(March 28, 2018 – Singapore) Austreme is awarded the Best in Big Data/Analytics category for Enterprise Innovation Awards 2017.
Austreme’s Transaction Laundering Detection technology has been awarded as the Best in Big Data/ Analytics by the Enterprise Innovation for 2017. From a variety of entrants and nominees such as Birst, Cloudera, HPE, maana.io, MapR, Qlik Sense, Splunk and Tableau, Austreme was selected by Enterprise Innovation (EI) readers (business and technology leaders from end-user organizations across Asia Pacific) in an online vote initially reviewed and assessed by EI editors. As the winner, Austreme is judged to have successfully met or exceeded the following criteria:
- Perceived as an innovator in this specific space
- Demonstrated technology leadership with market-leading products/services
- Has achieved a good track record in innovating for customers in the region (whether through products or customer service or market innovation)
Best in Big Data/Analytics involves inventing an innovative solution or technology that helps an organization manage and leverage the huge amounts of data that are created, stored, retrieved and used by its employees, partners and customers, and transforms them into real-time information for better decision making. Through this award, Austreme is acknowledged as a Technology Innovator by EI, which they define as vendors or service providers that have identified a business/IT need and developed/delivered a unique value proposition with their innovation-led solution.
“Austreme’s application of Big Data analytics in transaction laundering detection is deemed an exceptionally pertinent and innovative use of cutting-edge technology to meet the real needs of organizations that have adopted e-commerce today,” said Victor Ng, Editor-in-Chief of Enterprise Innovation. “This is particularly critical in a world where huge volumes of transactions take place every day, and where cybercrime and compliance have become key issues.”
About Enterprise Innovation
Enterprise Innovation is the go-to information source for strategic technology decision makers in enterprises across Asia, where business and technology leaders seek ideas and best practices on driving innovation and business transformation. It is the only media channel that bridges the interests of IT and business leaders on how to create dynamic organizations and leverage cutting-edge technology for competitive advantage and business success.
About Enterprise Innovation Awards
To recognise those companies in Asia that are innovating through the use of technology and process best practices, Enterprise Innovation is hosting the annual Enterprise Innovation Awards.
The awards will identify companies that are both users and providers of technology for their ability to innovate and deliver outcomes that consist of business results as well as game-changing capabilities.
- To recognize Enterprise Innovators (users) and Technology innovators (providers/vendors)
- To recognize and celebrate technology-led innovation among enterprises in Asia Pacific
- To promote sharing and learning of key innovation strategies and best practices across the business and technology leaders in Asia Pacific
- To recognize Enterprise Innovators (user organizations) and Technology Innovators (service providers/vendors) across a broad spectrum of industries and technology categories
Austreme is an industry leader in forensic fintech, helping brand owners, acquiring banks and payment service providers monitor and detect online merchants’ illegal and brand-damaging transactions under international card associations’ global brand protection program. We provide a wide range of financial risk management services for customers globally, specializing in big data analytics, anti-transaction laundering, online store illegal content monitoring and merchant onboarding. For more information about Austreme, please visit https://www.austreme.com. More about Transaction Laundering Detection Solution can also be found at https://www.austreme.com/en/transaction-laundering-detection/.