You’re working with ERP data. How can you make sure you’re getting the most out of it?

Make sure the data is correct and current; Utilise all of the ERP system's capabilities and functionalities on a regular basis; Teach users how to operate the system efficiently. Work together with data and IT specialists to maximize the use of data.

Après 28ans de carrière dans le monde de l'ERP et des progiciels de gestion, il est impossible, d'après moi, d'avoir la certitude que la DATA est "correcte" à 100% et qu'elle reflète la réalité. D'où la nécessité de prévoir dés la mise en place des "points de contrôle" intégrés dans le flux pour vérifier la cohérence et corriger les erreurs de saisie à temps.

É essencial compreender a origem e os dados interligados as estruturas do nosso sistema ERP, assim conseguimos mensurar uma análise precisa e eficaz. Condiz no conhecimento da matéria prima antes da construção de algo. Cada módulo do sistema como estoque, contabilidade, vendas e recursos humanos interligados entre si, é como uma peça de um quebra cabeça que compõe a imagem completa da organização. Portanto, antes de mergulhar de cabeça na análise dos dados do ERP, é crucial entender suas fontes, suas atualizações, sua confiabilidade e possíveis erros. Essa compreensão é a base para extrair insights valiosos e tomar decisões informadas e bem fundamentadas para impulsionar o seu negócio.

Implementing SAP BO has been a game-changer for us! With its powerful reporting and analytics capabilities, we've been able to unlock the full potential of our ERP data. The intuitive interface and robust features have allowed us to gain valuable insights, streamline our decision-making processes, and drive strategic initiatives with confidence. SAP BO has truly empowered our team to harness the wealth of data within our ERP system and leverage it to drive business growth. If you're looking to maximize the value of your ERP data, SAP BO is definitely a game-changing solution to consider!

When considering your data, it's essential to adopt a process-oriented perspective. Despite initial intentions, many implementations tend to deviate towards a siloed approach focusing solely on financial or supply chain data. During the harmonization process, it's crucial to analyze data with regards to process intensity, variations, system integration, data commodities, and reporting. Emphasizing data tracking trends throughout the lifecycle of development and operation is imperative. Implement stepwise AI and Data Science strategies aimed at capturing organizational data trends.

Ter um ERP é fundamental para o sucesso do nosso negócio . Conhecer suas métricas , metas , KPIs , sao essenciais para atingirmos as metas lançadas . Todo o seu time conhece as métricas a serem alcançadas ? Acompanham as metas com regularidade ? Constroem planos de ação em caso de desvio ? Pensem nisso ….

I think defining your business goals and questions is crucial. It involves identifying key performance indicators (KPIs), understanding trends, patterns, and anomalies, and articulating hypotheses to test. This clarity helps focus analysis on relevant data and avoid distractions from irrelevant information, leading to actionable insights and tangible business outcomes.

Depois de compreender como os seus dados de ERP funcionam, o próximo passo é definir o que você quer alcançar com eles. Isso envolve identificar as principais métricas que você deseja melhorar, descobrir tendências e padrões importantes, e testar hipóteses relevantes para o seu nicho de mercado. Ao definir claramente os objetivos, devemos nos concentrar na análise dos dados que realmente importam, evitando distrações como informações irrelevantes.

One thing I've found helpful is to consider the integration touchpoints as well. Is the data getting integrated with any thirdparty and what is the recurrance and volume and technology beimg used behind it. What is the business need of this and is there any possibility to use LTR for the historical data to enhance performance.

One of the things I have learned in the Google Data Analytics journey, and as important specifically in this field is " ask the right questions " Preparing the checklist or the questionnaire along with the real stockholders and expertise from customer site is the key to digest the business, goals and get any implementation successfully done..

Ao selecionar ferramentas e abordagens para analisar dados de ERP, considere: Natureza e complexidade dos dados: Escolha ferramentas e técnicas compatíveis com a estrutura e volume dos seus dados. Por exemplo, dados estruturados podem ser mais adequados para bancos de dados, enquanto dados não estruturados podem exigir técnicas de ciência de dados. Expertise analítica: Avalie a capacidade da sua equipe para utilizar diferentes ferramentas e técnicas. Opte por soluções que correspondam ao nível de habilidade e conhecimento dos seus analistas. Limitações de orçamento e tempo: Considere custos associados à implementação e manutenção de ferramentas, assim como o tempo necessário para análise e obtenção de insights.

I believe that harnessing Data Analysis and Reporting capabilities through business intelligence tools within the ERP system is essential for deriving insights. Creating customized reports and dashboards enables organizations to monitor key performance indicators (KPIs), track trends, and identify areas for improvement effectively. Moreover, I believe that leveraging Data Mining and Predictive Analytics techniques can help uncover hidden patterns, correlations, and trends within ERP data. By proactively utilizing these methods, businesses can anticipate future trends, identify potential risks, and make informed decisions, thus enhancing strategic planning and operational efficiency.

An ERP system capability to integration with other systems is very important, any disconnect in the process from one system to another eventually makes the whole process tedious

After defining our business goals and questions, selecting appropriate tools and techniques is crucial. We'll utilize a combination of software applications like spreadsheets for basic analysis, BI platforms for interactive dashboards, and data science tools for advanced analytics. Techniques will include descriptive analytics to understand historical data, diagnostic analytics to identify root causes, predictive analytics for forecasting, and prescriptive analytics for actionable recommendations. Our choice of tools and techniques will align with our data complexity, analytical capabilities, and resource constraints, ensuring effective analysis of ERP data to support decision-making and achieve our objectives.

After defining business goals and questions, selecting appropriate tools and techniques for ERP data analysis is imperative. Tailor your choice to needs and preferences, considering options like spreadsheets, databases, business intelligence (BI) platforms, or data science tools. Opt for techniques aligned with objectives, be it descriptive, diagnostic, predictive, or prescriptive analytics. The suitability of tools depends on data type, size, complexity, and your analytical skills, budget, and time constraints. This strategic alignment ensures efficient analysis, maximizing the utility of ERP data to inform decisions and achieve business goals within resource constraints.

Toda tecnologia deve ser utilizada como uma ação de ajuda em processos/procedimentos repetitivos, mas nada irá substituir a análise humana, uma tecnologia usada de forma correta necessita iniciar com a base End to End de todo seu processo seja ele manual ou automatizado. O que quero dizer com isso é: Toda inteligência Artificial e/ou um RPA deve estar ligado a pessoas e processos sem isso nada irá funcionar.

I think it's crucial to visualize and communicate results effectively to stakeholders and decision-makers. Utilizing appropriate charts, graphs, tables, dashboards, or reports helps present findings clearly and compellingly. Incorporating storytelling techniques such as narratives, context, and recommendations enhances the understanding of the results' meaning, significance, and implications. Through effective visualization and communication, the value of ERP data analysis is demonstrated, influencing positive actions and outcomes within the organization.

Além de se ter bem definidos os Indicadores Financeiros, Indicadores Operacionais e os Itens de Controle, os principais divisores de água são: - Painel de Controle único para toda a empresa; - Rotina no mínimo mensal de apresentação dos resultados e planos de ação; - Envolvimento e Engajamento das equipes envolvidas (gestão e staff) para que a realização do trabalho conte com a força do grupo.

Take a step back and really think about who your stakeholders are, before working on visualisation. Most of the time we forget that the key users are the ones who need the most out of the system, as the focus commonly goes directly to management. That aside, to communicate effectively, we must add and provide context to it. Just grouping sales figures by country or location may look great on charts, but with some context (pulling in Cost of Goods Sold / expenses, against sales, margins, landed costs etc), key users are able to make better sense of the data within the ERP system.

In my role as a Customer Success Manager, I emphasize the pivotal importance of visualizing and communicating the success stories of our software implementations to stakeholders and decision-makers. I advocate for showcasing the tangible impact and returns on investment achieved by our customers within their organizations. Data visualizations serve as a key element in this process, providing clear and customizable insights aligned with individual business goals. Through effective storytelling techniques and continuous communication, I encourage them to present their findings in a compelling way, demonstrating the substantial value of our software and influencing positive actions and outcomes for our clients.

To maximize ERP data utilization, integrating ERP with other business applications is key. Overcoming the challenge of disparate systems requires implementing robust integration solutions to ensure seamless data flow. This enables a comprehensive view of enterprise performance, bridging gaps between ERP and other systems.

Continuous Improvement is key to ensuring the effectiveness of your ERP system and data management processes. It involves ongoing evaluation and refinement to enhance system performance and data quality. Soliciting feedback from users allows for the identification of areas needing optimization, ensuring that the ERP system meets evolving business needs. Staying updated on new technologies and best practices in ERP implementation enables organizations to leverage the latest advancements for improved efficiency and effectiveness. By prioritizing continuous improvement, businesses can adapt to changing requirements and maintain a competitive edge in the dynamic landscape of enterprise resource planning.

To get the most out of your ERP systems you need to ensure that Senior Leadership truly understands the value add and benefits of having a robust and efficiently utilised system that operates as the Company's financial backbone; supporting it's life blood, ie revenue and income. Without their full engagement and investment ERP systems will not be adequately maintained, upgraded, utilised and supported. They are your first and key stakeholders to engage.

Como tips adicionales, Los puntos claves en el análisis de datos de un ERP son: 1. Se deben comprender los procesos de la compañía, como estos están mapeados en los datos del ERP y considerar que es común que exista información calculada o controlada por fuera del ERP que puede complementar la historia a contar. 2. Definir el público objetivo al diseñar los reportes. No es lo mismo lo que quiere ver un gerente, que un supervisor o un auxiliar. Entre mas alta sea su posición, mas abstracta y analítica será su visión. Mientras que los niveles mas bajos buscan reportes con alto nivel de detalle. 3. Tenga en cuenta que incluso una persona en un mismo cargo piensa diferente, por lo que es importante colaborar con el lector al diseñar.

Globalized ERP systems that are fully integrated across the system echo system landscape will allow for the best outcomes with a more immediate analysis of data from all systems and subsystems. Working with the company’s leadership to establish what success means to them, the investors, the board members and COO outcomes for the future. This will establish a baseline of the objectives to be obtained, and establish short, medium and long term strategies. Establishing an analytical approach that is realtime and provides insights into the critical questions senior leadership is asking and driving towards a predictive model to prepare for the future concerns before they actually become a concern