These experimental statistics aim to better meet users' needs for early indication of data trends. They are likely to evolve further as methodological assessments continue and the indicators further developed.
Multifactor Productivity
DOS publishes annual data on multifactor productivity (MFP) using total employment and net fixed capital stock as measures for labour and capital inputs respectively. As part-time and other flexible work arrangements became increasingly prevalent, DOS developed an experimental data series for MFP using total actual hours worked as the measure for labour input. Read about the MFP concepts and methodology, as well as key findings on the experimental MFP series from the article 'Multifactor Productivity: An Experimental Series on Using Total Actual Hours Worked as a Measure for Labour Input' 
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Internet Economy
Leverage Big Data and machine learning to profile and measure Singapore's internet economy. The information obtained through text mining online sources can be combined with survey and administrative data to provide further insights on the profile of enterprises in Singapore with and without internet presence.
More information is available from the article on 'Using Big Data to Profile Singapore's Internet Economy' (917kb)
Business Locations
Leverage administrative data to provide insights of geographical distributions of firms.
More information are available at:
Know My Industry - Retail Trade
Know My Industry - Food & Beverage Services