EGUIDE:
Fail to prepare, prepare to fail is an adage that never fails to lose its veracity. The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".
RESEARCH CONTENT:
Banks and insurers enjoy a significantly higher level of trust from consumers in the cyber security of their systems than any other sector, but the financial services industry is less confident in its ability to detect security breaches, this report from Capgemini reveals.
EGUIDE:
The value of data depends on its quality. In this 14-page buyer's guide, Computer Weekly looks at how the coronavirus pandemic has highlighted the challenges of inaccurate datasets, the new analytics techniques improving data quality and Informa's use of Collibra software
WHITE PAPER:
Healthcare organizations have not been immune to the impact of big data – but what do these growing data volumes mean for information governance? This resource explores big data integration and governance from the standpoint of three case studies.
EGUIDE:
The value of data depends on its quality. In this 14-page buyer's guide, Computer Weekly looks at how the coronavirus pandemic has highlighted the challenges of inaccurate datasets, the new analytics techniques improving data quality and Informa's use of Collibra software
ANALYST REPORT:
High reliability and system availability are absolutely crucial for database and the underlying server hardware. See where your company fits in among market leaders that have analyzed their database environments in the ITIC 2013-2014 Database Reliability and Deployment Trends Survey.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
WHITE PAPER:
Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
