ERP & Business Intelligence Integration: Everything to Know

The business world is exploring heights of success where data-driven capabilities are becoming important to make much better decisions and boost customer satisfaction rates. That is why most businesses have been considering ERP solutions over the years to streamline data and boost business productivity.

But ERP brings along a range of data which makes getting useful insights challenging. This makes the entry for Business Intelligence (BI) tools to ensure success and drive change. By integrating them, you can create synergy, which will help your organization generate new insights and improve operations. 

Here, we will share the complete guide to Integrating ERP with BI tools. Continue reading to get useful insights here. 

ERP & Business Intelligence Integration

About Business Intelligence

 Business Intelligence software serves as the backbone for businesses since it offers full visibility into business operations, allowing them to make informed decisions based on data. With BI, companies gain the flexibility to step into marketing themself more effectively which leads to better profitability and efficient decision making. Hence, you can easily adapt to the changes in the marketplace.

By pulling data from a centralized repository, BI generates dashboards and reports that show a business' current status. The software produces detailed, comprehensive analyses that assist users in improving their front-office and back-office operations.  

Key Components of Business Intelligence

Data Collection & Integration

Databases, data lakes, and APIs are examples of data sources 

Toolkits for ETL (such as Talend, Informatica, and SSIS)

Data Warehousing 

Some of the data warehouse are used for different purposes and include Snowflake, Amazon Redshift and Microsoft Azure Synapse Analytics. Besides that, there are variety of data modeling tools that is available in the market such as ER/Studio, ERwin Data Modeler, SAP PowerDesigner, etc.

Analysis & Reporting 

Tools for data visualization (such as Tableau, Power BI, QlikView) 

The use of statistical analysis tools (such as R, Python, IBM SPSS) 

A machine learning tool (such as TensorFlow, scikit-learn, Amazon SageMaker)

Business Performance Management 

Tool sets for monitoring key performance indicators (e.g., Google Analytics, Salesforce, SAP Analytics Cloud) 

Toolkits to assist with planning and budgeting (e.g., Adaptive Insights, Anaplan, IBM Planning Analytics, etc.) 

Businesses can enhance performance by leveraging these components and gaining valuable insight into their operations.

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Importance of Business Intelligence Tools Within ERP Systems

The first step in integrating and operating these solutions is to grasp a more complete understanding of what they are and what makes them unique. Here are some ways we can leverage their capabilities to maximize their impact.

Enterprise Resource Planning Systems 

There are various detailed, integrated software solutions present in the market, including Acumatica and Microsoft Business Central, which are defined to streamline the finance management, human resources, supply chain, and manufacturing within an organization.  

Business Intelligence Tools 

BI tools put across, analyze, and visualize data from various sources like ERP systems. The main aim of BI tools is to begin extracting the useful insights from raw data, which makes them the perfect choice for boosting efficiency. Data-driven decision-making is made easier with reporting, dashboards, and analytics features.

Major Differences Between ERP & Business Intelligence

Level of Analytics 

  A Business Intelligence tool provides business analysts with access to strategic-level analytics. In what way? As a result, they are able to gain a comprehensive understanding of the performance of the organization and formulate specific strategic business decisions. They have gathered data from a variety of sources that will allow them to run an in-depth analysis to gain additional insights and knowledge. By utilizing BI features, business processes and operations can be enhanced from a bird's eye view. 

The ERP software offered by this company provides an operational-level analysis. Data related to transactions and operations is stored in such systems. Consequently, ERP provides an accurate view of the business from the perspective of all operations. As opposed to Business Intelligence, ERP cannot provide a comprehensive analysis of performance across an enterprise.

OLAP vs. OLTP 

Business Intelligence is built as a system for Online Analytical Processing (OLAP). With it, analysts are able to perform reporting and visualizations as well as dashboard management and scorecard generation. Cleaning data is automated with BI and you can use various formats to display data from different sources in one go. 

The ERP system, on the other hand, is classified as an OLTP. As transactions occur, it records them. The Internet can be used for banking, shopping, ordering, etc. Economics or finance are the terms used to describe the transactions. As a result, they can be retrieved anytime in order to fulfill accounting or reporting requirements.

Competencies 

The aim of Business Intelligence is to forecast and plan for the future instead of reporting on the past. Thus, focusing on the future offers agility to the organization, a capability enabled by predictive analytics. Organizations can use this information to make better, informed decisions, anticipating the needs of the markets in the future. 

In contrast to business intelligence, ERP solutions are focused on enhancing and delivering various forms of business process efficiency. Several factors contribute to this, including reducing IT costs, improving customer service, enhancing internal communication, enhancing inventory management, or providing real-time access to data. Implementing a proper ERP system is highly likely to enhance business efficiency.

Limitation of Operating Business Without Integrated Systems

Visibility is Limited

Integrating systems across various departments and operations results in better visibility across the company. An organization's performance becomes difficult to assess when data is scattered across multiple systems. As a result, leaders are unable to access real-time data easily, which hinders their decision-making. Thus, opportunities or problems may be missed by ignoring key trends or emerging issues.

Data Silos & Inaccuracy

When businesses don't have an integrated system, their information is trapped between different departments and systems. Consequently, different teams may be relying on outdated or incomplete information across the organization, leading to inconsistencies and errors. It is difficult to ensure accuracy when departments operate independently, resulting in duplicated or conflicting data. Eventually, this can undermine trust in the data and lead to poor decisions.

Reporting is Slow & Inefficient

 When systems are not integrated, the process of business reporting can be slow and inefficient. Data must be manually compiled in order to generate reports from multiple sources. During this manual process, errors may occur, and delays may occur. It is possible that reports that are made available too late have already become outdated, making it impossible for them to provide timely and accurate information.

Inventory Management is Poor

Inventory management requires integrated systems. Business may face challenges to track head to head inventory levels with complete accuracy without integrated solutions which can sometimes lead to overstocking or stockouts. The inefficient inventory management is inadequate, leading to various backlash like delays in delivery, high carrying costs increase, and customer dissatisfaction.

Decision Paralysis 

Choosing the right decision becomes significantly more difficult without an integrated system. Having insufficient data and lack of timely insights can lead to a paralysis of decision-making. Leaders are overwhelmed by conflicting or incomplete information. Due to this, they may delay making critical decisions, resulting in delayed growth or risk mitigation. The indecisiveness of a company can result in loss of competitive advantage and loss of valuable opportunities.

Cost Increases 

Operational costs are often higher when systems are not integrated. Resources and time are wasted on manual processes, repeated data entry, and inefficient workflows. Labor costs can also increase due to the lack of streamlined operations, as employees spend more time doing administrative work than value-added work. As a result of manual errors, there may also be costly rework or penalties.

Opportunities Squandered 

The business stage is filled with high-end competition, giving you only a little space to quickly identify and act on opportunities. Collecting data and analysis brings a series of challenges without integrated systems, which leads to missed opportunities.

Fragmented Customer Experience 

Customer experiences can be fragmented when systems are not integrated. Offering a seamless and custom experience brings through the challenges when customer data is widened across multiple platforms. 

Customer interaction may occur throughout departments like sales, support, and marketing without the company getting a clear view of the customer's preferences and history.

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Promising Benefits of Integrating ERP & BI ​

Improved Business Predictions  

By utilizing easy-to-understand dashboards, Bi will be able to provide you with a comprehensive overview of all your ERP data. Increased employee productivity.

The BI system generates accurate reports without the need for dedicated data analysts, allowing your staff to focus on other tasks. Reporting accuracy.

By automating data analytics, human error can be reduced, which could have devastating consequences. Additionally, it eliminates the need to create multiple reports. Analytics that are predictive and prescriptive.

With BI functionality integrated into ERP systems, historical data can be analyzed, and future trends can be predicted. Predictive analytics can also be provided by BI for future business decisions.  

Historical Insights

By analyzing your company's previous data through ERP and BI, you can identify growth opportunities and analyze your numbers. 

Forecasting with Greater Accuracy  

Forecasting is made easy and even convenient when there is a combined integration of ERP and Business Intelligence (BI) tools. With the ERP system, you get a chance to put together a variety of historical data, including sales data, inventory data, and financial transaction data. Various Advanced algorithms and predictive analytics are utilized by BI tools to identify the data and get accurate forecasts.

Preventative Maintenance 

With ERP and BI integrated, it is easier to analyze equipment and machinery performance in real-time and implement preventative measures. The ERP system tracks maintenance schedules, repairs, and equipment usage, while the BI tool analyzes this data to predict when a machine will become inoperable.

Analyzing Waste Areas 

Integrated ERP and business intelligence systems allow organizations to more effectively identify and analyze waste. With innovative integration, businesses enjoy the benefits of identifying inefficiencies, like excess inventory, overproduction, or energy waste, and eliminating them.  

Changing Access Rights 

BI and ERP systems combined greatly enhance business information updating and access. One source of truth is created by ERP systems by centralizing data from various departments. BI tools facilitate real-time updating of this data by integrating it with BI tools.  

Visibility is Improved 

An organization's operations can be significantly enhanced through the integration of ERP and BI. Business intelligence tools provide powerful visualization and reporting capabilities in conjunction with ERP systems. From high-level overviews to granular details, this integration provides managers with a more holistic view of their organization's performance. 

How BI-ERP Integration Across Different Domains is Beneficial Choice for Businesses?

By combining BI tools and AI-powered ERP systems, you can extract valuable insights from data across numerous operational areas, resulting in more informed decisions, streamlined processes, and a higher profit margin.

Analysis of Sales & Revenue

With the aid of ERP systems, you can easily identify the best-performing products and regions, thereby maximizing sales further and strategizing production and inventory management to achieve sustainable growth.

Inventory Management & Optimization

Insights derived from BI-ERP are essential for inventory management, especially when it comes to assessing stock levels, turnover rates, and stockouts. The use of real-time data allows companies to predict items that are slow-moving and make adjustments accordingly to reduce warehouse and distribution costs, increase retail sales, and minimize risk.

CRM

CRM and ERP data integration helps you understand customer interactions holistically. Customers can be more satisfied with personalized marketing campaigns, retention rates are higher for lasting sales, and profit margins are improved.  

Monitoring of Financial Performance

Business intelligence tools are particularly useful for analyzing ERP system financial data. As a result, key profitability metrics, cash flow, and ROI can be tracked. For maximization of capital gain, analyze cost-saving opportunities to enhance operations forecasting and budgeting.  

Analyzing Supply Chains

BI-ERP solutions can also be used to track the performance of suppliers, lead times, and delivery schedules in the supply chain. Supply chain disruptions can be minimized and services and goods can be delivered on time

Education

Integration of BI-ERP improves decision-making and operational efficiency in the education sector. Educational institutions' data, such as student records, academic performances, attendance records, and financial records, is often vast. With BI integrated with ERP, managers can monitor real-time student performance and financial performance. 

In addition to improving strategic planning, this integration allows institutions to utilize resources more effectively and enhance student outcomes.

Finance

Integration of BI and ERP greatly benefits the finance sector, primarily through enhanced financial reporting and analysis.

Retail 

Retailers rely on BI-ERP integration to optimize operations, improve customer satisfaction, and increase profitability. Integration of BI with ERP systems simplifies the supply chain, inventory tracking, and customer data management for retailers. 

Healthcare 

Implementing BI in a healthcare system is key to enhancing patient care, improving operational efficiency, and complying with regulations. Healthcare organizations manage a large amount of data, including patient records, treatment outcomes, and financial information.  

Best Practices to Integrate Business Intelligence Tools with ERP Systems

Integrating a Business Intelligence tool with ERP calls for two systems that need to be connected to ensure seamless data exchange.  

Step 1: Data Extraction

The primary step in the process of integration is data extraction from the ERP systems' databases. To extract the data, BI tools utilize connectors or APIs to facilitate the process. To keep up with consistency and accuracy, you need clean transfer and format data.  

Step 3: Analyzing & Visualizing The Data 

Business intelligence tools allow users to analyze data by implementing various techniques, including OLAP (Online Analytical Processing) and data mining. Moreover, dashboards, reports, and visualizations give a complete picture of the outcome.


Step 2: Warehousing Data

Next you need to perform the Query optimization on the transformed data before aiding it to store in the data warehouse. However, the data from various ERP modules can be identified in a unified manner.  

Step 4: Interactive Reporting & Insights

Business intelligence tools provide users with improved analytics, user-friendly interfaces, and seamless experience that ease the interaction with the reports, going deeper into the details and conducting ad hoc analyses. Hence, employees gain the upper hand to obtain detailed insights from the data and maximize their productivity.

BI-ERP Integration Challenges: How Can You Overcome Them?

Business intelligence tools bring many benefits to the table but come with the challenges of integrating with ERP systems. If you are taking an edge for smooth integration and streamlining your workflow, here are the top things to consider to overcome the BI-ERP integration challenges:

Quality of Data

Data quality sets the root for the success of business intelligence. To minimize inaccurate insights, ERP solutions must ensure that data within their system is consistent, high standard, and consistent.

Managing Change

To bring new technologies into the action, change management strategies require effective implementation. To boost the value your employees get from the new BI tools, you must run through end-to-end training and support them.

Governance & Security

Another way to overcome the challenges of BI-ERP integration, users to take steps to prevent sensitive information and comply with relevant regulations. To make it possible, you must set robust data governance policies and security protocols.

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Conclusion

ERP & Business Intelligence sets the stage for businesses that allows you shape your business operation and exceed customer expectations. Choose the reliable development partner to make most of BI tools to gain a competitive edge to streamline business operations. No more compromising on business operation, follow the right strategies to take an edge on BI integration and eliminating all the challenges that comes your way.


Tushar C

A seasoned tech enthusiast, holds the position of CEO at Silent Infotech and serves as the CTO at SpeedBot, an algorithmic trading platform. Renowned internationally as a speaker on emerging technologies, Tushar boasts over a decade of diverse experience in the tech industry. His journey commenced as a developer in a multinational corporation, and he later co-founded Silent Infotech alongside two other members. Tushar's expertise spans a multitude of technologies, including blockchain, AI, Python, Dotnet, and cloud solutions. He leverages his extensive knowledge to deliver a broad spectrum of enterprise solutions to businesses. A true technology master, Tushar excels in managing cloud infrastructure for large-scale enterprises. To learn more about his insights and expertise, connect with him.

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