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We strongly believe in Agile Scrum for planning and tracking our projects because it promotes transparency, continuous feedback, and faster problem resolution. For medium to large-scale projects, we always provide internal project management to ensure timely delivery and seamless coordination between our team and yours.

We are not limited to specific industries; instead, we begin with an optimal workflow and leverage our in-house accelerators. However, we have a strong background in the public sector, manufacturing, life sciences, the automobile industry, and digital industries at the enterprise level.

Due to the fragmented technical landscape, there is often confusion about best practices, which delays or even hinders the delivery of data projects. By starting from our end-to-end reference architecture, we ensure that the various activities within data platform operations are carried out most efficiently. This helps keep the total cost of ownership (TCO) of your data platform under control while keeping options open to future new use cases.

We work best with our preferred ecosystem partners who enable us to deliver high-quality, future-proof solutions that we truly believe in—such as Snowflake, dbt, and AWS. Through experience, we have also learned which technology combinations work well and which do not. Our approach is pragmatic and solution-oriented, starting from your current "as-is" situation.

We can migrate just about any traditional relational database to a modern, future-proof data platform. And we support a range of industry-leading tools for data transformation, including: SAS DI, SQL, IBM DataStage, etc.