Transform your data into intelligent action

BI migration is the process of moving from a legacy business intelligence platform to a modern solution — enabling better analytics, scalability, AI-powered insights, and improved data governance. BI Modernization goes further by optimizing your data architecture and workflows on the new platform.

BI migration is needed when your current BI tool is old, costly, lacks AI features, cannot integrate data easily, or does not support real-time analytics and cloud collaboration.

GWC starts by reviewing your current BI infrastructure, including your data sources, reports, dashboards, users roles, and business goals. This helps define the migration plan, identify potential challenges early, and ensure the new platform meets your organization's needs.

Yes. Avoid initiating a migration during peak business cycles (e.g. year-end closes, major product launches) or if your current platform fully meets all business needs. GWC will advise you honestly during the assessment phase if migration is premature.

GWC follows a structured ten-phase methodology powered by the GWC Data Migration Accelerator framework: 1. Assessment & planning 2. Data inventory & analysis 3. Data migration 4. Report & dashboard migration 5. Integration with existing systems 6. Security & access control 7. Training & change management 8. Testing & quality assurance 9. Deployment 10. Post-migration optimization

GWC uses a phased deployment approach with parallel-run strategies and real-time monitoring throughout the migration. An incremental migration method ensures data integrity at every step, while dedicated support during go-live reduces the risk of downtime impacting daily operations.

During the data inventory phase, GWC identifies dependencies between sources, reports, and dashboards, then cleanses and transforms data as needed before migration begins. This ensures the migrated BI solution is built on accurate, reliable, and consistent information from day one.

GWC maps existing user roles and permissions to the new platform, applies encryption to sensitive data in transit and at rest, and addresses any security gaps identified during the assessment. The goal is to maintain — or improve — your organization's security posture throughout the transition.

Yes. GWC provides customized training and clear communication to help teams adapt to the new BI platform. After deployment, GWC gathers user feedback and continuously improves the solution to increase adoption and long-term success.

With the legacy BI platform, most BI migrations take between 3 and 9 months. Smaller projects may be completed in a few weeks, while large enterprise migrations can take a year or more. GWC's Accelerator framework helps speed up the process without sacrificing quality.

Key cost drivers include: • New platform licensing fees • Data extraction, transformation, and loading (ETL) complexity • Number and complexity of existing integrations • Volume of reports and dashboards to migrate • User training and change management scope • Post-migration support requirements GWC recommends getting a tailored assessment to receive accurate scoping before budgeting.

BI migration delays are often caused by complex data mapping, unexpected data quality issues, and inadequate change management planning. GWC identifies these risks early through a detailed assessment to create realistic project timelines and budgets.

GWC works with all major platforms, including migrations from Tableau, SAP BusinessObjects, and Microsoft SSRS. On the destination side, GWC partners with Domo, Snowflake, Databricks, and Google Cloud, enabling cloud-native, AI-ready BI environments.

The GWC Data Migration Accelerator is GWC's proprietary framework for BI migration. It standardizes and automates key stages of the migration lifecycle to accelerate delivery, reduce manual error, and ensure maximum business value from the transformation — all while keeping teams in control at every step.

Yes. GWC specializes in cloud-based BI solutions that unlock real-time analytics, enhanced team collaboration, and cost-effective scalability. Cloud migrations also open the door to AI-infused analytics — including machine learning-powered predictive insights — that are not available on traditional on-premise platforms.

GWC integrates the new BI solution with your existing databases, applications, and systems as a dedicated phase of the migration. The aim is seamless data flow and interoperability — ensuring a clean IT landscape with minimal redundancy and no broken data pipelines after go-live.

GWC develops a comprehensive testing strategy covering data integrity, functional accuracy, performance benchmarks, and security validation. Results are used to optimize the environment before deployment, ensuring a seamless user experience from day one and reducing post-launch issues.