The Risk Ahead
Do You Truly Understand the Risk Ahead in Your Implementation Journey?
The decision to switch systems or implement new software is not taken lightly. You've already made a significant investment in both time and capital. But what if, before you've even started, you've inadvertently added risk to your implementation?
The data migration phase of any software implementation is its heartbeat. According to industry statistics, 83% of data migration projects fail to meet their projected timelines. And those that do, often compromise on testing and quality. This is a daunting statistic, especially when millions are at stake. Is this a risk you're willing to take?
Optina is not just another vendor.
We are s a symphony of experienced professionals, many of whom were the brains behind the award-winning "Launch" platform, a name synonymous with success and innovation in the industry. At Optina, we've been where you are, and we know the pitfalls.
Our Philosophy: People First. Optina is built on a bedrock of respect, trust, and an unwavering commitment to its team. We believe that by treating our employees as our most valuable assets, we ensure that they treat our clients with the same unparalleled care. From offering 100% benefits coverage to no cap compensation plans, every member of our team is not just an employee but a stakeholder in our journey.
Why does this matter to you? When you have a team that's looked after in every conceivable way, you have a team that goes above and beyond for its clients. Optina's commitment to its customers is evident in our flexible pricing models, commitment to staying on budget, and our emphasis on forging meaningful, profitable strategic relationships.
IDENTIFY
- Analyze the relevant data across your application landscape
- Generate detailed data statistics and facts for every data element in every relevant table/file
- Report invalid data scenarios
- Summarize unique data patterns in key data elements
- Identify additional data-related anomalies
EVALUATE
- Understand redundant data within an individual application and across multiple disparate applications
- Review and quantify missing, erroneous, and inconsistent data
- Consider all data conversion needs (additional data loads, historical data, Go-Live Must Have
- Gather metrics summarizing identified data errors
- Compare legacy data against data governance standards
- Review the common issues and critical go live scenarios
UPSKILL OR PIVOT
- Evaluate skill-sets in key areas (Extraction, Translation, Transformation, Tools, QA and more)
- Learn ahead of time where your best long term investment is (Data Conversion happens once Data Transformation is ongoing)
- Establish customized Optina milestones to evaluate and assess project status and health
- Learn more about Optina Data Conversion Management Software
PREPARE
- Review detailed findings with the project team and issue recommendations
- Define a data quality strategy that outlines cleansing recommendations for each distinct error
- Provide guidance regarding historical data
- Brief project leadership regarding potential risks