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To streamline the project timeline, we reduced the number of reports based on relevance. Without an initial data pipeline, we developed a unified data model for the organization. Each report was evaluated against this model, and missing datasets were integrated to construct a comprehensive financial reporting system.
The Hyperauto option swiftly connected to pertinent data sources, enabling transformative processes. Datasets from the Common Data Model were tailored to each report. Palantir's robust application tools facilitated significant progress in amalgamating reports by leveraging interconnected object types.
The digital twin concept proved invaluable, retrieving information not only from SAP but also from other data sources to enrich reports. This approach ensures critical information isn't overlooked, providing a nuanced understanding based on limited yet relevant data.
- Streamlining the project timeline necessitated a reduction in the current number of reports based on relevance.
- The Hyperauto option was instrumental in establishing swift connections with pertinent data sources.
- The digital twin concept proved invaluable, allowing not only the retrieval of information from SAP but also from other data sources, enriching the reports.
Integrating essential data sources creates a vast datapool, unveiling new business insights. Data lineage and interconnected objects in the Ontology offer extensive opportunities for rapid and detailed reporting and analysis. This is especially powerful when supported by a comprehensive common data model representing the organization's digital assets.
Incorporating low-code tooling not only gives developers access to data but also empowers business users to explore the intricacies of business data. This democratization enables employees to extract knowledge from accumulated data sources, adding value to current reports and future use cases. It creates a dynamic environment where historical insights can be leveraged for ongoing and upcoming business needs.
- The relevance of the existing reports is assessed, leading to a substantial reduction in their number.
- For each report, essential datasets are meticulously constructed as integral components of the newly developed data model.
- Transformations within the data lineage are undertaken on a per-report basis, culminating in the availability of a supporting dataset.
- Tailored business logic is devised for each individual report in alignment with operational requirements.
- Contour is predominantly employed for reports geared towards viewing, while for intricate operational reports, the combination of Quiver and Workshop proves to be applicable.
- The Carbon application is deployed to grant specific user groups with designated roles access to their respective reports, ensuring a secure and organized approach to report accessibility.
- Integrating all essential data sources forms an expansive datapool, unlocking the potential for entirely new business insights.
- The incorporation of low-code tooling not only grants developers access to the data but also empowers business users to delve into the intricacies of business data, exploring the underlying factors.
- The relevance of the existing reports is assessed, leading to a substantial reduction in their number.
- For each report, essential datasets are meticulously constructed as integral components of the newly developed data model.
- Transformations within the data lineage are undertaken on a per-report basis.
- Tailored business logic is devised for each individual report in alignment with operational requirements.
- Contour is predominantly employed for reports geared towards viewing, while for intricate operational reports.
- The Carbon application is deployed to grant specific user groups.