When data is the lifeblood of the organisation, quality content is not enough; tried and tested rules, controls and architectures are needed.

A skilled data scientist needs a wide range of skills, advanced qualifications and several years of business experience.

Securing unstructured data in companies as they increasingly strive to be agile is of paramount importance.

Data is at the heart of innovation, but POPI and GDPR might be cutting off, or at least severely curtailing, this lifeblood.

A single view of the customer requires a willingness to change from proprietary methodologies to ones built on open standards.

NetApp's StorageGRID Healthcare solution enables intelligent data management for large pools of patient data, and medical records sharing across healthcare facilities, says Morne Bekker, country manager at NetApp South Africa.

The best data architecture for agility includes a mix of on-premises and cloud physical data architecture.

Keeping data secure can be as daunting as herding cats, unless data governance is approached strategically.

When poor quality data and siloed information impact operational efficiencies, companies generally point a finger at data management.

Striving to become a data-driven company is not enough - strategy is crucial to ensure the data is used optimally.

Data science is a multifaceted field encompassing many disciplines; it takes more than one 'uber-data scientist' to be effective.

The business case for master data management and data quality.