Why Automated Testing Is Important In Oracle: Key Insights

Published on: 09 February 2023 Last Updated on: 06 November 2024

More and more businesses are moving to Oracle Cloud to take advantage of the regular updates that Oracle offers. Organizations can now use Oracle’s newest features and functions without having to wait months or even years for updates to come out.

But as the rate of change has sped up, so has the risk to the businesses of Oracle’s clients. This is because traditional business procedures are more likely to fail with every quarterly and ad hoc change. When a company’s procedures aren’t working well, teamwork breaks down and output drops by a lot.

Enterprise software needs to be tested regularly to reduce the chance of a business process failing, and automated testing is the most effective, efficient, and cost-effective way to do this.

Manual testing methods are simply not good enough for a modern, agile business. It’s too expensive, takes too much time, and the testing coverage isn’t good enough to get rid of all possible risks to each important business function.

Importance Of Using Automated Oracle Cloud Testing:

Companies have to make changes to their operational procedures and implement EBS testing regularly so they can keep up with how the market is always changing.

Testing should be done every time a process is changed or a new one is added so that it has as little effect as possible on operations. Automated testing is the best way to make sure that these updates work as planned.

Oracle is truly one-of-a-kind because it can be changed to fit the needs of each business. With each quarterly Oracle Cloud release, there is a chance that changes may no longer work. Oracle testing automation gives you confidence that important changes are safe.

It is rarely used by itself in a business’s ecosystem. Oracle Cloud Apps are often connected to other systems and productivity tools in an organization, Office 365, and third-party systems.

After each quarterly update, it’s important to make sure that all of the important integrations still work, since these updates often break compatibility.

An End-To-End testing tool is a must if you want to be sure that none of these hundreds of integrations will fail.

A role-based system is in place to protect the Oracle Cloud Apps. Every three months, the Oracle Cloud may reassign some or all of your security jobs. After every upgrade, businesses need to check their security and user permissions to make sure they are still legal.

Because each role has about 500 Functions and Data security rights, it is almost impossible to manually check a large number of roles at once. You can avoid this problem by using automated testing.

Companies that want to go for e-business suite upgrade and Oracle cloud apps should know that manual testing won’t give them the speed and accuracy they need to keep up with how often and how many changes Oracle Cloud makes. Also, they need to be aware that the risks they are taking in their business processes are not worth it.

By using high-velocity Oracle Cloud test automation, businesses can avoid most of the business interruptions and project delays that come from manual testing.

Conclusion:

Automated testing from Opkey will cover all of the system’s most important processes and integrations in depth. This will ensure that the system will continue to work after an Oracle upgrade.

Automation is a must for thorough Oracle Cloud testing if you want to make sure your company is safe and your testing cycles move faster to avoid business interruptions.

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Arnab

Arnab is a professional blogger, having an enormous interest in writing blogs and other jones of calligraphies. In terms of his professional commitments, He carries out sharing sentient blogs.

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The Timeless Appeal of Leather: Why Firefighters Trust Leather Radio Straps?

Leather, a material with an ageless allure, has been used across centuries and sectors. Its robustness, flexibility, and adaptability make it a preferred choice in numerous applications. This is particularly true in firefighting, where dependability and resilience are critical. Among the vital gear for firefighters, the leather radio strap stands out, exemplifying the timeless charm and practicality of leather. Unmatched Durability in Extreme Conditions Firefighters are often thrown into some of the most challenging environments. Their gear must withstand high temperatures, abrasive substances, and rugged use. It's in these circumstances that the leather radio strap proves its worth. Crafted from top-quality leather, these straps are designed to endure the demands of firefighting, offering a safe and readily accessible spot for a radio - an indispensable device for communication during crises. Unlike other materials, leather does not easily crack or fade, even when subjected to harsh elements. This durability implies that a leather strap can serve for several years, if not decades, with minimal upkeep. User-Friendly and Comfortable Leather radio straps also score high on their ease of use. They are engineered to glide effortlessly over turnout gear, ensuring radios and other accessories are always within arm's reach. Furthermore, they secure the radio microphone, preventing it from swinging or becoming an obstruction during pivotal moments. Comfort is another aspect where the leather radio strap excels. A well-constructed radio strap positions the mic comfortably on the chest, particularly for firefighters laden with backpack-style bags and other hefty equipment. Shielding from Thermal Hazards: The Leather Radio Strap Advantage A leather radio strap isn't just a handy tool for communication; it's also a line of defense against the thermal hazards firefighters face. When worn beneath the turnout coat, it offers several protective benefits: Strategic Positioning: The radio is located below the coat line, significantly less exposed to extreme heat and flames. This positioning not only maintains the functionality of the radio but also extends its lifespan. Upright Orientation: This strategic placement ensures the radio remains upright even when a firefighter crawls. It eliminates the need to fumble around for the device, making it easier to use and access in various situations. Thermal Resistance: Leather itself is a material known for its thermal resistance. It can withstand high temperatures without melting or deforming, protecting the radio from overheating or suffering heat damage. Insulation Properties: Beyond its heat-resistant qualities, leather also provides some insulation. It can help keep the radio stable, preventing rapid temperature changes that could affect its performance. In essence, a leather radio strap is more than just a carrier for radio; it's a shield against the intense thermal hazards that firefighters regularly encounter. This added level of protection further underscores why leather straps are such an essential part of a firefighter's gear. Read Also: Your Wrist, Your Chat: Setting Up WhatsApp On Apple Watch Rugged Aesthetic Appeal: The Distinctive Charm Of Leather Radio Straps Beyond their functional attributes, leather radio straps also carry a significant aesthetic appeal. Here's why these straps are more than just practical gear: Timeless Elegance: Leather is a material that never goes out of style. Its classic appeal transcends trends, making it a timeless choice for professionals who value functionality and aesthetics. Rugged Charm: Leather straps have a rugged charm that embodies firefighting's tough and resilient nature. This rustic look perfectly aligns with the image of bravery and strength that firefighters represent. Unique Patina: Leather develops a distinctive patina - a natural aging process that enhances its look. Each scratch, mark, or blemish adds to the strap's character, making each unique and personal. Telling a Story: Leather straps carry the stories of their wearers. They bear the marks of fires battled, lives saved, and experiences shared. Over time, they become a testament to the wearer's journey and achievements. In short, the aesthetic appeal of a leather strap is a blend of timeless elegance, rugged charm, and personal storytelling. It is a piece of gear that serves a crucial role in a firefighter's life and contributes to their unique identity and style. Trusting The Timeless: Why Leather Radio Straps Are A Firefighter's Best Ally In conclusion, the timeless charm of leather and its durability and versatility make it the go-to material for firefighter radio straps. It's not just about fashion; it's about placing trust in a material that can endure the test of time and harsh conditions. The leather radio strap is more than just an accessory; it symbolizes the resilience and bravery of those who don it. When it comes to reliable firefighting gear, there's no doubt that leather stands unrivaled by time. Learn More About: Care And Maintenance Of Men’s Vintage Rolex Watches How To See Someone’s Imessages Without Their Phone? WhatsApp Not Working: Why It Happens And How To Fix It

Process Mining and Data Privacy – Key Points to Remember

The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures. As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines. Process Mining in Business Process Management – A Brief Overview Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes. Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities. Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security. The Importance of Data Security in Process Mining Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets: Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers. Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code. Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies. Insensitive attributes: These datasets contain general or non-risky information not covered by the other features. Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships. But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers. Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements. On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches. Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams. Key Privacy Metrics in Process Mining In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads: Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information. Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access. Protected from disclosure: Data confidentiality is observed during data mining using the classification method. Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope. Process Mining and Data Capture – Key Points to Consider Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points. Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research. Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on. Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data. Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers. Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data. Conclusion Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value. However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining. Have A Look :- How to Get Copy of a Divorce Decree 7 Secrets To Make Your Baby Fall Asleep Faster All That You Need To Keep In Mind Before Selling On Facebook

Is AI Changing The Insurance Sector?

A lot of people are excited about the AI revolution. Various industries will see many changes as artificial intelligence comes into more active use. One of the more interesting uses for it is in the insurance industry. As one of the world's largest and oldest types of business, integrating new technologies should not be a new thing. Artificial intelligence has multiple purposes, and insurance companies can use all of them. Underwriting and pricing One of the essential tasks for insurance is assigning a price and rating for every client. An insurance underwriter determines the risks that a customer faces and assigns them a price so that the insurance company has a good chance of profit. It can be a complex process that looks at various factors to determine the optimum price. The entire thing can take days or weeks. However, with an insurance rating engine, which is an AI that does the underwriting process automatically, it can be done much faster. Faster pricing can make a difference during sales since potential clients know the price faster. Additionally, the process can be further accelerated as more data comes in. Customer service Regarding customer service, insurance inquiries can come in at any time. While call centers can accommodate them, you can reduce customer service demands using chatbots and automated systems. The company can then reserve the actual agents for emergencies and complex inquiries. No need to bother your team with common questions and basic inquiries when the AI can handle them. Claims processing Another process in which AI can help is claims processing. Insurance claims require some calculations that would normally take days. When the claim comes in with AI, the calculations can take minutes. The only delay would be the approval process. However, immediately making the claim amounts available can be a big help, especially during medical emergencies. Automating the claim lets agents focus on the important work instead of spending days processing claims. More claims can be processed with their help so that an insurance company can provide maximum service. Fraud detection While actual investigation and footwork are still necessary, detecting fraud can start with noticing discrepancies. That is excellent work for AI since it can easily go through the data and detect them. No need for people to go through the data themselves. The AI can look at a claim and notice if it has an anomaly or two. For example, the software might notice that a customer is claiming too many treatments when there needs to be a reasonable time between the two. This anomaly can be flagged so that an investigator can look closer. Sometimes, it is not fraud but carelessness, so noticing the mistakes can help customers, too. Final thoughts New technologies can revolutionize how businesses operate, and AI is no different. Those in leadership positions in the insurance industry should seriously consider adding AI to their operations to keep up with the trends. Considering the advantages they bring, the effort can be worth it. Read Also: What Is the Typical Workman’s Comp Claim Process? Reasons Your Business Needs Cybersecurity Solutions What Is Zero Trust In Cybersecurity Context?

Why Automated Testing Is Important In Oracle: Key Insights

Importance Of Using Automated Oracle Cloud Testing:

Conclusion:

How To Measure Distance Between Two Addresses?

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Arnab

Arnab is a professional blogger, having an enormous interest in writing blogs and other jones of calligraphies. In terms of his professional commitments, He carries out sharing sentient blogs.

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The Timeless Appeal of Leather: Why Firefighters Trust Leather Radio Straps?

Process Mining and Data Privacy – Key Points to Remember

Is AI Changing The Insurance Sector?

Why Automated Testing Is Important In Oracle: Key Insights

Importance Of Using Automated Oracle Cloud Testing:

Conclusion:

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How To Measure Distance Between Two Addresses?

Technologies For Creating A Startup Idea

Arnab is a professional blogger, having an enormous interest in writing blogs and other jones of calligraphies. In terms of his professional commitments, He carries out sharing sentient blogs.

Leave a Reply

Popular

Follow Us

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