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"Outside of a dog, a book is man's best friend. Inside of a dog it's too dark to read."

Groucho Marx

“Knowledge has become the key economic resource and the dominant, if not the only, source of competitive advantage.”

Peter F. Drucker

"Any fool can make things bigger, more complex, and more violent. It takes a touch of genius - and a lot of courage - to move in the opposite direction."

Albert Einstein

“We should not only use the brains we have, but all that we can borrow.”

Woodrow Wilson

“If you don’t have a competitive advantage, don’t compete!”

Jack Welsh, CEO, General Electric

“Above all else show the data”

Edward Tufte in “The Visual Display of Quantitative Information”

"Nobody ever washes a rental car. Without established data ownership, don't expect clean data."

Unattributed

NEWS

Harnessing the Power of Predictive Maintenance

Posted on Jan 13 2014

Harnessing the Power of Predictive Maintenance

Harnessing the Power of Predictive Maintenance

As industries and governments turn toward greater mechanisation and become increasingly reliant on technology, the need to keep systems running smoothly has never been as critical as it is today. A simple software flaw can bring a multibillion rand manufacturer to a standstill within minutes. One crack in a cog can destroy an oil rig in seconds. Never before has technology been so central to both safety and success, and the stakes so high.

Both governments and business executives have recognised this, and are looking for ways to reduce risk and standardise their approach to maintaining and improving critical technology and infrastructure. One of the traditional bugbears has been figuring out how and when to schedule maintenance – start work too early and you waste precious time and resources; start too late and you can put entire systems at risk. While scheduled maintenance has been the only real “solution” to the problem, it has proven to be an imperfect one.

To read more, download the PDF below.


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How to harness the power of predictive maintenance

Posted on Oct 24 2013

How to harness the power of predictive maintenance

 How to harness the power of predictive maintenance

As industries and governments turn toward greater mechanisation and become increasingly reliant on technology, the need to keep systems running smoothly has never been as critical as it is today.

A simple software flaw can bring a multibillion Rand manufacturer to a standstill within minutes. One crack in a cog can destroy an oil rig in seconds. Never before has technology been so central to both safety and
success, and the stakes so high.

Both governments and business executives have recognised this, and are looking for ways to reduce risk and standardise their approach to maintaining and improving critical technology and infrastructure. One of
the traditional bugbears has been figuring out how and when to schedule maintenance – start work too early and you waste precious time and resources; start too late and you can put entire systems at risk. While
scheduled maintenance has been the only real ‘solution’ to the problem, it has proven to be an imperfect one.


Read more

Proactive Diagnosis - Engineering News, 18 October 2013

Posted on Oct 24 2013

Proactive Diagnosis - Engineering News, 18 October 2013

Proactive Diagnosis - Engineering News, 18 October 2013

Predictive maintenance technologies can help companies effectively extend the use of assets, improve their performance, increase their safety and prevent unplanned downtime, says business intelligence consultancy BITanium Analytics director Nadine Shenker.

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Actionable Insight from Data

Posted on Oct 24 2013

Actionable Insight from Data

Actionable Insight from Data

In days gone by, business owners were able to determine and anticipate the behaviour and actions of their customers without the requirement for specialised technology. Not only was the data limited in terms of variety of content but the speed in which decisions were expected was days or even weeks and hence "gut feel" based decisions were acceptable and generally reliable.

Download the PDF below to read more.


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