Archive for April 29th, 2015

  • Predict the future, ITWeb

    The ephemeral torrent of big data streaming across networks, mobiles, wires and inboxes every second of every day is a powerful source of information if harnessed correctly. Data technology continues to evolve, but its adoption is fragmented and much of the value inherent in all of this information is lost. Advanced analytics is the key to grabbing hold of this data and using it to make informed business decisions, transforming the way organisations plan, interact and grow. “Advanced analytics is the extensive use of data, statistical and predictive models and other kinds of business simulation alongside daily, fact-based management to drive decisions and actions,” says Suren Govender, MD of Accenture Analytics. “Our clients face some real challenges in their businesses today and with advanced analytics, we assist them in harnessing and using diverse data sources at their disposal to give them a real competitive edge in their industries.”
    Delving into the depths of advanced analytics provides the organisation with significant advantages. It can refine productivity and efficiency through improved operational intelligence and near real-time responses. Insight is shared across enterprise silos, building comprehensive overviews of both structured and unstructured data. It can improve return on investment and inspire innovation throughout the enterprise with visualisation and the elimination of redundant infrastructure.

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  • The dawn of data science, ITWeb

    For the great explorers of the past, navigation without a compass would have been unthinkable. Today, not only are we able to determine in which direction we’re headed, but we have a wealth of other useful information at our fingertips. From location co-ordinates, to weather conditions, terrain, traffic congestion, crime hotspots and toll roads, we’re able to plan our journeys down to the smallest details. But, unless you have the necessary ways and means of managing and interpreting this information overload, you will still be lost.

    The same can be said for businesses, says Armandè Kruger, regional sales director at PBT Group.The business that has the correct information first and has the best ability to derive value from it and act on it will be the one that outperforms its rivals.” Kruger believes business owners with money to invest this year should be spending that extra cash on big data analytics.

    A company’s data is one of its most important assets, and yet data management remains a headache for most, says Jason Barr, divisional manager of storage and availability at XON. With the exponential growth of data, IT departments often struggle to come up with an effective data management strategy, especially one that is secure, reliable and cost-effective. One of the key steps, notes Barr, is to avoid operating in silos because this hinders a business’ ability to create a holistic approach to management. Data management should ideally span from inception to expiration. The goal must be to close the gap between the business and IT systems, he continues.

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