Despite the rising demand for cloud computing skills, the number of job opportunities available on LinkedIn declined by 57% last year.

Less than 55,000 technology industry roles were being advertising on LinkedIn near the end of last year, driven predominantly by reduced demand for cybersecurity and data analytics professionals. According to Accenture, the 57% decline during last year was sustained despite continued demand for selected skills in northern England and a significant rise in demand for cloud computing professionals.
Of the 55,000 open positions, approximately 35,000 advertised positions required professionals with skills in cloud computing, reflecting the growing trend of UK businesses shifting their workloads towards the cloud in response to the impacts of the pandemic.

Demand for professionals with skills in AI increased, rising by over 70% in six months, equating to nearly 7,000 roles. This was matched by similar rises in opportunities in positions associated with quantum computing and robotic skills.

The overall decline in technology opportunities is largely down to a reduction in listings for data analytics and cybersecurity-related roles, both experiencing just over a 50% drop throughout 2020.

Shaheen Sayed, the technology lead for the UK and Ireland at Accenture explains that while the pandemic has taken a toll on technology jobs in the UK, certain skills remain in high demand.

Businesses have accelerated their migration plans to the cloud quicker than anyone anticipated and many have enhanced their digital processes and utilised new technology available on the market. As more businesses look to hire talent in the cloud, AI and robotics, experienced professionals are discovering new skills to ensure they remain on top of the constant change in the technology industry and to enhance their marketability.

Overall demand for skilled professionals in robotics increased considerably in cities in the north last year, with a 450% rise in Newcastle, a 250% rise in Leeds and a 115% increase in Liverpool. These figures reflect that many cities are focusing on recruiting more technology talent and developing their status as key technology hubs. This is emphasised further by the government’s decision to base the headquarters of the UK National Cyber Force in the North of England, generating thousands of new technology-related opportunities in the region.

In other regions, Oxford experienced a 3,400% increase in demand for quantum computing skills, reflective of the rising scale of research projects and developments of businesses such as Oxford Quantum Circuits.

The overall decline in demand for technology skills over last year contradicts other figures that indicate a rise in employer demand for applicants with IT degrees. A study of one million job adverts by money.co.uk suggested that 60% of university degrees requested by recruiters were specifically related to IT and computing. Other findings from the Learning & Work Institute published data that suggested the skills challenge, with the number of young people taking IT related subjects decreasing by 40% since 2015.

The chief data officer of Experian recently discussed the importance of managing the skills gap and how industry leaders can attract more diverse talent to the data sector.

The pandemic accelerated the level of innovation and creativity in regards to using data effectively. Combining the skills and expert knowledge, data can provide businesses with the necessary insights to respond with both accuracy and speed. What has become very clear over the last year is how important data can be in terms of creating a competitive advantage.

While many businesses want to harness data and become more informed with the value of information, the lack of appropriate skills and resources is hindering the ability to execute a successful data strategy. This has proven to be relatively challenging as we experience a data skill shortage. There are more data roles to fill than qualified candidates to take those positions, resulting in a competitive search for data talent. The situation has been exacerbated somewhat due to several leading technology businesses dominating the hiring of new and existing talent.

The report suggests that over 80% of data leaders are finding it challenging to hire talent in the sector and nearly 50% believe that a general shortage of skills is the biggest challenge in terms of delivering value within their organisation.

Studies also indicate that this shortage applies not only to general data roles but also to the handling and processing of data effectively. Organisations require data that has been carefully cleaned and is fit for purpose. Industry experts believe this is a vital area that requires more focus, ensuring data is presented in a way that can be used effectively.

The new National Data Strategy announced by the government focuses on the UK working towards establishing a leading data economy, highlighting data skills as the target area to allow this goal to be reached. How can the UK work towards this target?

On a national scale, data and digital skills need to be explored and broadened within education to tackle this shortage. The National Data Strategy provides the opportunity to explore data skills on a national scale, enabling government and industry members to determine which skillsets are missing and how to create strategic plans. Working with universities is critical and will allow courses to be created based on providing the best employment opportunities after education and give businesses the required skills to reach their desired goals.

Strengthening the UK’s workforce for the future

It’s not just about creating the right skills in education. Businesses need to play a part in future-proofing the workforce by providing people with the necessary skills to manage data effectively. Businesses must ensure they focus on developing their data capabilities with their existing workforce, rather than leaving data skills and knowledge in the hands of just a few people. Developing a culture where data knowledge and solutions are dispersed more openly will enable data specialists to focus more specifically on innovative and targeted work to raise business performance.

Focusing on diversity in data

Education in data is vitally important and increasing diversity will strengthen the progress in skills development in the industry. In a world with an increasing skills gap and a need for employees with more creativity and potential to innovate, it is even more important that policies and processes enable all types of people a fair and equal chance to progress and develop in the data industry.

Unstructured data, whether it’s in raw form from news articles, reports or social content, is growing at a significant rate. Studies suggest that over 80% of all new data generated is in an unstructured format, yet only around 1% of this data is measured or applied to a business.

The sheer abundance of unstructured data is becoming a challenge for financial institutions. With a rising volume of incoming data, many businesses are struggling to understand where to start in utilising this information and transforming it into clear, actionable insights.

Decision-making potential is being lost simply because of the issue of data overload. As a consequence, may financial institutions are relying more on AI to support them in the decision-making process with unstructured data. New AI-driven tools can analyse, query and leverage unstructured data to deliver deep insights in record times. How can these tools provide value and support financial businesses to convert huge volumes of unstructured data into key decisions?

Extracting vital insights

Innovative big data analytics solutions that utilise machine learning can scan data and identify valuable sets of information. These tools enable financial businesses to discover vital insights that tend to remain hidden in unstructured data format, providing an immediate competitive edge over other businesses that are failing to utilise the power of AI.

These analytical tools can reveal new market developments, enabling teams at finance-focused companies to gain a deeper understanding of the market and make better financial decisions. HSBC recently launched an AI-driven investment index that measured unstructured data from multiple sources such as Tweets, satellite imagery, news content, or financial data. The ML-powered tool enables analysts to gain intelligent market insights considerably quicker compared to conventional methods.

Generate sentiment analysis

A ML algorithm focused on managing unstructured data can also explore sentiment analysis to gain a deeper understanding of the media’s feeling on a specific topic. Traditionally this process would involve highlighting and picking out certain words such as “great”, “poor” or “disaster”. The new process explores the context of synonyms and extracts the meanings, which is particularly important in the finance industry, where words and phrases have specific meanings. When these models are applied to news related to a specific company or sector, they generate qualitative information of the writer’s tone, informing you how positive or negative the stories are and how positive certain articles were in comparison. This is particularly useful in finance and investment, revealing certain aspects of a business that influence financial decisions, such as confidence in the market or a specific company.

Applying natural language processing and sentiment analysis tools in this format is an important way for financial businesses to generate value from huge volumes of publicly available data. According to a recent McKinsey report, quantitative funds that leveraged advanced analytics proved to perform better than others in terms of revenue.

The financial industry is experiencing a significant shift driven by new technologies. Many business leaders are continuously looking for techniques to improve their performance and introduce new, efficient solutions. With the rise of new technology comes new challenges for the finance industry.

Being prepared for cyberattacks

Financial businesses are particularly vulnerable to cyber attacks due to containing large volumes of very sensitive customer information. As one report shows, financial businesses are generally liable to cyberattacks more so than other industries. Compromised credit cards, leaked information or malicious banking processes have forced businesses to utilise and embrace new technologies and protect their organisation from very expensive challenges. 

By implementing advanced technologies businesses can greatly improve their security measures and greatly reduce potential cyber-attacks and the associated expenses. Security represents a top priority for financial businesses due to the accelerated rise of professional ‘attacks’ in the last couple of years. Business can utilise new verification services, a fraud prevention system that verifies user information. End-to-end encryption enables no external group to access certain sensitive information. 

Maintaining a connection with new technology

Recent studies suggest that financial businesses need to continue investing in robotics and other automation tools to enhance their effectiveness and reduce costs linked with operational processes, risk management and compliance. Businesses need to upgrade their internal systems and data facilities to utilise the benefits of big data solutions, such as AI-focused support assistants. 

Exploring robotics can allow financial industry businesses to replace traditional, manual services with automated processes, improving productivity, accuracy and compliance. Businesses need to be prepared to embrace new technologies such as robotics and artificial intelligence, machine learning and NLP.

Keeping your business compliant

REgulations, compliance and laws are a constant challenge for the financial industry. The pressure to remain authorised and compliant relates specifically to the rising regulation fees that emerged from the global financial crisis back in 2008. Today, multiple regulations have driven financial businesses to streamline their processes.

Implementing regulatory technology to stay compliant enables businesses an efficient management and risk assessment process for organisations. RegTech is generating added value for a company seeking to streamline processes associated with regulatory compliance. RegTech businesses provide ‘know your client’ and anti-fraud services, tax data management services, real-time reporting and regulatory compliance assessment tools.

The challenge of meeting customer expectations

Today’s customer is tech-savvy and generally expects high-level custom features within their banking services. Younger customers typically have a better understanding of technology and as a consequence have higher expectations of their digital experience.

Generation Y, people that fall between the ages of 22 to 38 are responsible for nearly 50% of mobile banking users and have the biggest impact on the digitisation of financial services. To be capable of meeting the needs of both the older and younger customers simultaneously, financial organisations need to create a hybrid banking model that combines digital experiences into a traditional banking environment.

Financial businesses can continue to succeed and have a considerable advantage over their competitors if they continue to embrace digital technology. With a combination of AI, robotics and regulatory technology, businesses can continue to innovate and manage the challenges faced in finance, while continuing to remain compliant and keep progressing.

A final factor is maintaining a close consideration of customer satisfaction. To maintain the highest level of customer satisfaction, financial businesses need to incorporate a blend of traditional and digital banking methods. The combination of the solutions described will enable finance businesses to reach their future goals.

Data analytics is a vital tool enabling finance industry leaders to implement a risk-based approach towards internal and compliance audits and to determine areas of improvement when certain issues are detected.

The pandemic has created several challenges for many finance teams, particularly in regards to corporate compliance and internal audit functions. Despite a transformation in how we work, the structure for compliance and internal audit professionals hasn’t changed. 

The primary aim continues to be identifying and managing risks to the business. To effectively implement this, businesses must continue to enhance their compliance programs, update their risk assessment and alter their audit plans and priorities. Compliance and audit functions need to demonstrate assurances to business leaders and show they have taken the necessary steps to manage potential risk. Compliance and audit teams need to understand how to implement efficient compliance and audit testing processes in this new environment. The most effective solution will depend on the business, their risk profile and other related variables. Data analytics continues to be an effective tool for compliance and internal audit professionals and has proven to be valuable in ensuring the correct measures are in place to manage fraud and other abuse.

Data analytics enables businesses to implement a risk-based approach and prioritise their focus on areas where issues may develop. Businesses that adopt a random sampling approach rarely provide the insights required or a meaningful audit result. Before the pandemic, data analytics was continuing to deliver a clear value in terms of compliance efforts. Today, compliance and internal audit functions are having to do more with less and so it is critical to understand how to leverage data analytics to your business.

Remote testing has become a normal procedure and is likely to be a common practice for the foreseeable future. Gathering, assessing and measuring important datasets to deliver compliance or internal audit processes is important. 

In some cases, some data sets may be used to examine high-risk transactions. The internal audit team can utilise this information to deliver the most appropriate audit system to reach the required outcome. 

Data quality is the most important element of data analytics. Providing direct access to vital databases can reduce potential issues of using inaccurate data sets. It enables compliance teams and internal auditors to check the accuracy of the information by working closer with IT teams. Direct data access also decreases the time to implement testing processes as other members are not required to work in these stages i.e. the initial data collection process. Through this process, compliance professionals and internal auditors can learn data limitations by engaging with the relevant IT professionals and then evaluate what impact this will have on their project.

One of the most vital elements of data analytics in regards to compliance and internal audits is the potential to combine disparate data sources. Many data analytics tests based on vital information can be carried out to determine risks. Generally, this information will be contained in disparate data sources, so having a clear understanding of those data sources and being capable of connecting the information is essential.

A risk-based approach vs. random testing

Data analytics allows compliance and internal audit teams to pick key transactions and test via a risk-based approach, rather than selecting transactions by random. A risk-based approach demonstrates how a business is managing risk effectively. 

Defining the parameters for data analytics tests requires some work initially. Creating an understanding of system databases and data structure may take time to develop. However, each compliance assessment or internal audit will benefit from these plans and future work can be based on these tried and tested parameters. The repeated element of this process provides efficiency and enables a process that a data analyst can expect to see the same or similar results.

With remote working likely to remain dominant for the future, the conventional technique of random sampling and onsite testing will inevitably evolve into one that focuses more on remote risk-based auditing processes. Businesses need to leverage data analytics to effectively manage the challenges facing corporate compliance and internal auditing.

Financial services businesses are accelerating the development of digital transformation initiatives and migrating towards the cloud. With rising demands from customers and an increase in stricter compliance and regulatory standards, the financial services industry will only benefit more but utilising the potential of cloud data platforms.

The businesses that have taken the steps towards implementing cloud strategies have seen major improvements in efficiency, cost reductions and a decrease in downtime. The recent disruptions and implications of large-scale lockdown measures related to the pandemic have been alleviated by the mobility, security and scalability of cloud data platforms. While we are yet to truly understand the economic impacts of Covid-19, businesses are aware of the need to increase digital transformation strategies and prepare their organisation for other disruptive times in the future. 

According to reports by the National Association of Software and Service Companies (NASSCOM), the cloud industry is expected to exceed $7 billion by 2022. Being one of the initial industries to adopt the technology, businesses within finance have been reaping the benefits associated with cloud migration. The latest report from NASSCOM explains that the financial industry has the potential to offer real-time, high volume and high-performance transaction within a range of channels by adopting cloud.  The added benefit of migrating to the cloud for the financial industry relates to customer security. Migrating to a secure cloud data platform enables smoother and efficient monitoring of vital data channels and allows for simultaneous analysis.

From online transactions to insurance claims, financial services generate considerable volumes of data. The information that can be collected from this data can enhance efficiency, security and improve the overall customer experience.

There are several key ways financial services organisations can benefit from a cloud data platform:

Improved Customer Experience

Customers today are actively seeking a unique and personalised customer experience. For many, personalisation is a critical factor in determining whether the business relationship will continue. With access to significant data, banks and financial services businesses have the opportunity to create this desired personal experience. For this to be a success, complete visibility into customer interactions in real-time is vital. With the support of cloud platforms, businesses can gather a range of data in a single secure system. Cloud platforms can also measure various sources of structured and unstructured data collected on CRM systems, customer transactions and IoT. 

Generate New Revenue Streams

Cloud data platforms provide a direct and secure way of sharing data without complicating the process or adding further cost or risk concerns as associated with legacy data systems. An individual data product to data consumers can generate new revenue streams. Financial services businesses that gather stock market data is a good example of this in action. By using cloud data platforms, financial data vendors can develop data projects that can then be sold to hedge funds.

Manage potential fraud and risk

Financial services businesses are under regular attacks from cyber threats and other cases of fraud. With a significant cost attached, financial businesses need to ensure they are well prepared. Cloud data platforms gather and assess data and can act as the initial defence line against potential cyber-attacks. Financial organisations can effectively store data and manage cybersecurity, anti-fraud and other data sources. With the added use of analytics, financial services organisations can apply detection rules and detailed visualisations to detect any anomalies with transactions. The combination of high volume data storage with detailed financial analytics can enable rapid risk detection. The result is a cost-effective higher level of data security.

A cloud data platform offers the necessary steps for a business to enable a business to deliver agility and growth. For financial services businesses looking to create a unique, personalised customer experience, increase potential profits and enhance their security measures, implementing the most effective data infrastructure is the vital step to take.

The pandemic has caused a transformation of plans and priorities for many industries. Something that a business may have taken for granted has become a major asset in the current climate. In the finance industry, Covid-19 has had an instant and dramatic impact on the value associated with certain roles in finance.

Finance professionals and accountants are being more widely recognised for their useful insights related to financial metrics, enabling businesses to identify and determine their course for financial survival.

Data has been cast in the spotlight throughout the pandemic, with regular updates on infection rates and their associated impacts. This information and representation of data are very applicable to the overall health of a business. What has become more critical than ever is delivering real-time insights capable of supporting a management team in making the most effective decisions possible?

Recent studies are urging finance teams to break free of their comfort area and embrace the opportunities available with big data and analytics. Finance teams can play a leading role in supporting business decisions, driven by insights gathered from data analysis, as opposed to relying on historical trends and patterns.

Unfortunately, reports suggest that very few financial professionals have moved away from their traditional reporting methods. Many finance teams are still reliant on dated analytical tools or basing their plans on past performance tools. Right now there is a significant need to invest in innovative analytical tools. Finance professionals need to ensure they are expanding and creating skills to enable progressive insights for their business.

Nations are starting to embrace the tools available for finance professionals, enabling individuals the opportunity to understand and apply the insights that data can offer. Advances in technology have considerably increased the amount of data and information available to us. This data offers valuable insight and can deliver highly effective decision-making tools.

The pandemic has accelerated the need for businesses to be adaptive and capable of restructuring their plans with new scenarios and opportunities as they develop. Finance professionals have the option of using innovative tools such as predictive analytics to understand what could happen in the future and prescriptive analytics which goes even further by providing decisive measures.

These forward-thinking tools can help determine future performance and support leaders in delivering the most effective plans. CFO’s are increasingly becoming a more important part of the entire decision-making process for an organisation. Data and analytics have the potential to enhance business efficiency, support risk management, planning, budgeting and forecasting.

Nearly all of us are having to adapt and become more flexible in a world driven by advancing technology, and this transformation has been accelerated further by the pandemic. Finance professionals can rise to the challenge and potentially play a critical role in maintaining a business and making it more sustainable for the future.

The demand for data-driven technology and innovation in the financial services market is surging, as data continues to take a more important role in the operations and management side of a business. From enhancing processes and retaining customers to improving security, data-driven technology has evolved into an essential technological solution for several challenges facing the finance industry. With proven success, more finance-focused businesses have been moving towards the data industry and implementing new data-focused services wherever possible.

Financial services businesses are keen to utilise the opportunities data can offer. The main challenge that needs to be addressed, however, is that the capabilities of data depend on the quality and availability of information.

Managing data as the first step

Data management is a critical step in leading to later stages of data innovation. Financial services businesses will tend to invest in several data-driven solutions to improve compliance, risk and security. To effectively deliver and utilise the information, businesses need to ensure their data is current, accurate and reliable.

One good example of this relates to tooling systems, such as reporting or another data-focused process. These processes need customer data, but often the existing flow is not complete or possibly not entirely accurate. Quite often, as a temporary measure businesses will have their team manually update and correct any data anomalies. This can become challenging when the information from new services do not provide the anticipated results. 

Small steps can make the difference

Fortunately for financial services businesses to rectify and ensure data management is correct does not necessarily mean high budgets. Beginning with goal definition has been a proven method on improving data governance and ensuring a business can leverage data management capabilities further down the line.

Delivering value can only happen when businesses can generate meaningful insights and high quality, accurate data. To achieve this, an organisation should begin by defining their data requirements by determining specific goals. A maturity assessment enables quick bottom-up analysis of the main challenges a business faces. The relevant data management and governance services can then be created and utilised, to structurally improve the data problems a business may be facing.

How to approach data management and governance

Industry analysts recommend that financial services organisations tend to implement several actions to ensure their data-driven technology begins correctly. This includes:

Defining clear goals – define the data challenges that you intend to solve and assess any inconsistencies between finance and risk reporting

Measure the impact of data management – identify data flows from source to report to measure specific areas of data problems. Data flow analysis will reveal details to determine what data gathered from finance and risk is inconsistent.

Create a custom data governance solution – Create data management solutions that fit your business, such as data quality assessment and selected mitigation measures.

Measuring and assessing data solutions – Measurement is vital to determine success. Measuring the improvements after implementing new technology services is critical. A business should maintain consistency between finance and risk data, enabling accurate risk and finance reporting.

In today’s market, the volume and importance of data continue to increase, meaning any data-focused asset requires management and protection. Now is the time for financial services businesses to ensure data management is a top priority in their business plans.

Businesses investing in innovative digital platforms is on the rise, transforming how companies operate today and for the future. Industry is shifting from a functional basis to a more process-focused approach and now further towards a digital platform basis. Digital platforms are altering businesses and data represents the core of these systems. 

Data is the key to business transformation

Companies are progressively becoming more data-focused and those that tackle and master the application of data are the ones generating the benefits. Five of the leading Fortune 500 businesses are platform companies and studies suggest that the worldwide data and analytics markets will reach $135 billion by 2025. It is also predicted that data management and analytics will form one of the most important services and a priority function for generating business success for the future.

How business management is changing

A process-applied approach focuses on the tangible results of business activity. In order to remain competitive, businesses need to consider the experience of their customers and the entire business chain. Digital platforms have enables companies to improve the entire experience, something that businesses need to consider to enhance their operations. Transforming from functional to process thinking was a significant process and today, the transition from process to the platform is another giant step. It is difficult to measure what time and investment companies will require to allocate to manage, secure and apply data in the most efficient manner.

The rise of innovation is encouraging increased automation and shifting the business’s approach towards the process. The increased availability of analytics represents a great opportunity for businesses to gather insights on both customers and their employees. For businesses moving to a platform focused perspective, the importance of data management becomes more challenging. The business must consider how to capture and clean data, how it develops and stores data to ensure it can be readily accessible.

The results of data services

Rather than arranging a business around general processes, companies are now focused on data capture, management and the application of data across the range of platforms they are developing. This creates a significant change in where companies invest their money. Data has risen in terms of its importance to business and continues to grow. As a result, the number of money businesses will spend on data management is likely to continue rising in the near future. Unfortunately investing in data management and analytics in order to deliver a quality and power service is expensive. 

Data has evolved into a critical part of business processes and companies are quickly trying to establish a strong understanding of data management and utilising the platform to its best ability. One of the challenges facing many companies in a clear shortage of available talent in data management and analytics. Many businesses are targeting investment in this market in an attempt to attract the best talent available and position themselves in a rising market for the future.

Valued at over $26 billion and ranked as one of the most valuable global brands, Oracle has established itself as one of the largest businesses in the world. Oracle is dedicated to ensuring people view and use data in different ways, discover insights and create new opportunities. The business creates, manufacturers and sell innovative hardware and software products to multiple sectors. Acquisitions have played a major part in developing the Oracle brand and delivering new technological solutions.

Business Progressions with Acquisitions

During 2018 Oracle completed a number of acquisitions, ensuring the business remained at the forefront of technological progression in the industry. Earlier this year, Oracle acquired Zenedge to integrated a market-leading cloud application and network security services, providing an added protective service for its users. In April, Oracle acquired SparklineData to combine its PaaS services to support customers moving to big data solutions. Oracle also signed a deal to take over DataScience.com, supporting the management of data science tools, projects and infrastructure in the workspace. 

Most recently Oracle acquired DataFox and goBalto in October, in a move which Oracle believes will enhance their cloud applications, enabling customers to generate better decisions and business outcomes. 

Improving Services with stronger partnerships

During 2018, Oracle created a strong partnership with FireEye, creating the first Oracle cloud solution for FireEye. The collaboration supports customers in moving to the cloud environment, offering a flexible, cost-effective, secure and simplistic offering. At the beginning of 2019, the US-based technology company confirmed another partnership with the VANTA network, focusing on expanding its reach to both consumers and enterprise customers. 

A strategy for introducing new technology

Oracle is continuously looking to introduce the latest technology with a goal of enhancing business operations. Oracle is exploring methods to support the migration of infrastructure to the latest cloud platform services. This will involve all corporate applications being hosted on the oracle next-gen cloud. A move like this will reduce overall infrastructure costs and reduce both space and power consumption worldwide. Cloud migration, or data centre consolidation is moving ahead and will support the reduced requirement for physical data centres and the increased demand for flexible infrastructure services.

Introducing emerging and disruptive technologies

To ensure businesses are equipped with the tools to utilise innovation, Oracle has confirmed a continued focus on emerging technologies in Oracle Cloud, including artificial intelligence (AI), machine learning, blockchain, IoT and other human systems. Oracle is dedicated to ensuring emerging technologies are available and readily accessible across its cloud services. To support its customers and ensure they can utilise new technologies, Oracle has implemented a number of innovative technologies into its services and generate new products into its platform to allow customers to take advantage of each service.

Oracle has integrated machine learning and AI into its cloud services. The Oracle CX application includes embedded AI tools that improve better predictions for selected services, automating answers and providing a more personal service. Oracle also integrated machine learning into its security services to support the detection of potential security threats. 

Research and Development Focus

Oracle continues to make a significant investment in research and development to ensure the business delivers innovative solutions. Net investment for 2019 is believed to be just over $6 billion USD. The company in-house R&D facilities are constantly exploring a range of new products that are applied to global business operations. The technology combined with other applications creates a competitive advantage for its product offerings.

Supporting Industry Transformation

The market is experiencing significant transformation, supported by a considerable rise in new technology services. Oracle is investing heavily in new technology, delivering insights and solutions for digital customers. Oracle’s dedication to innovation is a driving force that ensures it remains an industry leader. Their continued investment plans in research and development and focuses on providing the highest quality service has enabled Oracle to support customers in meeting their goals. Their new products and services are supporting industry transformation, utilising the potential of disruptive services and successfully meet rising regulatory demands.