Singapore IT jobs could see pent-up hiring after freezes

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Singapore IT jobs could see pent-up hiring after freezes
IT hiring in Singapore will likely stay strong and steady this year, and any upsurge in hiring activity will mostly be due to pent-up demand carried over from initial hiring freezes at companies.The reason why the market will be "relatively vibrant" in 2013 is mainly because employers have had limited IT hiring over the last two years, which has caused demand to snowball, said Roger Olofsson, business director for finance technology, IT and telecommunications at Hays Singapore.Around the same time, the growing adoption of major disruptive technologies such as cloud, big data, social media, and machine-to-machine (M2M) communications has created a need for new or updated IT skills. This applies to end-user companies as well as IT suppliers, Olofsson noted.The Singapore IT jobs market will hold steady in 2013, thanks to hiring demand that snowballed from preceding years of hiring freezes.In the end-user community, businesses are following up on manpower requirements for the various IT investments meant to help boost market share, customer numbers, products, and services, or reduce costs and risks, he explained.On the vendor side, companies want to grow staff strength in sales, pre-sales, and solutions to capitalize on the increased demand among existing and potential customers. System integrators and consulting firms are also expected to hire professionals with abilities to sell and deliver outsourced or managed services, he added.Mark Hall, vice president and country manager at Kelly Services Singapore, similarly forecast the country's IT jobs market to remain largely unchanged in 2013, either staying steady or just inching up slightly. Previously implemented headcount freezes at several multinational corporations (MNCs) are expected to ease off by the second quarter of year, he added, although the majority of the hiring spree would be for IT sales and business development roles.As for specialist technical roles, hiring will also pick up but many will likely be contract based. Companies want skilled project managers, infrastructure managers, and technical architects for core business periods or projects, but without the long-term cost burden of a permanent hire, Hall explained.
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Ford scours for more big data to bolster quality, improve manufacturing, streamline processes
Ford has exploited the strengths of big data analytics by directing them internally to improve business results. In doing so, they scour the metrics from the company's best processes across myriad manufacturing efforts and through detailed outputs from in-use automobiles--all to improve and help transform its business.So explains Michael Cavaretta, PhD, technical leader of Predictive Analytics for Ford Research and Advanced Engineering in Dearborn, Michigan. Cavaretta is one of a group of experts assembled this week for the Open Group Conference in Newport Beach, California.Cavaretta has led multiple data-analytic projects at Ford to break down silos inside the company to best define Ford's most fruitful data sets. Ford has successfully aggregated customer feedback, and extracted all the internal data to predict how best new features in technologies will improve their cars.As a contributor to the Open Group Conference and its focus on "Big Data--The Transformation We Need to Embrace Today," Cavaretta explains how big data is fostering business transformation by allowing deeper insights into more types of data efficiently, and thereby improving processes, quality control, and customer satisfaction.The interview was moderated by Dana Gardner, principal analyst at Interarbor Solutions.Below are some excerpts from our interview.
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How did we get here? What's the process behind the benefits?
The process behind the benefits has to do with a sea change in the attitude of organizations, particularly IT within large enterprises. There's this idea that you don't need to spend so much time figuring out what data you want to store and worry about the cost associated with it, and more about data as an asset. There is value in being able to store it, and being able to go back and extract different insights from it. This really comes from this really cheap storage, access to parallel processing machines, and great software.I like to talk to people about the possibility that big data provides and I always tell them that I have yet to have a circumstance where somebody is giving me too much data. You can pull in all this information and then answer a variety of questions, because you don't have to worry that something has been thrown out. You have everything.You may have 100 questions, and each one of the questions uses a very small portion of the data. Those questions may use different portions of the data, a very small piece, but they're all different. If you go in thinking, "We're going to answer the top 20 questions and we're just going to hold data for that," that leaves so much on the table, and you don't get any value out of it.We're a big believer in mashups and we really believe that there is a lot of value in being able to take even data sets that are not specifically big-data sizes yet, and then not go deep, not get more detailed information, but expand the breadth. So it's being able to augment it with other internal data sets, bridging across different business areas as well as augmenting it with external data sets.A lot of times you can take something that is maybe a few hundred thousand records or a few million records, and then by the time you're joining it, and appending different pieces of information onto it, you can get the big data set sizes.
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