1 External data | Huge volume of data from external stakeholders | One single source of truth for all external data |
2 Data validation | Current software capture first, then cleanse, involving large back-end teams | Validate at source, with considerably less back-end resources and time needed |
3 Applications | Large number of applications running, capturing and storing data | One platform to streamline all data using workflows and use-cases |
4 Workflow customization | Hue resources needed as a result of custom workflows required for each type of data captured. | No-code, easy-to-configure workflows |
5 Compliance | Challenging to manually track compliance for each geo with regulatory compliance on data use | Compliant in each geo |
6 Multi-platform | Need for multi-platform data entry and management, on mobile, web, laptops and other devices | Natively multi-platform and device-agnostic |
7 Type of system | Legacy systems are rigid and inflexible. | Cloud-native, low-code and flexible |
8 Resource intensive | Changes need re-configuration, and a team of expert consultants | DIY, no-code, either implementation team or Partners can do the config in 1 - 3 days |
9 Continuous compliance | Not possible due to lack of connectivity with the compliance APIs | Not possible due to lack of connectivity with the compliance APIs |
10 LIfe-cycle management | Siloed applications make lifecycle management almost impossible. Results in lack of 360 degree view of the master data | Single platform with ability to orchestrate processes for life-cycle management - hence providing 360 degree view of the data |