They seek to harness the immense
Posted: Thu Feb 13, 2025 7:03 am
The information in our world is increasingly unstructured and distributed geographically. Now more than ever, organizations need the ability to move their unstructured data out of silos and across platforms to make it more accessible and unlock its value and usefulness. Structured data has traditionally been meticulously organized, categorized, and stored, facilitating basic data analytics. However, this approach fails to meet the requirements of the vast volume and diversity of enterprise data generated today.
The fact that the majority of data is unstructured and not organized in a switzerland whatsapp number data predefined manner makes it difficult for enterprises to really understand what they have, but more importantly, to find and extract the value held within their digital assets. International Data Corporation (IDC) estimates that upwards of 90% of business information is likely to be formed of unstructured data by 2025.
Today’s enterprises are under extreme pressure to gather insights from all their data. potential of unstructured data, including various information sources and formats such as documents, images, videos, and social media posts. The challenge lies in efficiently managing, organizing, and analyzing this data, which often resides in disparate systems and formats. As data volumes, variety, and speed requirements surge, traditional data architectures need more agility and scalability to keep pace.
The fact that the majority of data is unstructured and not organized in a switzerland whatsapp number data predefined manner makes it difficult for enterprises to really understand what they have, but more importantly, to find and extract the value held within their digital assets. International Data Corporation (IDC) estimates that upwards of 90% of business information is likely to be formed of unstructured data by 2025.
Today’s enterprises are under extreme pressure to gather insights from all their data. potential of unstructured data, including various information sources and formats such as documents, images, videos, and social media posts. The challenge lies in efficiently managing, organizing, and analyzing this data, which often resides in disparate systems and formats. As data volumes, variety, and speed requirements surge, traditional data architectures need more agility and scalability to keep pace.