A transição para um novo sistema ERP é assustadora. Como você garante a migração precisa de dados durante o processo?

With 22 years doing this business have realised that Data can make or break all the hardwork that has gone in designing or configuring a system. Following steps can add value to the process - Data governance structure & policy creation ( both for data creation and retention) - System landscape detailed out with data exchange and with detailed data structure - Data harmonisation , slow but gradually build a strong Data management system - involve business in each step of it ( because theory would only take you so far ) - each time a IT program starts , initiate data workshop and data analysis at the time of requirements gathering. Do let me know your comments if this helps

The biggest mistake I see in most organizations is that Data and its Migration is most often looked at the later part of an ERP project / transformation. It should actually be addressed prior to and during the entire project and if possible with a Master data governance strategy. Data Archiving and cleanup prior to the project can also help . Strict Data mapping and transformation rules and testing with at least 1/3 to 1/2 the actual data set would also help during Integration test cycles. Volume and stress testing for performance are also sometimes ignored since Data comes in as an afterthought.

Day zero planning is important aspect when it comes to Data. Apart from the regular data strategy and migration activities, I suggest to plan and execute your Data foundation in close alignment with the future/current process and key decision making situations that can use machine learning patterns. Also when a design is finalised, run through a day in a life through role plays for critical processes. Data is a key parameter in every stage of your transformation, hence your budget towards Data in all these transformation should be the top spend!!!

Migration requires three key elements - Plan: Know your data :- If you know data quality issues which exist in the source system you can make a conscious decision to carry them into target and cleans later or clean it before the first iteration - Design: Clear Data Mapping :- Plan extra time in source to target mapping and transformation rules and ensure they are solid prior to running any iteration - Execution Strategy: Consistent and constant source data - If this is taken care of you can reduce several iterations to validate data If you need to know more DM me.

Very simple principles of life. Garbage in garbage out. We have to get rid of clutter and data which you do not need and keep in cold storage

Data cleaning is an indispensable part of any ERP data migration project. Dirty data can lead to inaccuracies, inefficiencies, and even system failures in the new ERP system. - Identify the data by identifying data sources and format. Assess Data volume and complexities and discover data quality - Convert data to consistent format. Wherever required create data mapping - Verify data and get if reviewed by business spocs - Remove duplicate, erroneous, invalid and outdated data. Fill in the missing values - Enrich the data by adding few attributes which may be required for ERP for future data requirement - Convert the data into required format for ERP

Data cleansing is a very critical activity for ensuring high quality and reliability in the new ERP system. Helps to ensure accurate recording of transactions and facilitates enhanced reporting from the new ERP system.

Data cleansing is very important to avoid roll backs and avoid errors in data uploaded.by cleansing the data it helps in data integrity and maintenance

A crucial part before the data cleansing is the mapping of data from the old to the new ERP. The ideal scenario will require the client to have a master data resource dedicated to ensure the correctness of the mapped data. It is also an opportunity to add additional fields where necessary into the new ERP, which can bring value to the business. A good example could be to add now geo location data like latitude, longitude etc...to the contact master file.

Testing in data migration is ongoing. Start with a subset to refine your approach and repeat tests to ensure robustness and accuracy for the full-scale migration.

Trial load of data in multiple cycles is absolutely required before the final data load . This should then be followed by thorough process testing, using migrated data .The defects are generally accumulated and fixed in the next cycle

It is extremely important to throughly test. Sometimes is challenging enough trying to train the end user on the new system only to fail them when the ERP system goes live. It’s important to throughly test live scenarios as well as odd ball transactions to ensure the outcome is correct. This ensures a smooth transition to go live

Testing is essential for ensuring a seamless transition. Conduct multiple test migrations in a controlled environment to identify and rectify any issues. This iterative approach helps in fine-tuning the process, ensuring data integrity, and minimizing disruptions during the final migration.

Conducting master data tests represents a complete end-to-end process (E2E), as the cycle must consider identifying sources, extracting/collecting data, cleansing, standardizing, pre-load validation, loading, and reviewing within the new ERP. Each of these steps should be iterated to ensure that both the results and the time taken to perform the task meet the project's needs.

KPIs at each stage of migration, extraction, transformation and loading needs to be set up and reported after every load cycles.

Continuous monitoring is key to a successful ERP migration. Track the progress through detailed logs and regular updates. Immediate identification and resolution of issues can prevent small problems from escalating, ensuring a smoother transition and maintaining data accuracy.

Acompanhamento contínuo é primordial para o sucesso do ERP, não há como descartá-lo do processo, inclusive é desse monitoramento que são elaboradas as melhorias dos mesmos

Follow up progress and outcomes during ERP implementation is essential to get prove of ERP good working and data validation. ERP implementation should be taken seriously and planned along the day by day working routines.

Com ceertaza os KPis certs ajudam a monitorar com precisão o processo como um todo. Partindo da premissa que os atingimento mínimos da métricas defijidas tem seu antigimento nas etapas que se seguem.

Após a migração dos dados para o novo sistema ERP, a validação pela equipe do projeto é essencial para verificar a precisão, integridade e consistência dos dados. Essa validação assegura que todos os dados foram corretamente transformados e transferidos. Além disso, é fundamental realizar uma auditoria de sistemas e uma conferência contábil para reconciliar discrepâncias e confirmar se o novo sistema ERP reflete com precisão os dados da empresa.

Customer sign off at each stage or ETL process is key: 1. To ensure accountability. 2. To facilitate change management. 3. To identify discrepancies on time. It is also important to have a clear cutover plan: 1. Identify tasks and resources 2. Agree trial cutover strategy, identifying source systems, and preparation tasks (backups and config) 3. Identify master and transactional data sequences and dependencies 4. Agree on reconciliation tasks 5. Agree on deviation tolerances to facilitate the reconciliation process and ensure all the parts are on the same page.

E muito importante garantir a integridade dos dados. O mapeamento minucioso, o conhecimento do projeto, o comprometimento dos envolvidos, o planejamento pré migração e pós migração, e, os testes são de suma importancia para assegurar o sucesso.

A key area to make sure in transition is how well the business process translates into the new system. Or to adapt existing processes to make sure there are no gaps. Ensure staffing and train employees to bridge gaps as the new system is adopted. This process gap is a recipe for disaster, employees end up despising the new system and use it as an excuse to cover up mishaps.

Garantir a precisão, integridade e consistência dos dados é crucial para evitar problemas futuros e assegurar que o sistema reflita com precisão as informações da empresa. A validação minuciosa não apenas confirma a correta transformação e transferência dos dados, mas também permite identificar e corrigir discrepâncias, garantindo que o novo sistema ERP funcione conforme esperado. Além disso, é essencial realizar verificações adicionais para assegurar que todos os aspectos dos dados foram considerados e que o novo sistema atende aos requisitos estabelecidos. A validação completa é um passo fundamental para o sucesso da migração e para a confiança no novo sistema.

Data and training are definitely keys to a successful ERP implementation. But we should also be focused on Organizational Change Management. Let's not forget that the user community is used to running the businesses in a certain way and they all need to be immersed in the new processes. This will lead to embracing the new system which will lead to a successful journey.

Treinar usuário é fundamental para qualquer processo mas para uma migração é algo importantíssimo, usuário tendo conhecimento ajuda a identificar gueps que podem ocasionar com a implantação do novo sistema.

Collecting and migrating more than 90% accurate, cleansed, real time data in the Test instance before starting UAT is extremely crucial for success of the ERP Project. We should definitely avoid using sample data for UAT. This will help us to sort out all data and data migration related challenges well in advance. Subsequently, UAT needs to be conducted judiciously as per standards.

Along with user training it is important to ensure there is adequate post-migration support. Post data migration support is one of the key areas that is ignored.

Investing in thorough user training is key to improving data quality during an ERP transition. When users are well-trained, they enter data consistently and accurately, reducing mistakes. Training helps them understand new processes and workflows, making them more confident and effective. It also teaches best practices for managing data, such as regular checks and quick reporting of errors. With proper training, users can navigate the system smoothly, leading to better data quality and making the most of the new ERP system.