#decision-making

Organizations possess massive amounts of unstructured enterprise content, such as customer research, campaign data, transcripts, and institutional knowledge, which has historically been difficult to access efficiently, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/).

Organizations have long treated enterprise content as a storage issue, with documents organized and archived across shared drives, PDFs, presentations, and internal systems, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/).

Organizations have built large libraries of customer research, campaign data, transcripts, and institutional knowledge stored in shared drives, PDFs, presentations, and internal systems, according to [MarTech](https://martech.org/you-could-already-have-the-data-ai-needs-to-deliver-value/). Teams often search through folders and reopen old reports to piece together information manually across disconnected systems, making it difficult to use existing data efficiently when decisions are needed.