Business Intelligence Solutions for
Manufacturing
Do you struggle to keep up with production demands and market trends?
Business Intelligence (BI) could be the game-changer you need. Imagine having the ability to optimise production processes, manage supply chains, and predict maintenance needs - all with ease.
Is finding cost-saving opportunities or identifying inefficiencies a challenge?
BI can help you spot these in real time, allowing for more efficient production and smarter resource allocation.
Ever felt overwhelmed by data from production lines and supply chains?
BI analyses patterns and operational data for you, helping you deliver a seamless production process that meets demand. At the core, BI empowers you to make data-driven decisions that boost efficiency, reduce risk, and drive profitability. If these are challenges you’re facing, BI is the solution you’ve been looking for.
What are the four key priorities in Manufacturing?
Efficiency & Productivity
Streamline production lines and reduce downtime.
Inventory & Supply Chain
Keep inventory and supply chain data accurate and connected.
Quality & Compliance
Monitor quality metrics and maintain compliance effortlessly.
Cost Management
Track and control production costs in real time.
Pain Points
Data Silos:
Production, inventory, quality, and maintenance data are trapped in separate systems, making it hard to get a complete picture or act quickly on bottlenecks.
Manual OEE or Quality Tracking:
Teams waste hours tracking performance and quality by hand, leading to delays, errors, and missed chances for improvement.
Demand Forecasting Issues:
Without accurate, forward-looking data, you’re forced to rely on guesswork for purchasing and scheduling—resulting in costly stockouts, overages, or downtime.
How We Help You
Cost Efficiency: Cloud solutions reduce the need for substantial hardware investments, allowing manufacturers to allocate resources more strategically. This can lead to significant cost savings and enable investment in other critical areas.
Scalability and Flexibility: Cloud platforms provide the ability to scale resources up or down based on demand. This flexibility helps manufacturers manage production spikes and lulls more effectively, ensuring optimal resource utilisation.
Enhanced Data Analytics: Cloud-based systems offer advanced data analytics capabilities, enabling manufacturers to gain real-time insights into their operations. This can improve decision-making, enhance productivity, and drive innovation.
Improved Collaboration: Cloud solutions facilitate better collaboration across different departments and locations. This can streamline processes, reduce delays, and improve overall efficiency.
Security and Compliance: Cloud providers often offer robust security measures and compliance certifications, helping manufacturers protect sensitive data and meet regulatory requirements.
Improved Forecasting: By tracking potential sales through various stages, manufacturers can better predict future sales and production needs. This helps in aligning manufacturing schedules with expected demand, reducing overproduction and stock-outs.
Resource Allocation: Effective sales pipeline management allows manufacturers to allocate resources more efficiently. By understanding where prospects are in the sales process, companies can ensure that the right resources are available at the right time, optimising production and reducing waste.
Enhanced Customer Relationships: Managing a sales pipeline helps in maintaining consistent communication with prospects and customers. This can lead to stronger relationships, higher customer satisfaction, and increased repeat business.
Identifying Bottlenecks: A well-managed sales pipeline can highlight stages where prospects are getting stuck. This allows manufacturers to identify and address issues that may be hindering the sales process, improving overall efficiency.
Data-Driven Decisions: Sales pipeline management provides valuable data that can be analysed to make informed decisions. This includes insights into customer behaviour, sales trends, and the effectiveness of sales strategies, enabling continuous improvement.
Demand Planning: Cloud-based forecasting tools allow manufacturers to plan for demand more efficiently by analysing historical data and market trends. This helps in aligning production schedules with actual demand, reducing overproduction and stock-outs.
Resource Optimisation: By providing real-time insights into inventory levels, production capacity, and supply chain status, cloud forecasting helps manufacturers optimise their resources. This ensures that materials and labor are used efficiently, minimising waste and reducing costs.
Improved Collaboration: Cloud platforms facilitate better collaboration between different departments and stakeholders. Sales, production, and supply chain teams can access the same data and forecasts, leading to more coordinated and informed decision-making.
Enhanced Accuracy: Advanced analytics and machine learning algorithms used in cloud forecasting can improve the accuracy of predictions. This leads to better planning and fewer disruptions in the manufacturing process.
Scalability: Cloud solutions can easily scale to accommodate the growing needs of a manufacturing business. As the company expands, the forecasting tools can handle larger datasets and more complex analyses without requiring significant additional investment.
Data-Driven Decision Making: BI consultants help manufacturers leverage data to make informed decisions. By analysing historical and real-time data, manufacturers can identify trends, track key performance indicators (KPIs), and optimise processes.
Operational Efficiency: BI tools provide insights into production processes, helping to identify bottlenecks and inefficiencies. This enables manufacturers to streamline operations, reduce downtime, and improve overall productivity.
Predictive Maintenance: BI consultancy can implement predictive analytics to foresee equipment failures before they occur. This proactive approach to maintenance helps in reducing unplanned downtime and extending the lifespan of machinery.
Quality Control: By analysing data from various stages of the production process, BI consultants can help manufacturers maintain consistent product quality. This includes detecting defects early and ensuring compliance with quality standards.
Supply Chain Optimisation: BI tools can integrate data from different sources, providing a comprehensive view of the supply chain. This helps in optimising inventory levels, improving supplier performance, and reducing costs.
Enhanced Collaboration: BI platforms facilitate better communication and collaboration across departments. This ensures that everyone has access to the same data and insights, leading to more coordinated and effective decision-making.
Tracks financial performance, aiding in budgeting, planning, and compliance.
Statistic: Manufacturers using financial analytics can reduce operational costs by 20%.
Finance Module
Predicts market trends and operational performance, enhancing risk management.
Statistic: 81% of manufacturers have implemented at least one data and analytics use case.
Forecasting Module
Manages supply chain processes, ensuring efficient production and distribution.
Statistic: Manufacturers using MSP modules see a 15% reduction in supply chain costs.
MSP Module
Tracks financial performance, aiding in budgeting, planning, and compliance.
Statistic: Manufacturers using financial analytics can reduce operational costs by 20%.
Finance Module
Predicts market trends and operational performance, enhancing risk management.
Statistic: 81% of manufacturers have implemented at least one data and analytics use case.
Forecasting Module
Manages supply chain processes, ensuring efficient production and distribution.
Statistic: Manufacturers using MSP modules see a 15% reduction in supply chain costs.
MSP Module
Statistics that Speak Volumes
80%
Over 80% of companies have invested in BI tools.
5x
Businesses that use BI tools are 5x more likely to make faster decisions.
30%
Businesses using BI tools experience a 20-30% increase in operational efficiency.
25%
Companies that implement BI tools report a 20-25% increase in employee job satisfaction.
6x
Businesses with a BI strategy are 6x more likely to identify new revenue streams.
50%
Businesses save an estimated 1,200 hours (50%) annually on manual data entry and report generation by using BI tools.
