Photo - Carlos Lacerda, Managing Director of Microsoft Malaysia with his opening speech.
Microsoft shared the results of new IDC research that shows Malaysian companies of any size that take a comprehensive approach to data could realise an additional 60 percent return on their data assets - an Asia Pacific opportunity of US$278 billion.
In conjunction with the recent 'Big Data Week 2014@Kuala Lumpur' programme, Microsoft also launched its new 'ambient intelligence' platform in Malaysia, which includes SQL Server 2014, Microsoft Azure Intelligent Systems Service (ISS) which enables Internet of Things; and Analytics Platform System (APS), a low cost Big-Data-in-a-Box appliance.
Microsoft Malaysia managing director Carlos Lacerda said these "new data platform solutions help Microsoft to deliver the most comprehensive data platform to organisations looking to harness greater business value from their information today."
"The era of ambient intelligence has begun, and we are delivering a platform that allows companies of any size to create a data culture and ensure insights reach every individual in every organisation," Lacerda said.
He stressed the importance of "a data culture - one that encourages curiosity, action and experimentation - for everyone and every organisation."
Lacerda added that nations, businesses and communities were living in a mobile-first and cloud-first world surrounded by technologies that are increasingly connected.
Data as business currency
He said that in this new world of ubiquitous computing, "data is the fuel for intelligent systems and services to improve how we work, live and play. Microsoft envisions a world where we are surrounded by intelligent computing, ushering in an era of ambient intelligence."
Microsoft's expanded data platform includes:
- Launch of SQL Server 2014. The latest version of this database delivers real-time performance with built-in in-memory technology and public cloud scale and disaster recovery with Microsoft Azure.
- Limited public preview of the Microsoft Azure Intelligent Systems Service (ISS). This new Azure service helps customers embrace the Internet of Things and securely connect to, manage and capture machine-generated data from sensors and devices, regardless of operating system.
- General availability of the Analytics Platform System (APS). APS combines Microsoft's SQL Server database and Hadoop technology in one low-cost offering that delivers "big data in a box."
These new solutions include a cloud-based, self-service business intelligence solution - Power BI for Office 365 - with natural language capability; Azure HDInsight for elastic Hadoop in the cloud; PolyBase to bring structured and unstructured data together in a data warehouse appliance; and built into everything.
IDC programme vice president, business analytics and big data, Dan Besset, said, "Customers who take a comprehensive approach to their data projects realize a higher data dividend than customers who take a point-by-point approach."
"This new research [commissioned by Microsoft, conducted by IDC] shows that by combining diverse data sets, new analytics and insights to more people - at the right time - businesses worldwide can tap into a more than trillion-dollar opportunity over the next four years," said Besset.
Data is currency for business today, as organisations could realise a "data dividend" of roughly US$1.6 trillion in additional revenue, lower costs and improved productivity over the next four years by putting in place a holistic approach to data that spans datasets, analytics and more. In Asia Pacific, the potential data dividend is US$278 billion over the next four years.
The research was conducted among more than 2,000 mid-sized and large organizations in 20 countries worldwide, said Besset, adding that the key opportunity areas for organisations in unlocking data dividend are:
- US$29 billion in customer-facing data scenarios, such as using data to improve customer acquisition, retention, support and pricing optimization.
- US$88 billion in operations data scenarios, such as using data in process or operations optimization; plant, facilities, equipment maintenance or utilization; demand or supply chain management, logistics and more.
- US$42 billion in innovation data scenarios, such as leveraging data in product or service improvement or innovation; research and development innovation.
- US$120 billion in productivity data scenarios, such as using data in human capital, IT optimization, regulatory compliance and more.
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