You're struggling with decision-making in ERP. How can you enhance your skills for better outcomes?

Improving your decision-making skills related to ERP requires a multifaceted approach. First focus on the purpose of using ERP: An ERP tool is there to help organizational employees execute business processes efficiently in order to achieve the organizational goals for which it exists. When it comes to struggling with decision making in ERP, first choose the area where the struggle is related to: organizational goals, business process, employees, tooling? Make sure you get the organizational goals clear, you understand the business processes and you know the skills level of users related to the ERP. Integrating these areas can help to make good decisions that align with the strategy and having good quality outcomes.

To be able to develop a strategy around an ERP requires significant abstraction work. An ERP is a complex system that, in reality, is simply a combination of multiple interconnected and sometimes overlapping flows. Mastering these flows, understanding the ins and outs, and having an overall view of the system, as well as understanding the production impacts, is a crucial step—too often overlooked—in implementing and maintaining an ERP.

This is the perspective I use when making decisions like these. >Managers at all levels should understand the ERP system’s flow. Educate yourself if you can't articulate a high-level Order to Cash flow, for example. >Use expert resources who know both the system and business processes. Ensure they understand the why! >In those opinions, recognize that people naturally avoid blame. With this lens, I find it much easier to make the decisions.

Boosting your decision-making skills in ERP as a PM requires a strategic approach: •Master the System: Dive deep into your ERP system's functionalities. •Data Literacy: Get comfortable with data analysis and visualization. A data-driven approach supports better decisions. •Stakeholder Communication: Keep lines of communication open with stakeholders to gather insights and feedback. •Training and Education: Continuously upgrade your skills through workshops, courses, and certifications. •Scenario Planning: Practice what-if analyses to foresee outcomes and plan accordingly. •Collaboration: Leverage your team's collective knowledge to make well-rounded decisions. Dive into one of these areas first and see how it changes your game.

Improving decision-making in ERP starts with a strong grasp of the basics. Begin by mastering ERP's core functions and understanding how each module interrelates to support overall business processes. Dive into key features, data flows, and reporting tools to make the most of your ERP system's insights. Knowing where critical metrics reside will streamline your ability to make informed choices and recognize trends. By building this foundation, you’ll boost your confidence in navigating ERP complexities and develop the skills to make better strategic decisions. #ERP #DecisionMaking #BusinessTransformation

Data, Data, Data. Decisions should be based on data, not perceptions. It's a challenge to make sure you do not build data visuals that support your theories, but instead try to let the data tell you what you do not know. This means you'll need to use visuals that support AI. Build BI reports outside of your ERP system, use a tool designed for the sole purpose of letting your data tell it's own story.

Improving ERP decision-making through data analysis begins with building a strong foundation in data interpretation and visualization. Start by learning to extract and organize key metrics, such as inventory turnover, sales trends, or financial variances, from ERP reports. Use tools like Power BI or Tableau to transform raw data into actionable insights through visual dashboards. Familiarize yourself with predictive analytics techniques to forecast trends and detect patterns. Continuous practice in scenario analysis—exploring "what-if" situations—helps sharpen decision-making. By enhancing data analysis skills, you can interpret complex ERP data for clearer, more effective decisions.

Data Analysis: Enhance your analytical skills to interpret ERP data effectively. Identify relevant metrics and use built-in tools to uncover trends and patterns, grounding your decisions in accurate insights.

efore considering the use or even the structure of data, it’s essential to first question the purpose of the data. Creating, maintaining, and analyzing data comes at a cost. While it might seem appealing to generate data and then use AI to extract insights, it’s important to remember that data must ultimately be understandable to the person who needs it. With this in mind, it becomes easier to scale and architect data within an ERP. If data exists, it must have meaning.

A lo largo de mi experiencia profesional he visto muchas empresas invertir en costosas plataformas, sistemas y servicios de implementación, y dejan de lado la importancia que toma hoy en día en invertir en la consultoría y capacitación para obtener los mejores beneficios de su infraestructura tecnología y modelo de datos. Los modelos de negocio deben estar soportados por el modelo de datos y el modelo de datos estar diseñado en el nivel de madurez y desarrollo que se desea alcanzar del negocio.

To improve decision-making in ERP, scenario planning is an effective tool. Begin by identifying key variables—such as demand fluctuations, supplier reliability, or regulatory changes—that impact ERP performance. Develop multiple "what-if" scenarios, ranging from best to worst cases, to explore potential outcomes. Use ERP's data analytics to simulate these scenarios, evaluating impacts on inventory, cash flow, and production. This prepares you for unforeseen disruptions, allowing you to create contingency plans. Regularly update scenarios as market conditions change to stay agile. Scenario planning equips you with foresight and flexibility, leading to more confident, strategic decisions.

Scenario Planning: Practice "what-if" analyses to anticipate potential outcomes, helping you prepare for various scenarios and make proactive decisions.

Scenario planning requires two key skills. The first is, once again, the ability to visualize the possible flows within the ERP—how data will migrate, transform, and move from one module to another. The second is knowledge of the business functions covered by the ERP. You need someone, or a team, capable of understanding most business processes and extrapolating to envision the internal flows within the ERP. It’s worth noting that this point is somewhat connected to data management, as the end user will inevitably challenge both data and planning by using the ERP in ways that may be inappropriate for the system but necessary for the user.

start by fostering open communication among teams, such as finance, operations, and IT, to ensure data accuracy and alignment on goals. Use collaboration tools within your ERP to share insights and track decisions in real time. Regular cross-functional meetings enable diverse perspectives, helping to catch potential issues early. Establish clear decision-making roles, so everyone understands responsibilities, and encourage team members to share best practices or lessons learned. By creating a culture of shared knowledge and accountability, collaboration strengthens decision-making and leads to better ERP outcomes.

Collaborate Effectively: Involve cross-functional teams to gather diverse perspectives. Communication with stakeholders provides context, enhancing the quality of your decisions.

Start by staying updated with industry trends and new ERP features to keep your knowledge relevant. Pursue certifications or courses focused on analytics, data management, and ERP-specific modules like finance or supply chain. Participate in ERP forums or professional groups to learn from peers' experiences. Practice problem-solving through case studies, and apply concepts to real-world scenarios at work. Seek mentorship from experienced colleagues to gain insights into complex decision-making. With ongoing learning and practical application, you build confidence and expertise, leading to better ERP outcomes.

Continuous Learning: Engage in courses, workshops, and ERP communities to stay updated. Exposure to different use cases broadens your understanding and keeps your skills sharp.

To improve decision-making in ERP, the "Reflect and Adapt" approach is key. Begin by reviewing past decisions, noting both successes and areas where outcomes fell short. Reflect on what influenced your choices—data accuracy, stakeholder input, or time constraints—and identify any patterns or gaps. Gather feedback from team members to get different perspectives. Then, adapt by actively seeking new learning, like training in data analytics or workshops on ERP trends. Set small, measurable goals to apply improved decision-making gradually, adjusting as you gain insights. Continuous reflection and adaptation help you make more informed, agile decisions in ERP management.

Reflect and Adapt: Regularly evaluate past decisions to identify improvement areas. This feedback loop reinforces learning and helps refine your approach for better future outcomes.