Many organizations want to start using AI to help answer business questions, such as "What are this month's sales?", "How much budget is left?", or "Which dataset is the latest figure that executives should use?" However, when looking back at the data, they find that key information is still spread across multiple systems, files, and departments.
When the same data exists in multiple versions or is not updated simultaneously, questions like “Which data is the latest?” and “Why do the numbers not match?” still arise. This is because AI can process data quickly, but it cannot decide on behalf of the organization which dataset should be used if the source data is still unclear.
Before choosing which AI to use, organizations should first look back at their data foundation: where key data comes from, who maintains it, and whether all parties are referencing consistent data.
Available data should be linked, up-to-date, clearly sourced, and traceable. This helps reduce redundant data entry, minimizes versioning issues, and ensures that each party can access data that is ready for further use.
When the data foundation is ready, the benefits do not only occur with AI. Organizations can also extend data to dashboards for a holistic view, and to automation to reduce workflow steps, before bringing in AI to help analyze and answer business questions more effectively.
Because the goal is not just for AI to "respond quickly," but to enable AI to answer based on information that the organization trusts and can actually use to make decisions.
If your organization is planning to connect data and set up a management system to prepare for further expansion into AI, you can inquire or schedule a system demonstration with the INFOPRO team.
Tel. 088-555-9632
