From ERP to Analytics: How to Integrate Systems and See Results in Profit
Digital transformation does not happen simply by adopting new technological tools — it depends on the intelligent integration of systems to ensure data flows, insights are generated, and strategic decisions are based on high-quality information. In this context, connecting ERP (Enterprise Resource Planning) systems with business intelligence (BI) and analytics platforms has become essential for companies seeking to improve performance indicators and increase profitability.
ERP systems concentrate essential data from multiple areas of the company: finance, inventory, sales, purchasing, HR, and production. However, without integration with analytical platforms, this information remains isolated, making it difficult to generate reliable key performance indicators (KPIs).
Integration with analytics tools allows this data to be unified in a single visual environment, combined with other sources (CRM, e-commerce, customer service systems), updated in real time, and displayed in interactive dashboards. As a result, managers gain a holistic and strategic view of the business, enabling them to act with agility and precision.
Benefits of Integration for Financial Results
According to a study by IDC Brazil, companies that use integrated data strategically grow up to 30% faster than those operating with isolated systems. This happens because integration reduces rework and manual errors, increases operational efficiency, improves cost control, optimizes inventory and sales forecasting, and accelerates decision-making.
In addition, a Deloitte study shows that 63% of Brazilian executives state that the use of specialized analytics systems has directly contributed to improving profit margins over the past two years.
KPIs That Come to Life with Integrated Systems
With the integration between ERP and analytics platforms such as Power BI, Tableau, or Looker, companies can monitor and act on critical KPIs, including contribution margin per product, average sales cycle, average ticket per customer, stock-out rate, operational cost per department, and supplier performance.
In Brazil, around 60% of companies already use Data & Analytics to support their business strategy — including product development, risk management, and cost optimization. Additionally, 94% of professionals consider data culture critical to digital transformation.
However, not everything is solved yet: 69% face technical bottlenecks, especially in system integration, and 27% still do not see data as key elements in the customer journey. In marketing management, 70% of companies recognize the importance of data, but only half (46%) manage to unify the information collected. This shows that data collection is still more common than effective integration.
When a Consultancy Becomes Essential
A strong digital transformation consultancy can — and should — go beyond technical implementation. It can work with a consultative, strategic, and customized approach to ensure that integration delivers real business value.
Leading consultancies offer services that include system and data source mapping (understanding current data flows and identifying bottlenecks), data-driven architecture (building pipelines and connectors between ERP, CRM, BI, and other platforms), implementation of dashboards with business KPIs (providing clear, action-oriented visualizations), and data enablement and governance (helping organizations interpret data and build a culture of evidence-based decision-making).
To reiterate: without integration with analytical platforms, information and data remain isolated. And in your company, how is this work being handled? Share your experience with us.
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