While legacy database may be fine-tuned to a fault, organizations still stuck in anachronistic solutions will soon find them a liability
As economies open up again, businesses are raring to accelerate transformation and leverage new opportunities to make up for the last two years of strife.
The resultant massive data sprawl, consisting of tens or even hundreds of petabytes of data to manage across multiple databases, is posing a challenge in terms of filtering out the noise and distilling core data with which to actionable and valuable insights for long-term business intelligence.
As the region advances toward a digital-first business landscape, here are five key reasons organizations across need to consider taking their data off legacy infrastructure and relying on database-as-a-service (DBaaS) solutions:
- Reduced downtime
- In legacy environments, patching security vulnerabilities can result in lengthy periods of downtime, resulting in loss of productivity.
With modernized cloud-based But DBaaS, one hospital in China’s Jiangsu Province was able to streamline its data management and enhance productivity by at least three times to optimize business operations. - Slash budgets and resourcing
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Legacy database systems typical involve the use of different tools and processes compared to cloud-based databases.
One Forrester Total Economic Impact study reported that database administrators often need to work overtime and on weekends to keep up. This was slashed by half after migration to a simpler database management solution.
Migrating to cloud-based database solutions also allows room for more cost optimization, as organizations can scale back on hardware costs, and provision only for what they need at any one point in time.
For example, one bank in India with more than 8.49m customers leveraged DBaaS and slashed provisioning times by 90%. It was able to replicate databases for key customers more efficiently, all while saving 90Tb of database storage. Finally, the migration to cloud databases accelerated its time-to-market for new services from days to mere hours, and eliminated much IT downtime. - Improve talent acquisition
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With the specialized skills needed to maintain legacy databases, each time a veteran employee leaves or retires, it can prompt a knowledge leak, create a transition gap, or cause quality issues.
The Generation Z workforce entering the job market now expect technology to work rapidly and seamlessly, and salary budget increases for 2022 are expected due to the Great Resignation phenomenon.
Firms that refuse to let go of outdated or clunky database systems will fail to attract the best and brightest. - Gain rich customer insights
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As organizations fight stay one step ahead of ever-changing consumer expectations and needs, consumer intelligence is playing an increasing role in strategic business decisions.
Databases being a gold mine of customer data, need to be powered by AI and ML to allow businesses to make sense of this data by detecting patterns and anomalies that would be impossible to detect via legacy systems.
Since AI and ML technologies work best in the Cloud, businesses that want to track real-time customer behavior patterns and stay on top of trends will need to migrate to cloud-based database systems. - Fast-track digital transformation
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According to IDC’s 2022 predictions, at least half of the Asia-Pacific economy will be based on, or influenced by digital by the end of this year.
Deploying DBaaS has to be part of this digitalization movement to help boost operational efficiencies and resilience. App development teams in charge of building new systems and processes need to work off the most up-to-date, live databases—not duplicate versions that could be out of date by hours or days.
Modernizing and simplifying database management systems—whether on-premises, in the private or hybrid clouds—will help improve efficiency, reduce costs and improve the employee experience.
