Five Methods to Improve Your Strategy for Data Management
Some thoughts and learnings from the pandemic applied to data management.
Firstly, I hope everyone is safe and well. In these times and it makes you think and consider your work balance versus what you do daily and how it somehow relates to the work we all do professionally in data/information management 😊.
Use case for Watson Catalog (part of the IBM Cloud Pak for Data)
Every organisation would like to leverage the power of data they collect to drive insights, to improve efficiency, to become more responsive, to apply machine learning and AI and stay ahead of competition.
Data catalogs form a critical tool in establishing a common glossary of data for data consumers, data creators and data curators. Data catalog provides this centralised glossary and organises enterprise data sets to help data users perform searches for specific data that they need and understand its meta data, such as data lineage, uses, and how others perceive the data’s value.
Get your data ready for AI with IBM Cloud Private for Data
At the Dot Group, we can’t stress enough about the importance of a robust information architecture in order to monetise your data. Artificial Intelligence enabled analytics can provide insights into customer behaviour, business operations and offer a humongous opportunity for business to provide personalised / exceptional customer service, reduce the cost of operations and create offerings to beat competition. However, let’s not forget that AI and analytics are only as good the quality of your data.