Enterprises are grappling with how to manage large data volumes and optimize data management and analytics processes. Traditional approaches can no longer keep pace with the increasing complexity of data sources and the need for real-time insights - and there’s a lot of uncertainty about how to scale without increasing complexity.
The issues aren’t necessarily about the data itself; they relate more to what’s happening around the data:
- No central view of data assets, their location, ownership, meaning or value
- Lack of detailed documentation about the data contained within various platforms
- Inability to achieve compliance with industry standards, regulations or laws
- Limited understanding of data quality, and the impact of poor data quality on operational processes and business decisions