However, the article also points out that many organizations lack a modern operational data layer, resulting in vast amounts of untapped "dark data". This dark data is not only a financial burden but also a cybersecurity threat. The article suggests that investing in a strong operational data layer can unlock the value of this untapped data, making it faster and more cost-effective to launch data-driven applications. It also discusses the growing opportunities presented by AI, which can facilitate the processes involved with architecting an operational data layer and enhance real-time predictions and personalized insights.
Key takeaways:
- Operational data, or real-time information generated from everyday processes, is essential for powering applications that complete immediate tasks and generate insights that help us respond intelligently to the world’s changing conditions.
- Many organizations lack a modern operational data layer or are leaving vast amounts of their operational data untapped, with nearly two-thirds of organizations’ data considered “dark data” that is inaccessible and costly to store.
- Investing in a strong operational data layer can unlock the immense value of untapped data, making it faster and more cost-effective to launch data-driven applications, and potentially boosting productivity by up to 20% and accelerating decision making.
- AI can facilitate the processes involved with architecting an operational data layer, funneling mountains of operational data into AI-powered applications that enhance real-time predictions and deliver personalized insights to end-users.