Data Management
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Intelligent data management is key to any digital business

In the data-driven era, the ability to manage business data intelligently needs to start by focusing on making the data useful.

Mar 14, 2019

Metadata management is a science

Meta analytics is the new model for enabling complete data and process oversight.

Feb 18, 2019

Dawn of the data curator

Data management is a must, but does the rapid increase in the amount of data being generated mean that businesses need to consider hiring a dedicated data curator?

Nov 21, 2018

Avoiding the data spaghetti junction

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


Race is on for the data science maestro

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

Jul 12, 2018

Securely exposing data in agile organisations

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

Jul 10, 2018

Unintended consequences of POPI, GDPR

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

May 23, 2018

Open, single and ready to mingle

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


Data management use in controlling foodborne diseases

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.

Oct 11, 2017

Data architecture goes agile

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

May 31, 2017

Data in transit raises security risks

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


Don't blame data management

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

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