Migrate without the headache
How does Konekti help you to migrate your process data models?
Reasons to migrate
At some point in your process mining journey, when you’re scaling process mining or afterwards, you’ll likely face the need for data model migration. Why? There are a couple of triggers for a migration discussion to start.
How does Konekti help you to migrate your process data models?
Meet deadlines while ensuring continuity
Migrations are often under tight deadlines; the longer they take, the longer both platforms run in parallel, the higher the costs and complexity of the migration. At the same time, business operations often depend on uninterrupted process insights, leaving no room for delays.
Konekti reduces migration time by:
Providing query optimization out of the box: Queries designed for one platform’s strengths may underperform on the new platform. Poor migration can lead to performance bottlenecks that require significant rework to resolve. Konekti outputs production-ready code for different platforms, so your team doesn’t have to worry about optimization.
Preconfigured settings for different process mining analytics tools: Each platform uses specific data model structures, requiring significant effort to map and transform existing models to align with the new platform’s requirements. Konekti comes with preconfigured settings for the most popular process mining tools, omitting the time normally required for this.
To ensure continuity, Konekti minimizes delays and downtime with:
Built-in data quality checks: migrations require long data revalidations, as issues in data quality might resurface when adapting to the new platform. Konekti includes automatic data quality checks to ensure accuracy and integrity.
Stakeholder-friendly overviews: ensuring trust in the new data models by providing clear visuals of the data models for easier validation.
Meet deadlines while ensuring continuity
Migrations are often under tight deadlines; the longer they take, the longer both platforms run in parallel, the higher the costs and complexity of the migration. At the same time, business operations often depend on uninterrupted process insights, leaving no room for delays.
Konekti reduces migration time by:
Providing query optimization out of the box: Queries designed for one platform’s strengths may underperform on the new platform. Poor migration can lead to performance bottlenecks that require significant rework to resolve. Konekti outputs production-ready code for different platforms, so your team doesn’t have to worry about optimization.
Preconfigured settings for different process mining analytics tools: Each platform uses specific data model structures, requiring significant effort to map and transform existing models to align with the new platform’s requirements. Konekti comes with preconfigured settings for the most popular process mining tools, omitting the time normally required for this.
To ensure continuity, Konekti minimizes delays and downtime with:
Built-in data quality checks: migrations require long data revalidations, as issues in data quality might resurface when adapting to the new platform. Konekti includes automatic data quality checks to ensure accuracy and integrity.
Stakeholder-friendly overviews: ensuring trust in the new data models by providing clear visuals of the data models for easier validation.
Prevent escalating implementation costs
The costs for migrations often spiral beyond the initial budget due to unforeseen complexities. Often, these complexities lie in the data transformation. Konekti helps you to migrate data transformations faster and with higher quality, reducing cost overruns.
Enable collaboration across teams involved
Rebuilding and revalidating the data models requires deep technical knowledge and extensive collaboration with end users. Konekti fosters collaboration, enabling data engineers to collaborate on the model in real-time. In Konekti, they create a single source of truth of the process data landscape that is easy to validate and shared across teams and divisions.
Adjust to the cost model of the new platform and reduce operational costs
Often, process mining analytics platforms charge by data volume, while most data warehouses charge by compute. Hence, when shifting the data models from process mining analytics tool to data warehouse, query optimization is extra important. Konekti helps to avoid unexpected costs by delivering query optimization out of the box.
Once more, then never again
Next to helping you perform the migration at hand, Konekti gives you the flexibility to run the data models on any platform. This allows you to avoid being locked into a single process mining vendor, reduce costs by exploring more cost-effective solutions, and adopt new tools as business needs evolve.
Ready to see Konekti in action? Book your demo!
seeing is believing
Rethink your process data transformation
Great examples, but how can Konekti help you get the right process insights faster? Get Konekted with Lotte, see Konekti in action and discover how it can benefit your organization.
seeing is believing
Rethink your process data transformation
Great examples, but how can Konekti help you get the right process insights faster? Get Konekted with Lotte, see Konekti in action and discover how it can benefit your organization.