You’re having trouble visualizing data in your ERP software. What are the best tools to help you?

Visualizing your existing data has multiple benefits: - You can see trends - You can see what's working - You can see what's not working - You can plan future based on the data - You can potentially preempt major risks - You can communicate to others easily

Empower your ERP data visualization with cutting-edge tools like Tableau, Power BI, and Looker. These platforms seamlessly integrate with ERP systems, providing dynamic, interactive dashboards. Elevate decision-making by transforming complex data into actionable insights. Stay ahead in the data-driven era, ensuring your ERP investment delivers optimal value. #DataVisualization #ERP #BusinessIntelligence

An ERP is a systematic representation of your business. Different stakeholders require different visualisations in order to complete actions and make decisions. Giving these stakeholders the different granularity and trends is important in making business decisions

you can utilize below tools to visualize ERP data like: 1. Tableau: For powerful and interactive dashboards. 2. Microsoft Power BI: For deep integration with Microsoft ecosystems. 3. QlikView/Qlik Sense: For flexible data consolidation and visualization.

While visualizing data effectively enhances understanding and communication, it's also crucial to be mindful of the potential for misinterpretation or oversimplification. Data visualizations should be designed to accurately represent the underlying data without distorting or oversimplifying complex realities. This means paying attention to scale, context, and the use of appropriate visualization types for the data at hand. It's important to avoid creating visuals that could mislead or confuse the audience, even inadvertently. Ensuring accuracy and clarity in data visualization is as important as the aesthetic aspect, as it directly impacts the quality of the decisions based on these visualizations.

In my experience, visualizing ERP data can indeed be a complex task. The key is to have a robust data governance strategy in place to manage the complexity and ensure data integrity. This includes defining clear roles and responsibilities for data management, establishing data quality standards, and implementing effective security measures. Additionally, choosing the right visualization tools that can handle the volume and complexity of ERP data is critical. These tools should be able to integrate with various data sources, support real-time updates, and provide intuitive and customizable visualization options.

Los desafíos de visualizar los datos del ERP incluyen: Complejidad de los Datos: Los datos del ERP son complejos y pueden provenir de múltiples fuentes y formatos. Volumen y Dinamismo: Los datos suelen ser grandes y dinámicos, lo que requiere actualizaciones frecuentes. Naturaleza Multidimensional: La naturaleza multidimensional y jerárquica de los datos requiere una selección cuidadosa y agregación de medidas y dimensiones. Seguridad y Confidencialidad: Los datos del ERP suelen ser sensibles y confidenciales, lo que implica la necesidad de seguridad y control de acceso. Falta de preparación en la interpretación de datos. Muchas veces, los usuarios carecen de la capacitación necesaria para entender y analizar adecuadamente los datos

Given the critical sensitivity of ERP data, choosing visualization tools with advanced security features and granular access controls is crucial. Tools like Microsoft Power BI, Tableau, and QlikSense stand out for their robust security measures, ensuring confidential information remains protected against unauthorized access. These platforms offer encryption, role-based access, and compliance with international security standards, balancing the need for data protection with the demand for deep, meaningful data exploration. By integrating such tools, organizations can safeguard their sensitive ERP data while unlocking actionable insights, supporting secure and informed decision-making processes.

En los proyectos que he tenido la oportunidad de llevar, el principal problema es en la combinación y mezcla de datos, no es en si un problema del ERP, más es un tema de no contar con todos los datos almacenados en un solo sitio. Me ha tocado en la estrategia digital, construir estructuras centrales como datawarehouse, con extractores de datos para poderlos centralizar, normalizar y poder combinar en la forma que el negocio lo requiere.

Visualizar dados no ERP é desafiador devido à diversidade de fontes e formatos, incluindo bases de dados, folhas de cálculo e servi?os Web. A complexidade é acentuada pela natureza volumosa e dinamica dos dados, exigindo atualiza??es frequentes. A abordagem multidimensional requer uma sele??o cuidadosa de medidas e dimens?es. A sensibilidade dos dados destaca a necessidade crítica de seguran?a e controlo de acesso.

When selecting tools for visualizing ERP data, consider factors like compatibility, ease of integration, scalability, and user-friendliness. Ensure the chosen tool supports your ERP system, offering seamless data connectivity. Evaluate scalability to handle growing datasets and check for user-friendly interfaces, as ease of use promotes wider adoption. Additionally, consider features like real-time updates, customization options, and community support for troubleshooting and learning. Conduct thorough trials to assess functionality and alignment with your specific ERP visualization needs.

My steps to Evaluate Tools: 1. Identify Requirements: 2. Research Available Tools: 3. Request Demos and Trials: 4. Consult Reviews and Case Studies: 5. Engage Stakeholders: 6. Make a Decision: Based on evaluation, select the tool that best aligns with requirements and offers the most value for investment.

When selecting a data visualization tool for ERP data, prioritize compatibility with your ERP system, the tool's ability to handle the complexity and volume of your data, and the skill level of the end-users. Consider the need for customization, specific reporting features, collaboration capabilities, scalability, security, and compliance requirements. Factor in cost and explore options through trials or demos. Additionally, assess the community and support available for the tool. This holistic approach ensures you choose a solution that aligns with your organizational needs and user capabilities.

When picking a tool for visualizing ERP data, don't forget to check out the AI features. AI is like having a super-smart assistant that can predict trends, spot patterns all by itself and give you some smart insights. You'll want a tool that is making data work harder for you, so you can make smarter moves and stay ahead of the game. Look for something that's not just powerful but also easy to use, with AI that turns complex data into clear action points. A good tool that combines ease of use with powerful AI capabilities for visualizing ERP data is Microsoft Power BI. It's well-known for its robust integration with various ERP systems and its ability to handle complex data sets.

In my experience, the choice of ERP data visualization tools is not only about compatibility, functionality, and scalability. It's also about aligning the tool with the organization's strategic goals and digital transformation initiatives. For instance, if the company is heavily invested in AI or IoT, the tool should ideally support these technologies. Moreover, the tool should be flexible enough to adapt to changing business environments and market trends. Lastly, organizations should consider the total cost of ownership (TCO), not just the acquisition cost, when evaluating different tools.

Tableau and Microsoft Power BI stand out for their robust visualization capabilities and broad connectivity. QlikView/Qlik Sense offers user-driven insights, while SAP BusinessObjects and Oracle BI are ideal for their respective ERP systems, ensuring seamless integration. Domo is notable for real-time data consolidation across various sources, and Looker excels in real-time analytics with Google Cloud integration. IBM Cognos Analytics suits large organizations with complex data, whereas Zoho Analytics is a cost-effective choice for smaller businesses. Lastly, Sisense's user-friendly interface caters to diverse data sources, including ERPs.

I believe a lot depends on the ERP Application you are using. For Example; Oracle ERP, SCM & HCM Cloud provides great data visualization tools which are inbuilt into the application. Oracle Transaction BI, Fusion Analytics, Dashboards provides plethora of information. Why look outside? Now if there are multiple ERPs, and you are looking at consolidated view , I would ask what view? SCM, Fin or Enterprise Performance. Incorta is a great tool to combine such information. Most of the time users become very narrowly focused on getting certain data visualizations. I think it’s very important that leaders understand the overall reporting need and prioritize. A Great ERP Application should give desired reporting ability and visualization.

In my experience, the choice of tool for visualizing ERP data largely depends on the specific needs and capabilities of the organization. Power BI, Tableau, Qlik Sense, and Zoho Analytics each have their strengths and can be more effective in certain contexts. For instance, Power BI might be a good fit for organizations heavily invested in Microsoft ecosystem, while Tableau could be more suitable for those needing advanced visualization capabilities. It's essential to consider factors such as integration with existing systems, ease of use, cost, and the level of support available when selecting a tool.

Oracle BI & OTBI are powerful tools within Oracle ERP space. visualisation capabilities are inbuilt within Oracle makes it a seamless solution.

Free & Open-Source: 1. Apache Superset: Flexible and powerful, requires technical expertise. 2. Metabase: User-friendly, good for quick visualizations, dashboards. 3. Plotly: Python-based library for interactive visualizations, good for developers. Simple & User-Friendly: 3. Google Data Studio: Cloud-based, integrates with Google products, free for basic use. 4. Zoho Reports: Affordable, reports & dashboards with pre-built templates. 5. Microsoft Power BI Desktop: Free version with limited features. Advanced & Feature-Rich: 6. Looker: Cloud-based, powerful analytics with security features. 7. SAP Analytics Cloud: Integrates with SAP systems. 8. IBM Cognos Analytics: Good for enterprise data analysis. Other: 9. Sisense 10. Domo

1. **Training and Courses:** attend workshops on data visualization tools such as Tableau, Power BI, or others commonly used in ERP environments. 2. **Practice with Real Data:** Apply your skills by working with real ERP data. 3. **Explore Advanced Features:** Delve into advanced features of visualization tools to unlock their full potential. 4. **Stay Updated:** Follow industry blogs, attend webinars. 5. **Network with Peers:** Discussing experiences and sharing insights can broaden your perspective. 6. **Learn Data Analytics:** Understanding the fundamentals of data analytics will complement your visualization skills. 7. **Read Case Studies:** Explore case studies related to ERP data visualization.

A explora??o dos desafios na visualiza??o de dados no ERP oferece uma compreens?o abrangente, mas a inclus?o de exemplos práticos ou casos de estudo poderia tornar o conteúdo mais acessível e tangível para os leitores. Incorporar casos reais enriqueceria a narrativa, proporcionando uma perspectiva palpável sobre a visualiza??o de dados no contexto do ERP.

In my experience, visualizing ERP data is not just about technical skills or the right tools, but also about understanding the business context and the specific needs of the audience. The best visualization is one that tells a clear story and supports decision-making. It's also important to remember that data visualization is an iterative process, requiring constant refinement based on feedback and changing business needs.

Companies looking to excel in ERP data visualization should focus on mastering the essentials of data presentation, including chart selection and aesthetic design. Dive into tools like Power BI, Tableau, and QlikSense to understand their unique capabilities. Encourage your team to seek diverse feedback and find inspiration in the wider community to innovate and improve. Regular practice on real-world data sharpens skills and deepens insights. Stay abreast of evolving trends and technologies in data visualization to lead with clarity and vision. This continuous learning and application cycle not only enhances your strategic decision-making but also sets a precedent for a data-driven organizational culture.

Realizaría como una practica regular la retroalimentación con los consumidores o usuarios de los reportes y saber el impacto en su trabajo a partir de la información y como es presentada en los reportes. A partir de estos hallazgos buscaría mejorar los entregables con entrenamiento y practica.

When it comes to visualization of business data sitting on an ERP system (or otherwise), companies should not only approach this from a technology perspective, but also reimagine this from a people and process perspective. In today’s challenging times, it’s absolutely imperative to allow the right business personas to access the right data at the right time and enabling/empowering them to visualize it on their own to fast track data-driven decision making at all levels. Therefore, my recommendation would be to reimagine the roles and the processes, to promote the culture of “self-service” analytics & visualization. Obviously, this requires a certain degree of maturity of the IT organization as well, to support such a shift.

In the context of visualizing ERP data, it's crucial to remember that the right tools will vary depending on the specific needs and goals of your organization. As a management consultant, I've found that a tool's ability to integrate with existing systems, its scalability, and its user-friendliness are key factors to consider. Additionally, investing in training for your team can significantly enhance the effectiveness of data visualization. Ultimately, a well-chosen tool and a well-trained team can transform raw ERP data into actionable insights, driving strategic decision-making and business growth.

For enhancing data visualization in ERP software, consider tools like Microsoft Power BI, Tableau, or Qlik Sense. These platforms offer advanced visualization capabilities, allowing you to create interactive dashboards, charts, and graphs to analyze and present data effectively. Utilize features like drag-and-drop interfaces, customizable templates, and real-time data connectivity to gain deeper insights and make informed decisions. Choose a tool that integrates seamlessly with your ERP system and offers user-friendly functionality to visualize complex data sets with ease.

Consider utilizing tools like: Power BI, Tableau, and Qlik. These tools provide drag-and-drop interfaces, allowing users to create compelling visual representations without extensive coding. Additionally, they support diverse data formats, ensuring compatibility with ERP systems. Integrating these tools can significantly improve your ERP's ability to present data effectively, fostering better decision-making and understanding of business processes.

When struggling to visualize data in your ERP software, consider tools like Tableau, Power BI, QlikView/Qlik Sense, Google Data Studio, Domo, and Looker. These platforms offer robust solutions for creating interactive dashboards and reports, connecting directly to your ERP system's database, and gaining valuable insights from your data with ease. #ahmedalaali11