Introduction

Data management involves collecting, maintaining, and using information in a secure, efficient, and cost-effective manner. Its objective is to help organizations, people, and connected things optimize the use of data within the appropriate policy and regulatory boundaries, so they can make decisions and take actions that maximize the value of the data to the organization. Effective data management leads to more productivity for the organization. In contrast, poor data management leaves organizations inefficient. A proper data management system also reduces the cost of running an organization because it allows organizations to avoid duplication of work. As all data is stored and easily accessible, employees will never duplicate research, analysis, or work already done by another employee.

‘Data management’ start-ups understand that data is one of the company’s most valuable assets. These companies use in-depth data analysis and interpretation to unlock that value. Here’s more than just an understanding of an Excel Workbook; a deep dive into the data and analyzing how it brings different modules of business together, how data comes from various sites, different goals of data management, and most importantly, what the startups can do with this data. Considering all the benefits of data management to an organization, several data management-based startups have been started in the SEA region, serving firms that understand the value of Data. 

This article shares a list of Southeast Asia’s prominent Data management start-ups. The details are shared below:

1. Crayon Data: Founded in 2012, Crayon Data is an analytics startup based in Singapore. By combining enterprise, public, Internet, and social data on one platform, Crayon provides real business solutions that are not similar to the conventional model of analytics. Using its flagship product, ‘Simpler Choices’, Crayon Data is able to empower companies with Big Data and analytics so they can increase their conversions and improve their returns from existing clients. Hospitality, finance, retail, and technology are the firm’s primary focus verticals. 
2. Lynx Analytics: Through the use of graph analytics, artificial intelligence, and machine learning, Lynx Analytics deciphers a world of connections that contain the most critical business information. Lynx Analytics was founded in Singapore in 2010 by a group of INSEAD students and professors. The company’s award-winning technology and Customer Happiness Index solution are used by top communication service providers and an expanding number of other data-rich companies to reclaim control over customer happiness and deliver vital economic impact.
3. InfoTrie: InfoTrie is a Singapore-based consulting and financial engineering firm with locations in India and Europe. The business has a deep bench of experience in information systems, artificial intelligence, financial engineering, and quantitative modelling. It is currently the responsibility of the Copyright Clearance Center. It specialises in business, big data, and financial information technology consulting, as well as the integration of trading systems and trading technologies and the creation of unique big data and predictive analytics solutions. FinSentS is a cutting-edge news analytic and sentiment analysis engine developed by InfoTrie. It searches the web (news, blogs, social media, and proprietary sources) in real-time for thousands of stocks, foreign exchange, commodities, and other financial topics… To maintain consistency, sentiment ratings are associated with asset prices.
4. Plunify: Plunify is a pioneer in the development of software tools for expediting semiconductor chip design, with a particular emphasis on Field Programmable Gate Arrays (FPGAs) applications. Among its early offerings is the EDAxtend platform, a private cloud platform for semiconductor design processes integration. Additionally, Plunify’s technology allows the dynamic scaling of computational resources, allowing for the usage of both private data centres and public clouds. Plunify added new features for speeding FPGA applications in a standalone engineering tool called InTime by using data analytics and machine learning approaches. With its data management capabilities, InTime produces better results and increases productivity. Plunify was incepted in Singapore in 2009 by founder Harnhua Ng.
5. Atlan: Atlan is a Singapore-based contemporary workstation for data collaboration. Atlan enables teams to create a single source of truth for all their data assets and collaborate across the modern data stack by acting as a virtual hub for data assets ranging from tables and dashboards to models and code. This is accomplished through deep integrations with tools such as Slack, business intelligence tools, and data science tools. Atlan is supported by leading investors such as Insight, Sequoia, and Waterbridge, as well as incredible angel investors such as the founders of Snowflake, Looker, and Stitch.
6. Ocean Protocol: Ocean Protocol is a decentralised data sharing protocol that makes data available for artificial intelligence. Since its establishment in Singapore in 2017, Ocean Protocol makes use of cutting-edge blockchain technology, which enables data to be exchanged and sold in a safe, secure, and transparent way while maintaining high levels of security. A decentralised platform and network that links producers and consumers of important data, while also giving open access for developers to construct services, are made possible by the Ocean Protocol (OP). When it comes to data consumers, the Ocean Protocol employs a careful use of both technology and governance to provide more equal results for all participants.
7. Eyeota: Eyeota is a provider of audience technologies to the worldwide industry. Eyeota enables global brands, publishers, and data organisations to enrol, enhance, and activate their data assets across markets and digital geographies. Eyeota’s breadth of expertise in developing data methods to be consumer-friendly, addressable, and scalable in omnichannel contexts stems from its position as the world’s biggest data onboarding and audience intelligence provider. Eyeota’s range of solutions equips companies with future-proof data capabilities by being privacy-by-design, versatile, and interoperable across all key platforms, channels, and identifiers. Eyeota originated in Singapore in 2010 and is now present in Europe, Asia, Australia, and the Americas, where it powers data solutions in 188 countries.
8. Canopy: Canopy is a Singapore-based accounting practice management software that streamlines the client’s operations such that the client can serve more customers. Canopy’s Practice Management system allows the firm to integrate every part of their practice with capabilities ranging from customer relationship management to task automation and everything in between. Its data platform brings information on an individual’s wealth at one place and provides a review of all key statistics, performance indicators and other essential parameters, allowing users to monitor and manage them easily.
9. Aureus Analytics: Big Data analytics startup Aureus Analytics, with its headquarters in Singapore, provides an integrated Big Data analytics platform for enterprises, removing the need to maintain a plethora of tools for understanding customers, identifying risks to the business, and reducing operational inefficiencies. The ASAP platform (Aureus Statistical and Analytical Platform) is being developed to be an integrated analytics platform that can function across a variety of data repositories and formats, including structured and unstructured data, internal and external, large and small data sets. LetsVenture, an online deal-making platform, has helped the company obtain around $850,000 USD in capital.
10. XOPA AI: X0PA AI is a Sinapore-based B2B AI-powered SaaS platform that assists people in making personnel decisions, and enables scientific and objective hiring and selection judgments. X0PA’s unique AI algorithms are utilised to find, score, and rank talent, with each candidate being evaluated independently of their age, gender, or race. It complies with the United Nations Sustainable Development Goals (SDGs) of providing equitable and fair opportunities to all people by guaranteeing both employer and employee competency and compatibility. X0PA AI seeks to maximise objectivity in recruiting and assure workplace satisfaction through equitable and best matches between employee and employer using ethical AI and data science techniques.

Conclusion

Data management and statistical reporting are highly specialised fields of expertise. Many industries like Insurance, Healthcare, etc. are continuously tasked with the responsibility of preparing, managing, and reporting correct data. Regulators’ requirements and expectations often change, but the time provided to comply seldom does. Oftentimes, businesses are constrained by time and budget constraints; yet, the consequences of inadequate data management might pose a greater danger.

These obstacles may be intimidating for many major and established insurers, and they can be much more so for start-ups or acquisitions. Luckily, with the rise of data management startups, a lot of data related tasks can be easily managed with well built tools and services, reducing the overload on small organizations and startups, while also being regulatory compliant.

Given its high relevance in both business and regulatory context, this field holds huge promise. Startups should look for existing gaps and build solutions accordingly.