I am using the solution for spend analytics and contract analytics. I'm specifically using it to understand if there's any contract leakage. In spend analytics, I'm using it specifically for category management. I design category strategies using multiple dimensions from the spend analysis. We also use it for improvements in supplier relationship management, such as on-time payment.
The last project I worked on was for the World Bank. I was tasked with designing the architecture for an e-commerce system aimed at rural people in Mexico, enabling them to sell products. I handled all the requirements and design aspects. The main focus of the project was the implementation of artificial intelligence and effective data management. I proposed IBM Cloud Pak for Data and an update to the cloud platform. Unfortunately, the project was not successful in terms of booking the final customer, as the required products were quite expensive. However, I designed the entire structure and architecture. That was one of my most recent projects. Another ongoing project with Cloud Pak is working on sales proposals for various customers in Mexico. The adoption of Cloud Pak for Data in Mexico is relatively slow compared to Data Station and Information Server, which is faster. The main focus is on projecting sales and managing product renewals in the stores. That's more or less what I'm currently involved with regarding Cloud Pak for Data.
The general use cases are the creation of a data catalogue. The module is called Watson Knowledge Catalog, and the tool is responsible for data profiling, rough data, and quality improvement by business people. You can model the data there, connect the data models with the business processes and create data lineage processes.
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information...
I am using the solution for spend analytics and contract analytics. I'm specifically using it to understand if there's any contract leakage. In spend analytics, I'm using it specifically for category management. I design category strategies using multiple dimensions from the spend analysis. We also use it for improvements in supplier relationship management, such as on-time payment.
The last project I worked on was for the World Bank. I was tasked with designing the architecture for an e-commerce system aimed at rural people in Mexico, enabling them to sell products. I handled all the requirements and design aspects. The main focus of the project was the implementation of artificial intelligence and effective data management. I proposed IBM Cloud Pak for Data and an update to the cloud platform. Unfortunately, the project was not successful in terms of booking the final customer, as the required products were quite expensive. However, I designed the entire structure and architecture. That was one of my most recent projects. Another ongoing project with Cloud Pak is working on sales proposals for various customers in Mexico. The adoption of Cloud Pak for Data in Mexico is relatively slow compared to Data Station and Information Server, which is faster. The main focus is on projecting sales and managing product renewals in the stores. That's more or less what I'm currently involved with regarding Cloud Pak for Data.
Though I cannot provide information on the use cases in detail, I can say that the solution is used for data governance and data quality.
I mainly use Cloud Pak in the FinTech and banking sectors.
The general use cases are the creation of a data catalogue. The module is called Watson Knowledge Catalog, and the tool is responsible for data profiling, rough data, and quality improvement by business people. You can model the data there, connect the data models with the business processes and create data lineage processes.
We have used IBM Cloud Pak for Data for machine learning and data science use cases for various customers.
We are a consultancy company that specializes in data integration and we advise clients on what solutions will best meet their requirements.