Building a Successful Data Ecosystem in Southeast Asia

Data ecosystems aren’t quite the clean models we picture them to be. We may imagine that data is preserved in file cabinets like well organized documents, available for use as needed. The world has undergone significant transformation.

On top of the exponential rise in digital users, the countless organizations utilizing software applications, programs, and developing technologies have produced a large data environment that is complicated, daunting, and occasionally perplexing.

Southeast Asia has seen a meteoric rise in digital growth. Digital customers make up 80% of consumers. By 2025, the internet economy in the region is projected to be worth USD 360 billion. However, organizations have not been able to effectively utilize the massive, more tangled amounts of data that have emerged as a result of this phenomena. We don’t want to navigate the data jungle, but we also don’t want to get lost in it or give in to its overwhelming size.

Organizations in Southeast Asia must be able to properly handle the onslaught of data. In order to power our operations, customer experiences, and personnel management, among other things, we want data to be collected, saved, analyzed, and turned into valuable information. CIO Word Asia Spoke with Sandie Overtveld, VP & GM, APAC for WalkMe about building a successful data ecosystem in Southeast Asia.

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The Problems and opportunities behind management data ecosystems and archetypes

Southeast Asia’s growing digital customer base puts more pressure on businesses to make strategic technological investments. To speed up their digital revolutions, businesses must be able to monitor, motivate, and take action. In order to do this, it is essential to use data to generate insights that can be put to use. Choosing the correct data environment may make all the difference, but it can also be difficult.

The many architectures of data ecosystems serve certain purposes, such as improving the consumer experience, production, or competitive intelligence. A successful data ecosystem should be able to recognize and evaluate the value of data sources, gather data, transform it into useful insights, and organize and analyze it while storing it for later use.

Organizations must spend money and resources on building the infrastructure needed to preserve, protect, and store their data in order to create effective data ecosystems. Compliance with internal rules, as well as with external norms and legislation, is essential for data security. These guidelines and rules have an impact on how long data is kept, how it is used, and who is allowed to access it. Organizations will be able to maximize profits while raising customer service standards by addressing these issues.

Wrangling raw data and structuring them to be analyzed and understood easily

More data also implies more diverse and unstructured datasets, which means that sorting and cleaning these files before analysis will take more time and effort.

In the end, data wrangling is about obtaining granularity. The precise methods used differ from project to project based on the data and the aim that has to be accomplished. Data wrangling enables the huge scale transformation and mapping of data, allowing the advantages of data in motion to be realized.

In order to encourage data-driven decision making, this might serve as motivation for integrating operations and human resources into digital processes and vice versa. As a consequence, businesses may create data organization, management, analysis, and deployment strategies that help them maximize the return on their data and technology investments.

Empowering SEA businesses

Digital connectivity is a key instrument for assuring the continuance of corporate operations in the Asia Pacific area in the present economic climate, in addition to harnessing the power of data to provide insights for improved decision making.

DAPs (digital adoption platforms) make sure that software and apps are used correctly so that the full value of these digital items may be achieved. DAPs are placed on top of programs, tools, and websites to instruct users on how to utilize them to achieve their objectives. DAPs may be customized to direct users based on what they wish to do while assisting in the maintenance of best practices particular to the company using machine learning and AI. DAPs have expedited and enhanced the onboarding process for new employees, decreased reliance on IT assistance, and decreased user resistance to emerging technology. In the end, DAPs maximize the return on investments in technology while also enhancing the end-user experience.

Working together to build a successful data ecosystem

Even though digital transformation is expected to increase firms’ competitiveness in the global market, regional development is uneven. The sole industrialized country in Southeast Asia, Singapore, has led the digitalization race while Indonesia is battling to build its digital skills and infrastructure.

Organizations can start by looking inside to position themselves for success even if there is still much work to be done in the region to create the right data environment. There are several advantages to improving the employee experience. Making ensuring that employees can use the ecosystem is only one of the first actions employers should take to help their companies swiftly benefit from rising digital usage. Employees may learn how to fully utilize software and apps with the aid of DAPs by following a step-by-step method. By integrating a DAP with the ecosystem, organizations can maximize the advantages of higher productivity and the full use of their existing technology investments while enabling people to completely harness technology to do their best work on the job.

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