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Analyse this: Three ways Singapore businesses can use data to drive productivity

Simon Davies, Area Vice President, ASEAN, Korea & Greater China, Salesforce | April 24, 2015
Simon Davies, Area Vice President, Salesforce, ASEAN, Korea & Greater China, shares three ways Singapore businesses can take advantage of analytics to help drive the much needed productivity leap.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

Singapore's labour productivity has been a common cause for concern in recent years. According to figures from the Ministry of Manpower, labour productivity contracted 0.8 percent in 2014 despite local employment rates having grown by 96,000. To turn this around, businesses have been encouraged to adopt less labour-intensive processes and explore more innovative solutions instead.

At this year's budget debate, Deputy Prime Minister and Finance Minister Tharman Shanmugaratnam promised more support for enterprises investing in innovation and research & development, citing the use of data analytics as one of the ways businesses can innovate. This is very much in line with Singapore's plans for becoming a data analytics hub. Leveraging big data to boost innovation plays a critical role in enabling Singapore to achieve its vision of becoming a Smart Nation.

Analytics is one crucial component to enabling businesses to be smart about data. Here are three ways Singapore businesses can take advantage of analytics to help drive the much needed productivity leap:

Internet of Everything

With trends like the Internet of Things and the proliferation of mobile and wearable devices gaining momentum in recent years, the number of touch points businesses have with their customers has increased drastically. The resultant mass acquisition of customer data through these mobile applications and shared data platforms will be one of the key drivers for the data analytics market this year, according to IDC. Consequently, there is a greater need for powerful data analytics tools that can capture and analyse large amounts of customer interactions, then translate them into real-time, actionable insights, for any business user and accessible across all channels at scale.

With the right data analytics platform in place, businesses can ensure greater efficiency and flexibility in the way they respond to end-user requests and market opportunities. This would enable businesses to adapt to market changes more nimbly, thereby delivering greater customer satisfaction. It's time for business leaders to start running their businesses from their devices and they need real-time analytics to do it.

Power to you and me

The sheer amount of data generated through both mobile and shared data platforms has also created large pools of structured and unstructured data, both within and outside the enterprise. To deliver real-time insights, these pools of data need to be broken down and analysed quickly, in real time.  Increasingly, business owners are demanding more meaningful insights and information that would help drive strategic decision making with a shorter turnaround rate, in order to stay ahead of the competition.

This need has shifted the power of data from data scientists to key decision makers and users who are directly involved in driving the business, and would therefore be able to better identify information crucial to the business' strategic direction. Consequently, businesses are turning towards platforms that are capable of delivering greater usability and flexibility.


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