What do you do if your business is not benefiting from ERP analytics?

Assess which specific areas of your ERP analytics implementation are not delivering the expected benefits. Review the reporting and analysis capabilities of your ERP system. Ensure that your ERP analytics initiatives are aligned with your business objectives. If you're struggling to derive value from your ERP analytics, consider seeking advice from experts or consultants specializing in ERP systems and analytics. They can provide insights and recommendations based on their experience working with similar businesses. ERP analytics is not a one-time project but an ongoing process. Continuously monitor and evaluate the performance of your analytics initiatives and make adjustments as needed to ensure they continue to deliver value over time.

It is a good question, Ok, when you aren't benefits from the ERP analytics, that pointing to a major problem in your ERP system structure That it hasn't including what is important to know and read in every section of it, that is supplies the information between each other. The problem I mentioned including the solution in it ??

Take the following steps to address this issue and potentially improve the situation Start by reviewing how the ERP analytics system was implemented within your organization. Sometimes, the effectiveness of analytics can be hindered by improper implementation, including inadequate data integration, poor customization, or insufficient training for users. Evaluate the quality and consistency of the data being used for analytics. Identify any data gaps, inconsistencies, or errors and work towards resolving them. By taking these steps, you can better position your business to derive meaningful insights and tangible benefits from ERP analytics, ultimately driving better decision-making and operational efficiency.

Assess data quality Review analytics processes Identify gaps in data utilization Collaborate with stakeholders to understand needs Refine analytics strategies Consider additional training or resources Explore enhancements or alternative solutions

Leveraging an ERP that has no-code custom reporting is a great way for non-technical folks to quickly and easily access reports and analytics that will be most helpful to them.

Poor data quality can cripple ERP analytics. To address this: Assess data for accuracy, completeness, consistency, and timeliness. Understand data sources to pinpoint discrepancies. Define data quality standards and implement data cleansing. Consider data governance for ongoing data quality.

Data Quality: Poor data quality can lead to inaccurate insights. Implement data quality controls and regularly audit data to ensure its integrity.

Data Quality: Garbage in, garbage out. Ensure accurate data entry. User Adoption: Tailor training to user roles and focus on practical applications. Unclear Goals: Define what you want to achieve with analytics to know what data to analyze. Limited Functionality: Consider if your ERP offers the level of analytics you need. Underutilized Features: Explore all your ERP's analytics functionalities.

User Training and Adoption: Ensure that employees are properly trained on how to use the ERP analytics tools. Lack of user adoption can hinder the benefits of the analytics.

This part is often neglected in ERP implementation and causes a huge impact, especially when the system is not very intuitive and self-explanatory. Didactics are very important in these cases, as training is normally carried out all at once, at the very beginning of implementation, before users are more familiar with the ERP and can exercise what they learned in the training. I believe it works well to receive general training and then more modular training according to work routines, allocating hours of training to answering questions after starting to use the system.

Ensure data quality - clean and consistent data is key for good analysis. Define goals - what are you trying to achieve (e.g., cost reduction)? Leverage ERP tools - explore built-in reports, they might be sufficient. Consider BI tools - for deeper dives and trend analysis. Train employees - empower them to understand data insights. Get expert help - for advanced customization and dashboards.

Integration with Business Processes: ERP analytics should be integrated into your business processes. Ensure that the insights generated are actionable and are used to drive decision-making.

In today's digital landscape, businesses face challenges with data inconsistencies, notably between systems from different vendors. Disparities stem from data siloes, resulting in fragmented data. To address this: - Businesses must prioritize enhancing integration for consistent information flow. - Investing in data governance and clear standards ensures data quality. Overcoming data discrepancies is vital for informed decision-making and improved customer experiences. ERP experts play a crucial role by providing expertise in system integration and data governance. With their guidance, businesses can unify insights across systems, drive better outcomes, and optimize ERP solutions.

Continuous Improvement: ERP analytics is an ongoing process. Continuously review and improve your analytics strategy to ensure that it is providing value to your business.

Continuous business process improvement is a priority of ERP post-implementation operations to support business growth. ERP analytics may reveal declining sales and an increasing customer churn ratio. A business goal of proactive selling can help to reverse these trends. To achieve the objective of increasing revenue by 40% over two years, it has been decided to collect, store and analyze customer interactions via multiple communication channels like phone, email, chat, social media and in-store visit to have a 360° profile view of every customer. Analytical insights like sentiment analysis enable proactive and personalized marketing, sales and after-sale services. ERP analytics is used to monitor how such actions improve revenue over time.

Use the data! ERP systems have built-in tools and reports, leverage them. Clean data in, clean insights out! Ensure data accuracy for reliable analysis. Focus on insights, not just reports! Analyze data to find trends and opportunities. Empower with data! Train employees or hire analysts to unlock the potential.

1. Assess how ERP analytics are currently being used within your organization. Determine if there are any gaps in utilization or if users need additional training. 2. Ensure the data being fed into the ERP system is accurate, consistent, and up-to-date. 3. Look into integrating other data sources or analytics tools with your ERP system to provide a more comprehensive view of your business operations. 4. If needed, consider consulting with subject matter expert to identify areas for improvement and optimize the use of analytics. 5. Implement a process for continuously monitoring the effectiveness of ERP analytics and making iterative improvements based on feedback and performance metrics.

Businesses should regularly test their analytics strategies and based on the results, iterate and improve. Follow a cycle of measure, learn, and optimize. Don't hesitate to experiment with different analytical techniques and tools, as long as they align with business objectives.

More often than not, I have seen the rush for “popular KPIs” vs “Proper KPIs”. It is critical to examine what each KPI brings to the table and how do we consume them, who, when, frequency and decisions. An under appreciated factor is to recognise leading vs lagging KPIs. As I said most popular KPIs and usually the lagging ones and proper ones are leading ones. E.g tracking free of customer engagements can be a leading indicator to probability of deal wins// Customer Satisfaction can predict CR revenue growth // order fill rate and on time fulfilment predict revenue etc.

If your business isn't seeing results from ERP analytics, start by evaluating data quality and system implementation. Ensure employees receive thorough training and support for effective utilization. Customize analytics to align with specific business needs, and continuously monitor and optimize processes. Consider seeking external expertise if internal efforts fall short of desired outcomes.

We need to understand and revisit the Business Mission, Vision and Target of usage of ERP analytics. Baselining on this try to find the Gaps in the ERP analytics in terms of input and output data, KPIs. Once the gaps are found, next task is to address through various means like correcting input data, using right data, usage of right KPIs or correcting and developing KPIs to meet business needs.. Same iterations should be repeated until Business requirements are met..

Assess Current Implementation: Evaluate how the ERP analytics are currently implemented in your business. Ensure that the data being collected is accurate, relevant, and timely. Review Business Objectives: Revisit your business objectives and ensure that the ERP analytics align with these goals. If there is a mismatch, adjust the analytics strategy accordingly. Consult with Experts: If your business is struggling to benefit from ERP analytics, consider consulting with experts in ERP systems and analytics. They can provide insights and recommendations on how to improve your implementation.