New Year, New Game for Business Data Management

Friday 27 March 2020 09:58
By Nilantha Brito, Senior Sales Director, Autonomous Database, ASEAN
New Year, New Game for Business Data Management

The idea of autonomous technologies

has spiked over the past few years with a wide range of different industries

incorporating the term in different products, such as vehicles. However, what does 'Autonomous’ really mean? What kind of impact

will it have, and what kind of benefits can we glean from it?

As is tradition in the new year, we often

reflect internally, assessing how much we’ve

grown over the past 12 months. From

there, we form our resolutions – goals

we set for ourselves in the days ahead.

Driving New Goals with Automation

Similarly, ASEAN organisations and

businesses looking to succeed in the digital economy are recommended to do the

same – review their current performance by

looking at areas for growth and improvement. This provides a foundation from

which to craft actionable plans that will help us achieve our fresh ambitions. This plan of action is becoming even

more crucial now that organisations are facing a new set of challenges.

In this new age, consumers require

on-demand services and solutions

tailored to their specific needs. In

order to create that gold-class

customer experience to meet these demands, organisations need constant

accessibility to all of their data throughout the

business, to enable employees to make faster and better data-driven decisions.

A rocky road ahead

However, there are a number of

challenges companies face when seeking to move into this new data-driven world.

Today’s organisations are faced with an

unprecedented volume of data being generated every day and coming in forms and from

external sources that organisations are just not used to harnessing.

In addition, enterprise data, which you might have thought would be the

easiest to leverage, is often stored in multiple, separate locations, with only

a small proportion being used. Leveraging

both this new and existing data is

complex, and requires solutions that far outpace human capabilities.

Additionally, the implementation of

innovative new applications and business solutions that are needed to make

experiences, information, goods and services more accessible by bringing data

to life, are starting to hit a roadblock. Indeed, the 2019 Oracle Innovation

Report found that in Asia Pacific, fewer than 20 percent of innovation-focused projects are coming to life despite there being a clear link

between growth and innovation [1] . A key reason for this was businesses

lack the right technology to enable them to execute and deliver their

innovation projects.

Data security is another major pain

point enterprises face. As businesses practice data

agility, there is a risk of them neglecting data security and this will likely

impact the quality of insights derived from data made available.

Creating new possibilities in the new decade

Fortunately, new emerging

technologies like artificial intelligence (AI) and automation are helping reduce

the degree of human intervention needed to achieve the necessary agility and

security.

They have also given rise to a

revolutionary new approach to data management through the advent of Oracle Autonomous

Database. With AI and Machine Learning (ML) capabilities at its core, this new

portfolio comprising Oracle Autonomous Data Warehouse and Oracle Autonomous

Transaction Processing Database, automates tedious and mundane tasks that would

have previously consumed a large amount of work-hours from memory management to workload

monitoring and tuning enabling them to be self-driving and self-repairing. These autonomous capabilities also apply to the

security of the database as well as enabling it to self-secure by autonomously being able to detect, respond to and prevent

internal and external threats.

As a result, the Autonomous Database

frees up IT teams to focus on tasks that will bring value to the business, but

its impact doesn’t stop there. In fact, the effects of implementing

the Autonomous Database reaches further

across other parts of an organisation than just IT to include finance,

operations, and marketing.

Again, using AI and ML, these

offerings can also bring data-driven

insights to the fingertips of the employees who need it quickly and simply,

revolutionising how they access and use data.

Creating real impact

PTG Energy, a leading full-service

provider with the second largest retail gas business in Thailand, is an example

of an organisation who has benefited from Oracle Autonomous Database.

As a large enterprise with operations that cover renewable

energy, retail, F&B, convenience stores and more, PTG needed to make sure

its workforce was up to speed to be able to perform efficiently and make better

business decisions through a single source of truth.

However, the business was relying on a previous database

that did not have the capabilities to meet their growing business, resulting in

slow reporting and decision making.

Tapping

into Oracle Autonomous Database, PTG was able to efficiently identify new and

emerging customer behaviours for the company to target, a new-found

opportunity that enables PTG to enhance their overall customer service

experience.

Another example is financial service

provider Forth Smart, which operates over 120,000

vending machines in Thailand that allow customers to top up their mobile

phones and transfer money, generating approximately two million transactions

per day. With the Autonomous Database, Forth

Smart was able to gain real-time

insight into its network of vending machines – a task which previously took up to

three days to consolidate the same information. This has had a significant impact

across the company’s financial reporting abilities and

enabled it to undertake complex segmentation and predictive analytics, allowing

for a greater focus on innovation.

Ushering in an era of autonomous

Every organisation needs a great

enabler to maximise, and realise the value of all its data to thrive in an

economy where disruption is common and innovation mandatory for success.

The benefits these two examples illustrate why I believe that having an

Autonomous Database is vital to the foundation of every modern business.

With its self-driving, self-repairing and self-securing capabilities, the

Autonomous Database enables businesses to operate in a much more agile fashion. It allows the reallocation of IT resources to value added

activities, and gives employees data at their fingertips with the absolute

minimal level of intervention required.

In combination, these two results

mean that companies can step more deeply into the realm of innovation, edging out competitors as they have

the ability and insight to offer unique

value propositions to their customers and better fulfil their needs. This holds true be it in the Fast-Moving Consumer Goods (FMCG), Fintech, or other industries

across the ASEAN region.

So as they say, “out with the old and in with the

new,” so this new year, let us welcome the

Autonomous Database.

[1] https://www.oracle.com/sg/corporate/pressrelease/oow-sg-oracle-innovation-report-asia-2019-03-26.html