Between meeting digital transformation requirements mandated by the Malaysian government and an impending influx of data, there is now a pressing need for organisations to better manage and analyse massive amounts of data. The Malaysia Digital Economy Blueprint even describes data as “the future commodity,” and the fact that the world to date is creating some 2.5 quintillion bytes of data only underpins its importance and why organisations need best practices to deal with it moving forward.
Leading the way, in this case, is none other than the Malaysian government, whose ability to render public service is being transformed by the “emergence of new technologies, data analytics and a digital environment.” The goal of the Malaysian government, in particular, is to “adopt and use digital technologies and data to modernise the public service and become more citizen-centric in its approaches,” and to be “digital by design, data-driven and user-driven.”
While it makes sense for governments to be data-driven in a world that will have more of it in the future, other organisations will have to follow suit just the same, given that companies from all industries are seeing their data grow at an exponential rate. Additionally, organisations are collecting different kinds of data from disparate data sources, thus necessitating a data management approach that is more agile, more scalable, more efficient and less costly compared to traditional ones.
Enabling a Data-Driven Culture
Nevertheless, the massive amount of data that the government has at its disposal means that it could potentially use data to derive highly valuable insights and actionable intelligence for the betterment of the people and to lead the way for others to follow. In order to enable a truly data-driven culture, Gartner research states that data and analytics leaders need to continue to make significant investments in areas like data hubs, data lakes and data warehouses in order to support these increasingly complex, diverse and distributed data workloads.
Data lakes will be especially crucial for government organisations to address the most pressing big data challenges and drive the momentum of advanced analytics for various use cases. This is because of their highly scalable environment that can ingest and store data in its raw, unaltered form. This data may be structured, as in data collected from relational databases and spreadsheets; as well as unstructured, like data from social media, videos and email; and semi-structured, such as data gleaned from weblogs, the Internet of Things and sensors. The latter being more valuable than ever, seeing as how the vast majority of data in the world is unstructured.
Since a data lake is able to keep data stored in one place rather than keep them siloed and inaccessible to other stakeholders, departments or agencies, and government organisations will be able to handle the impending data deluge by ingesting data as they come and then storing them in one repository for everyone’s perusal. Meaning, data analysts from across different departments and agencies can mine this data lake for the right kinds of data, combine them where applicable and then utilise them for successful big data projects.
Regardless of whether an organisation chooses to go with a data hub, data lake or data warehouse approach (Gartner recommends that the three structures are best used in combination), increased complexity will be an inevitable by-product of any data transformation journey.
Next-Gen Data Management to Break Down Data Complexities
To help organisations reduce the complexities, especially in managing and protecting data in all its shapes, forms and locations, Cohesity offers Helios, a Next-Gen Data Management solution that enables enterprise users to consolidate secondary data and apps. The platform combines four unique elements—simplicity at scale, zero-trust security principles, AI-powered insights, and third-party extensibility—to help organisations reduce data infrastructure silos, protect their data from ransomware and other cyber threats and derive greater value from their most valuable resource: Their data. Helios also allows organisations to view and control all their data—primary or secondary, structured, unstructured or semi-structured, on-premises or on the cloud—all through one easy-to-use UI.
“We are ushering in a new way to address mass data fragmentation challenges that are plaguing enterprises across virtually every industry,” said Mohit Aron, founder of and CEO at Cohesity. “With Helios, we now are providing businesses with a single, global unified platform for their secondary data and apps in a way that’s smart, incredibly efficient and brings new insights to massive volumes of untapped data.”
In addition, Helios offers unlimited scale, with a hyperscale architecture that will enable organisations to handle more and more information amidst the predicted growth of data in the coming years. End-users can also take advantage of Helios’s third-party extensibility in running analytics, whether by Cohesity or third-party apps, to glean valuable insights from this data and use them in decision making. In other words, deploying Helios allows an organisation to gain the benefit of future-proofing with a platform that evolves along with its unique business needs.
“Now imagine being able to manage all of your global data, wherever it resides – on-prem, at the edge, or the public cloud – from a single, unified user interface tht also comes with powerful machine-drive, predictive analytics, and contextually relevant actionable recommendation” explained Raj Dutt, Senior Director of Product Marketing at Cohesity. “We know IT infrastructure will continue its gradual spread across traditional data center boundaries and into multiple global locations. It’s the nature of business growth. But global expansion doesn’t have to mean disaster, in fact, it can be quite the opposite”.
This next-generation, the unified experience will be a key driver in the Malaysian government’s MyDIGITAL initiative, which aims to transform Malaysia into a high-income country driven by digital transformation. The reason being is that organisations can leverage it to make sense of voluminous data that will only increase in the future.
To find out how your organisation can modernise its data management approach and reduce data transformation complexities with Cohesity, click here.