oracle SaaS implementations smooth, efficient, and cost-effective.
Get in touch today to learn how we can partner with you on this transformative journey.
