MMP Conference looks at how technology can help mining and manufacturing industries survive

Johannesburg, South Africa  (12 Nov. 2008)  –  In this competitive world, companies can no longer rely on low prices, high quality and on-time delivery alone to keep them on top. While we were able to rely on these factors a decade ago, they are now just requirements to stay in the game.

This will be the key message provided by Goran Dragosavac, national product manager of Analytical Intelligence at SAS Institute, when he presents at the inaugural Mining, Manufacturing and Process (MMP) conference.

The conference will kick off on 12 November at The Forum in Bryanston with the aim of enlightening delegates to the knowledge of key global trends in technology, and how they can profit from practical application of best technology practices.

“I want to explore how marrying the data within your existing applications and systems can provide you with a single view of your company data. This in turn allows companies to better manage supply chain relationships, monitor stock, forecast effectively, and manage operational risk within your business,” says Dragosavac.

Goran Dragosavac is the product manager for SAS Analytical Intelligence solutions at SAS Institute South Africa. He has an MS degree in statistics and computer science (machine learning), and is proficient in analytical methods, inferential statistics, data mining, text mining, forecasting, exerts systems application and agent-based systems.

He has worked on projects in the areas of credit risk, fraud detection, customer retention and policy-lapse prediction and has extensive experience in building industrial-strength applications of high-level analytics across the retail, manufacturing, mining, government, banking and insurance industries.

Alongside Dragosavac, the MMP conference will host leading international and local analysts, consultants and end-users. Aimed at CEOs, CIOs, CTOs and engineering professionals, the event will ask pivotal questions around how to benefit from and work through the current credit crisis.

“Facing current economic storms, the mining and manufacturing industry could benefit from harnessing the knowledge their data possesses, however, with a myriad of systems already running the day-to-day processes of a company it is often difficult to identify mechanisms to make efficiencies leaner,” says Dragosavac.

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