SAS Indonesia Powered Big Data Solution for Public Services
The term and use of ‘big data’ is nothing new. In fact, more and more institutions, including governmental agencies, are beginning to utilize big data and associated analysis approaches as a way to gain information to support better decision-making. To take full advantage of big data, government must have the right tools to better understand the continuum of past and present with a focus on the future. This is where big data analytics positions governments to harness the power of big data.
In today’s data-driven world, big data that shapes policymaking will continue to increase in volume and variety. Back in 2012, the amount of generated and replicated information exceeded 2.8 zettabyte (2.8 trillion gigabytes) which marked 9 times growth within 5 years1. This towering figure will keep on rising as it is forecasted to grow 50 times higher in 2020. Taking this debate into business spectrum, the global big data market value is predicted to be hitting USD 53.4 billion in 2017, according to Wikibon’s Big Data Market Forecast 2012-20172. On the top of that, Gartner research agency also predicted the use of data analytics will increase by 70% in 2020, which stamps in parallel with the emerging realization of analytics utilization among diverse business functions3.
“Emerging Big Data technology makes it to the commercial marketplace at an increased pace and will get even more compelling with times. The more data captured, the more potential value awaits for any institutions to process and mine, if they have the right skill and tools. To store, data prepare, explore & provide advanced analytics to massive dataset requires integrated solution with deep understanding of Big Data analytics, leveraging on latest in-memory and computing technology. Therefore in SAS, we are fully committed to provide an robust and scalable solution that help institutions extract maximum value from big data,” said JJ Tan, Big Data & Analytics Leader SAS South Asia.
In partnership with Intel Indonesia and MapR, today, SAS held Big Data Solutions for Public Services Seminar. The event further highlighted SAS commitment in empowering big data solutions across wide varieties of governmental agencies, as it was attended by IT practitioners and representatives from Center of Data and Information System (PUSDATIN), Center of Information System and Financial Technology (PUSINTEK), Directorate of Information Technology (DIRTI) and many more.
“Whether it is big data or traditional data in operational systems, data is an asset that policymakers have. Managing data is no longer a convenience, as it is now a necessity. Utilizing Data Management is the answer to solve data integration and data quality challenges. Data Management helps turning big data into big value and allows policymakers get data access, data quality, and data integration from a single platform,” said Peter Sugiapranata, Sales Director SAS Indonesia.
Many governmental leaders have learned to trust the value that analytics can offer in transforming external data into evidence, and then translating that evidence into policies. To get there, they must be able to turn their data into the type of evidence that can be used to make policy decisions. Governments will need to embrace analytics technology to get the full value of this setting.
“When it is crucial to incorporate good data at every stages of policymaking process, policymakers can use analytics to get even more value out of the data they collect. Taking this approach positions policymakers to deliver the best possible results from all of their efforts,” said Yadi Karyadi, Enterprise Solution Business Development Manager of Intel Indonesia Corporation.
To help institutions make sense of the growing data, it is critical to adopt analytic solution that provides an interactive user experience which combines advanced data visualization, an easy-to-use interface and powerful memory technology. This lets policymakers visually explore data, execute analytics and understand what data means. At the next phase, they can create and deliver reports wherever needed via the web, mobile devices or Microsoft Office.
For example, UK and Canada have a social network application called FixMyStreet that asks citizens to voluntarily tell government agencies about any problems with their streets. By using social network analytics, it promotes citizen engagement and it quickly pinpoints problem areas because it speeds processes and reduces the cost of sending workers out to randomly inspect city streets. Governments get cost saving because the quality of their data is better, which streamlines planning about when and how to repair the streets.
Another successful implementation of analytics was also performed by Belgium government. A financial crime, which involves multinational networks to exploit the weakness in value-added tax (VAT) system called carousel fraud, is now under control in the country. By using advanced analytics technique from SAS called the hybrid detection model, Belgium government saves almost 1 billion euros each year, cutting its losses from VAT fraud by 98% and nearly eliminating carouse fraud4.
SAS provides full-fledged series of capabilities in supporting big data analytics, including Data Management, Visual and Advanced Analytics, and even Solutions for Hadoop. Named as Gartner’s 2015 Magic Quadrant for Advanced Analytics Platforms5, SAS has the widest advanced analytics portfolio in the industry offering a spectrum of capabilities. By combining dashboards, reporting, and analytics, SAS® Visual Analytics provide both data visualization and analytic visualization. No matter how deep policymakers want to dive into the data, SAS Visual Analytics provides the capabilities and visualization techniques to take it there.
Furthermore, as policymakers take on challenge of deploying, managing, and trying to wrest value from big data technologies such as Hadoop, the lack of specialized skills required to prepare that data. SAS Data Loader for Hadoop combined with SAS data quality and data integration technology allow policymakers to manage the complete data life-cycle, from data management to data discovery, analytics model development to deployment.
1.Tren Big Data Dan Big Data Analytics
2.Tren Big Data, Internet Indonesia Jangan "Lelet"
3.Setelah Big Data, Tren Apa yang Bakal Booming?
4.SAS Q&A: How hybrid fraud detection cut losses by 98%
5.Gartner, Magic Quadrant for Advanced Analytics Platforms, Gareth Herschel, Alexander Linden, Lisa Kart. February 19, 2015.
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