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DMOne Cloud – Automate your migration to Oracle Fusion Applications

DMOne Cloud is a platform that addresses and automates every aspect of Oracle SaaS Data Migration. Why did we create DMOne? The common thread running through all large organisations are the following: Legacy data that has built up over the years Multiple sources/applications that lead to a lot of duplicate & redundant data Concurrent projects & inter-dependencies leading to more redundant & duplicate data Poor visibility of data quality leading to poor reporting on data quality Constantly changing configurations Changing future states of business requirements Challenges with masking & profiling of data Poor regression reporting DMOne Cloud – a robust platform built to be a single solution for all these issues. The platform successfully addresses the issues methodically through the features built into it, some of which are: Rule based & automated extraction from multiple sources Ability to extract incrementally with updates after every step Cleansing data made easy through built-in features Transformation & Enrichment with error reporting at run time Ability to easily generate the target file Built-in loading & error handling capabilities Reconciliation module to ensure data accuracy Feedback & Visibility in every module providing complete transparency Reporting module providing useful insight into data What does this mean for our customers? The business benefits that DMOne Cloud brings to our customers are: Reduced cost of ownership through a robust platform providing repeatable processes UI/UX built on the lines of Oracle solutions (identical design elements adopted) making it friendly for business users Fewer iterations & Faster migration time resulting in reduced turnaround time through the entire cycle Performance tested components in the platform causing drastically reduced testing cycles De-duplication & cleansing can be automated, assisted or completely user driven giving enormous flexibility Enhanced monitoring & improved visibility make the entire process extremely transparent The entire data management process is made highly iterative with version control Traceability target at each step of the process makes it extremely accurate and less time consuming Early insights into data quality issues mean less likelihood of errors because corrective measures can be taken immediately Use of a platform such as DMOne Cloud makes the project a low code/no code process. DMOneCloud is powered by eAppSys Ltd., a Global Oracle Partner based out of London, UK with offices in Hyderabad, India & Plano, Texas, USA. To know more, please send us an e-mail at info@eAppSys.com

Blogs

Process, Platform & People – Why eAppSys is the preferred partner at Enterprises for data migration

More than 75% of any Oracle Fusion applications implementation projects are delayed by one process that most Enterprises take for granted, and that single reason for the delays is Data Migration. Data Migration needs some factors to be in place for it to be seamless, and the top three are: Coordination & collaboration – teams that deal with business objectives, technical implementation, data & those that deal with analytics have all got to be ‘on the same page’ Automation – A large portion of the migration process can be automated to make it faster and devoid of human error Experience – Data migration is in itself a complex project and hence the more experienced your team is, the easier and more seamless the process will be eAppSys checks the above three boxes and have helped organisations successfully migrate data and implement Oracle solutions The Process The two most important and often overlooked starting points for a successful Data Migration project are planning for Technical and Business reconciliation. All aspects of data migration come under these two broad heads and starting the process with an anticipation of what could potentially be a roadblock, is essential to be ready for tackling any obstacles. The process of Technical & Business reconciliation ensures consistency and accuracy between the technical aspects of migrating data and meeting the corresponding business objectives. This process is crucial to guarantee that data is successfully and accurately transferred from one system or environment to another while meeting the intended business goals and objectives. Technical Reconciliation: Technical reconciliation focuses on the accurate transfer of data from the source system to the target system and includes, although not necessarily in this order and not only just these processes: Data Integrity: Ensuring that data remains consistent, complete, and error-free during (and after) the migration process. This involves verifying that data formats, structures, and values are maintained. Data Mapping: Mapping data elements from a single or multiple source/s to the target system, ensuring that each data element is correctly transformed and placed in the appropriate location. Validation: Verifying that data transformation rules and calculations are accurately applied, and any discrepancies are identified and resolved. Error Handling: Establishing processes to identify and address data migration errors promptly. This might involve logging errors, notifying stakeholders, and implementing corrective actions. Data Cleansing: Cleaning up and standardizing data as it is migrated to ensure that inconsistent or inaccurate data is rectified. Business Reconciliation: Business reconciliation focuses on aligning the data migration process with the specific needs of the business. This involves: Business Rules: Ensuring that the migration process adheres to the business rules and logic governing how data should be treated, transformed and validated. Data Consistency: Verifying that data relationships and dependencies are maintained after migration, so that business processes and more importantly, analytics continue to function as expected. User Acceptance: Involving business stakeholders’ validation of the migrated data against their expectations and needs, ensuring that the data serves the intended business purposes. Reporting and Analytics: Verifying that the migrated data is accurately feeding reporting and analytics systems, enabling informed data-driven-decision-making. Audit and Compliance: Ensuring that migrated data meets regulatory and compliance standards relevant to the business. The reconciliation process involves close collaboration between technical teams responsible for the migration and business teams that rely on the accuracy and integrity of the migrated data. Any discrepancies or issues discovered during reconciliation need to be promptly addressed to ensure a successful data migration that meets both technical and business requirements. The Platform eAppSys Limited, a Global Oracle Partner based out of London, United Kingdom, has unveiled, the latest version of its data migration platform, DMOne Cloud, which takes care of automating most of the processes mentioned above, and more. Some of the challenges that DMOne Cloud helps Enterprises overcome are: Years of legacy data from multiple legacy systems, a large part of which would be redundant. Concurrent projects leading to duplicate data in most cases Constantly changing configurations Poor visibility into data quality leading to erroneous reporting Poor progression reporting Being ready for changing future state business requirements Specifically, what DMOne Cloud in its latest avatar allows our customers to do is: Extracting data from multiple disparate sources. DMOne Cloud provides for users to deploy rule-based extraction with “Out of the Box” components for rule-based extraction, transformation, validation, file preparation and reconciliation. DMOne Cloud handles multiple source system and multiple target file formats to multiple systems if required Cleansing data from multiple sources and creating a database that will go on to be a single source of truth. Enterprises will be able to deploy cleansed data across multiple Fusion applications. This is also available as a stand-alone Data Governance solution. Enriching data with meaningful & adequate additions across the board DMOne Cloud lets users get an early insight into data issues ensuring reduced load iterations. Loading is made easy, and iterations are reduced due to in-built features like ‘Config comparison’, ‘Error Handling’ and an extremely intuitive UI that lets users see what they can expect even before starting on a load cycle. Large amounts of data can be loaded error-free and completely in as little as 2 or 3 load iterations. The advanced reporting built in to DMOne Cloud allows insights into data ensuring high quality data which in turn enables the right kind of data-driven-decision making Apart from path breaking enhancements in its core structure that makes it more robust, scalable & secure, the changes include a more intuitive user interface that enriches the user experience. We have adopted the same design language used for Oracle SaaS Applications & the experience will be the same across DMOne Cloud Load iterations are flexible – you can load data based on Geography or Business Unit or Periodicity (monthly, weekly etc) Helpful wizards available to guide users through load iterations Parallel payroll reconciliation Includes ‘out of the box’ solutions across the board in all Oracle pillars – HCM, SCM, ERP, PPM etc. The People eAppSys has been in the business

Blogs

Data – the make or break equation in decisions

The one thing that is common and transcends borders, companies, governments, geographies & human nature is, well yes – music and the arts, but what I want to talk about is the one thing that businesses have come to depend on increasingly in this day and age and that is DATA. We heard a couple of decades ago or more that “Data was the new oil”. And that day when that was to be true has dawned well in the past. Today, data is the safe, and sane, foundation for all decisions – for example, whether it is retail stores deciding on where they place their wares, be it online or brick and mortar stores, whether it is Pharma companies distributing their inventory, whether it is infrastructure companies prioritising their tasks – all that logic is driven by data. Data is the driver when it comes to making decisions that your enterprise’s future depends on. And data transcends all industries and has become prevalent in all interactions – how you treat your customers, your vendors, your partners, your employees, your branding & marketing, your go-to-market strategies, your view of emerging markets, your rebranding if required for that emerging market and your everything else. When data is that important and crucial, it is important to acknowledge the monster that is very much lurking underneath and that monster is inaccurate, inconsistent and insufficient data! In the data world, there are several problem statements that organisations and data professionals often deal with. Some of these are: Data Quality: Ensuring the accuracy, consistency, completeness, and reliability of data. This includes addressing issues such as missing data, inconsistencies, duplications, and errors incurred while incorporating data from disparate data sources. Data Integration: Combining and merging data from multiple sources, which may have different formats, structures, or standards. This aspect involves dealing with data transformation, data mapping, and resolving schema conflicts. Data Security and Privacy: Protecting sensitive and confidential information from unauthorised access, breaches, or misuse. This includes implementing robust security measures, encryption, access controls, and complying with relevant & necessary, sometimes mandatory, data privacy regulations. Data Governance: Establishing policies, processes, and frameworks to manage data assets effectively. This involves defining data ownership, roles and responsibilities, data standards, data lifecycle management, and ensuring compliance with regulatory requirements. In most B2C industries like BFSI, Gaming & Retail, this is especially important given we are dealing with direct customer data that is highly sensitive. Data Storage and Scalability: Managing large volumes of data efficiently and effectively. This includes selecting appropriate storage technologies, designing scalable data architectures, optimising data retrieval and considering factors such as data partitioning and replication. Data Analysis and Interpretation: Extracting insights, patterns, and meaningful information from data. This includes techniques such as data mining, statistical analysis, machine learning, and visualisation to make data-driven decisions. Data Ethics and Bias: Addressing ethical considerations and potential biases in data collection, analysis, and interpretation, especially when dealing with a complex system of multiple applications. Ensuring fairness, transparency, and avoiding discrimination in algorithms and models that use data. Data Access and Collaboration: Enabling seamless access to data for authorised users and facilitating collaboration among teams. This includes data sharing, data discovery, data cataloging, and implementing appropriate access controls. Data Visualization and Communication: Effectively presenting data in a visual and understandable manner to facilitate comprehension and decision-making. This involves using charts, graphs, dashboards, and storytelling techniques. The tools that one chooses to use also have a bearing on what sort of intelligence one can glean from data. Data Infrastructure and Technology: Selecting, implementing, and managing the right infrastructure, tools, and technologies to support data storage, processing, and analysis needs. This includes considerations for cloud computing, big data frameworks, data warehouses, and data pipelines. These problem statements represent some of the key challenges in the data world, and organisations need to address them to leverage the full potential of their data assets. Given how critical data is, every organisation needs to either have highly professional, proficient & productive teams, or they can simply outsource that whole responsibility to experts by partnering with eAppSys, whose sole business is to ensure organisations can optimally leverage their data which is maintained in its most pristine form, by our highly capable teams using our robust data management platform called DMOneTM Cloud! Contact us at info@eappsys.com to know how you can have 10 less things to worry about.

Blogs

Insights from Oracle Cloud World Tour 2023: Revolutionizing Industries and Driving Transformation through Innovation and Agility

The eAppSys team attended the Oracle Cloud World Tour in London this week to connect with our customers, partners and friends from the Oracle community. There were some great insights and innovations shared at the event. This is just a few of our highlights. From unlocking data to transforming businesses, the conference showcased how Oracle Cloud is driving transformation across many industries. Revolutionizing Customer Experience and Sustainability: Nespresso CEO Nicole Clayton’s Keynote at Industry Conference One of the keynote guests, Nespresso CEO Nicole Clayton, talked about how they are leveraging behavioural and sensorial analytics to enhance their customers experience when purchasing online. Additionally, Clayton discussed the potential of using blockchain technology to enhance traceability from bean to cup, while promoting reuse of precious resources through their new paper capsules. Building a Safer and Efficient Railway Network: Insights from Network Rail’s Simon Goodman on Leveraging Oracle Cloud and IoT Simon Goodman from Network Rail was another keynote speaker who discussed how Oracle Cloud is being used to create a data-driven railway. By leveraging the flexibility and scalability of the cloud, Network Rail is able to spin up and spin down compute resources as needed, while using IoT to monitor the railway network, reduce the time to fix problems on track and improve safety. Unleashing the Full Potential of Cloud Computing: Highlights from Oracle Cloud Infrastructure’s ‘Beyond the Public Cloud’ Session In the OCI session ‘Beyond the Public Cloud’ we learned about innovations such as dedicated region, adopted by Vodafone, where the technology of the Oracle Cloud is deployed at your data-centre. We were also impressed to hear of Oracle Alloy which empowers customers to become cloud providers themselves by building on top of the Oracle Cloud and expanding with industry specific services to support specific markets. Transforming the Workforce with Oracle HCM Cloud: Insights from Industry Experts on Driving Innovation and Agility Many of our customers use Oracle HCM in the cloud, so we were excited to hear the discussion around driving innovation, agility and resilience in the workforce by using these solutions. We were delighted by the way Oracle is helping companies navigate the challenges of the service-based economy and the importance of adopting a customer-centric approach and being able to deliver “anything as a service”. Oracle World Tour 2023- A Transforming and Thought-provoking Experience With the current socio-economic uncertainty, this transformation can be challenging so we were intrigued to hear how companies are leveraging Oracle’s HCM Cloud solution to engage and enable their workforce, building resilience and remaining agile in the face of new challenges and opportunities. The talk emphasized the critical role of technology in helping organizations adapt to changing circumstances, and the importance of investing in the right solutions to build a more resilient and adaptable workforce. Overall, the day was a thought-provoking exploration of the role of transformation in driving success in today’s world. The entire eAppSys team present there had a great time! If you were there, we hope you enjoyed it too. At eAppSys, we help customers to transform and migrate data into Oracle Fusion Cloud applications. Our DMOneTM Cloud- a comprehensive end-to-end data migration platform, utilises the most recent technologies, such as Artificial Intelligence (AI) to automate data migration and management processes. This platform accelerates the end-to-end implementation life cycle, providing a fast, effective and hassle-free Oracle migration to cloud. With DMOneTM Cloud, you can trust us to handle every aspect of the migration so you can focus on your core business functions without worrying about data migration challenges. Are you looking for a seamless transfer of your Oracle Cloud applications without being concerned about data import problems? Reach out to us info@eappsys.com for a quick demo.

Blogs

How eAppSys is helping Customers to Transform & Migrate Data in to Oracle Fusion Cloud Applications

How eAppSys is helping Customers to Transform & Migrate Data in to Oracle Fusion Cloud Applications The eAppSys Data Management & Migration Cloud Platform (DMOneTM Cloud) is a cutting-edge platform for data transformation that leverages the latest technology to automate data migration and management processes leveraging Artificial Intelligence (AI). This platform speeds up the end-to-end implementation life cycle, providing a quick, efficient, and cost-effective solution for Fusion SaaS implementations. At eAppSys, we assist customers and partners in transforming data for effective decision-making during implementations. Our DMOneTM Cloud platform can be used to manage and migrate setup, master, and transactional data for Oracle cloud applications such as Financials, Projects, Procurement, Order Management, Inventory, Manufacturing, Core HR, Talent, Sales, and Service. DMOneTM is built using Oracle technologies such as Oracle Cloud Infrastructure, Oracle Integration Cloud, and Oracle Apex Cloud, and is compliant with GDPR regulations. This makes it a powerful and secure solution for managing and migrating data for Oracle cloud applications. The eAppSys team, as well as customers and partners, can use the DMOneTM Cloud platform as a centralized solution for data management during implementation to transform and migrate data. DMOneTM offers a powerful and versatile solution for managing and migrating data in Fusion SaaS implementations. This platform can be leveraged in a variety of scenarios and use cases for Fusion SaaS implementation including: Greenfield Implementations Adding new companies or organizations or business units Migrating data from EBS, SAP & Other applications Data management due to centralized or Global Single Instance Master data transformation or management The DMOneTM Data Management Cloud platform is essential for dealing with large data sets and migrating data from legacy or existing systems. It can also be used to accelerate the movement of configuration data between instances during implementation and post go-live. Additionally, it can be leveraged to compare data between instances, identify differences in configurations, and manage centralized data sets for global organizations or organizations that need to regularly enhance their capabilities. In short, the DMOneTM platform offers a wide range of powerful features and capabilities for managing and transforming data in Fusion SaaS implementations. Here is the snapshot of Integrated DMOneTM Data Management & Migration platform: How The eAppSys DMOneTM Data Management Cloud platform Works The development team at eAppSys has created numerous best practices for data management leveraging AI/ML and RPA capabilities. These best practices enable rules with validations and ensure that an audit trail of data transformation is retained and recorded. The DMOneTM Cloud platform uses Out of the box rule-based extraction, transformation, validation, file preparation, data transfer, reconciliation, error handling, error correction, and reporting to identify, organize, leverage, and convert legacy data. This makes it a highly effective and efficient solution for managing and migrating data in Fusion SaaS implementations. One of our recent professional services customers, with a global presence, wanted to move to Oracle Fusion applications cloud. We were able to leverage and enhance the DMOneTM Cloud platform to successfully migrate data from the customer’s EBS applications to Fusion ERP & HCM Cloud. As part of the migration, we built internal validations into the DMOneTM platform itself, so that the data would be transformed, verified, and validated by the system before moving to Fusion applications. This helped to avoid data errors and ensure the success of the migration. Why we created Transforming and migrating large datasets and volumes into Oracle Fusion Cloud applications can present a number of challenges that limit a company’s ability to scale their business. These challenges include duplicates, redundant, and incorrect data that can make management reporting and decision-making difficult. To address these challenges, eAppSys developed the DMOneTM Cloud Data Management platform. This platform provides a flexible tool that anyone can use, even with limited knowledge, to manage data according to their specific business needs. It then securely and accurately uploads the data into Fusion Applications, with proper security and validation rules, and offers data masking for critical data as needed. The DMOneTM platform is designed to make it easier for companies to manage and migrate data for Fusion SaaS implementations. eAppSys has been working closely with the Oracle Product Development organization to continually enhance the capabilities of the DMOneTM Cloud platform. These enhancements include streamlining configuration movement, adding additional objects, and ongoing innovation. The DMOneTM platform is now ready for use across all pillars of Fusion Cloud applications, including ERP, HCM, SCM, and CX, and will continue to be updated on a regular basis, particularly in response to quarterly updates offered by Oracle as part of their upgrade cycles. This ensures that the DMOneTM platform remains a powerful and effective solution for managing and migrating data in Fusion SaaS implementations. eAppSys Differentiation At eAppSys, we deploy and leverage the DMOneTM Data Management Cloud platform as a standard platform for all data management and migration activities in successful customer implementations. We take overall end-to-end ownership of delivering services for customers and partners for their Fusion applications or EBS projects. If you need to continue using DMOneTM post-implementation, we offer pricing models to choose from based on your business needs. These include a subscription-based model, a user-based monthly subscription fee, or a development charge for customers who want to implement a single specific capability. Our goal is to provide flexible and affordable options for customers to continue using the powerful capabilities of the DMOneTM platform. There are many benefits to leveraging the capabilities of the DMOneTM platform, including: Reducing manual effort and saving consultants time on data entry Improving productivity by enabling staff to focus on higher-value or quality activities Enhancing data quality and supporting better decision-making Empowering data owners to stay ahead of the competition Leveraging best practices on a consistent basis with a single source of data Reducing administration time and improving interactions with customers Enabling faster and more consistent data migration with a significant return on investment Overall, the DMOneTM platform offers a range of benefits that can help businesses improve their data management and migration processes, reduce manual effort, and gain

Blogs

AI & Data Management & Migration

What is AI in the context of Data Migration? AI (Artificial Intelligence) refers to the development of computer systems that can perform tasks that would typically require human intelligence, such as learning, problem-solving, and decision-making. In the context of data migration, AI can play a significant role in automating manual processes and improving data accuracy. AI algorithms can be used to extract and transform data from one system to another, reducing the time and resources required for manual data entry. Additionally, AI can help ensure data security by identifying and flagging potential security risks, as well as improving data quality by detecting and correcting inaccuracies. By leveraging AI in data migration, organizations can improve the speed and efficiency of their data migration processes, while reducing the risk of data loss or security breaches. Can I leverage AI for Oracle Data Management & Migration? Yes, AI can be used to improve various aspects of Oracle data management and migration. For example, AI algorithms can be used to analyze large amounts of data and identify patterns and trends that can help optimize database performance and improve data quality. AI can also be used to automate routine tasks and processes associated with data management and migration, such as data cleansing and data transformation. What are the some of the use case scenarios wherein we can leverage AI in Oracle Data Management & Migration space? Here are a few potential use cases for AI in Oracle data management and migration: Data cleansing: AI algorithms can be used to identify and correct errors or inconsistencies in data, making it more accurate and reliable. Data transformation: AI can be used to automate the process of transforming data from one format to another, such as converting text data into structured data that can be easily analyzed. Data migration: AI can be used to automate the process of migrating data from one system to another, reducing the potential for errors and making the process more efficient. Database performance optimization: AI algorithms can be used to analyze data in an Oracle database and identify patterns and trends that can help optimize performance and improve efficiency. Fraud detection: AI can be used to analyze transactional data in an Oracle database and identify potential instances of fraud, allowing organizations to take action to prevent losses. Overall, there are many potential ways that AI can be used to improve Oracle data management and migration processes. These use cases can help organizations save time, reduce errors, and improve the quality and reliability of their data. What are the quantifiable benefits we can accrue using AI for Oracle Data Management & Migration area? There are many quantifiable benefits that organizations can accrue by using AI for Oracle data management and migration, including: Improved efficiency and productivity: Automating routine tasks and processes with AI can save time and reduce the workload for human employees, increasing their productivity. Enhanced data quality and reliability: Using AI algorithms to cleanse, transform, and migrate data can improve its accuracy and reliability, making it more useful for decision-making and analysis. Reduced costs: Automating tasks and processes with AI can help organizations save on labor costs and reduce the potential for errors, leading to cost savings. Increased revenue: By improving the quality and reliability of data, organizations can make more informed decisions that can help drive revenue growth. Improved customer satisfaction: Using AI-powered chatbots and virtual assistants can improve the customer experience, leading to increased satisfaction and loyalty. Overall, the quantifiable benefits of using AI for Oracle data management and migration include improved efficiency, enhanced data quality, reduced costs, increased revenue, and improved customer satisfaction. What is the value proposition for customers to leverage AI driven Data Management & Migration platform offered by eAppSys? The value proposition for customers to leverage the AI-driven data management and migration platform offered by eAppSys is that it can provide even more advanced and sophisticated capabilities for managing and migrating data. By using artificial intelligence (AI) technology, the platform can make intelligent decisions and automate complex tasks, which can provide a number of benefits to customers. Some of the key value propositions of eAppSys’s AI-driven data management and migration platform include the following: Improved data quality: The platform’s AI algorithms can help to identify and correct errors or inconsistencies in your data, which can improve the overall quality of the data. Enhanced data accessibility: The platform’s AI algorithms can help to make data more easily accessible and usable, by providing intelligent suggestions and recommendations for data management and migration. Increased data security: The platform’s AI algorithms can help to identify and protect against potential security threats, such as unauthorized access or manipulation of data. Time and labor savings: The platform’s AI algorithms can automate many of the tasks involved in data management and migration, which can save time and reduce the need for manual labor. Overall, eAppSys’s AI-driven data management and migration platform can provide a number of valuable benefits to customers, including improved data quality, enhanced data accessibility, increased data security, and time and labor savings.