Schemarise

The Schemarise founders have decades of experience in building proprietary data modelling tools and data architecture platforms at some of the world’s leading financial institutions’ core technology teams. These transformed how organisations use data and deliver applications, which led to significant operational efficiencies and numerous other benefits. Organisations have number of challenges around data: ▪ Inconsistent data format and lack of data lineage. No clear definition of published data by multiple sources, and some publishing poor quality data with no/limited validation with multiple data models stored in various static forms e.g. Confluence, Excel and data model diagrams. ▪ Poor business operating efficiency. Reliance on manual interventions - work handling exceptions, reconciliations and correcting breaks in data processing as data validations done late at integration or reporting layers. ▪ Duplication of work. Applications that use the same or similar data require bespoke development effort due to application-specific approach to handling data. Often these siloed efforts driven by regulatory compliance needs. ▪ Inflexible architecture. Introducing data attributes or new datasets required by business users is costly and takes a very long time to incorporate into applications. ▪ Inability to coherently harness value from data. Data of different formats, quality and complex lineage means trying to gain insights from data is very difficult. Quality of Analytics and AI/ML on poor data is equally poor. We will help you address all the challenges above and translate data strategy into tangle deliveries.