Precision in Production:Manufacturing with Data Products
Accurate inventory management, efficient supply chains, equipment uptime: the manufacturing industry must ensure optimal performance in countless areas simultaneously. Data products can forecast demand, prevent out-of-stocks and overstocks, optimize supply chain logistics, and predict equipment maintenance needs.
Efficient use of data is the only way to ensure smooth production without disruptions. Manufacturers gain real-time visibility across the supply chain and production. This enables them to forecast and better allocate resources. As a result, they can streamline processes, measurably reduce costs, and increase productivity.
Data productsfor manufacturing
Complex supply chain management
Manufacturing companies need to coordinate with multiple suppliers, production sites, and more, resulting in an extremely complex supply chain. Fragmented supply chains can lead to delays in delivery. This is due to a lack of visibility and coordination between suppliers.
Instead, data products provide greater visibility and coordination between all parties in the supply chain. This results in more effective resource management and planning along the entire supply chain.
Data sources:
Supplier inventory, supplier capacity, stock count, items IDs, warehouse ID, warehouse location, demand history, pricing
Data sources:
Inventory, stock levels, item IDs, warehouse location, supplier information, replenishment rate, pricing, demand history, warehouse ID
Data sources:
Purchase orders, invoices and bills, production records, inventory systems, supplier contracts and agreements, freight and shipping records, financial statements, overhead and indirect costs
Data sources:
Inventory management systems, point of sale (POS), warehouse management (WMS), purchase orders and sales orders, barcode/RFID scanning, demand planning, procurement, sales and inventory reports
Data sources:
Customer surveys, customer feedback channels, order and delivery data, support tickets, CRM systems, customer returns and exchanges, loyalty programs
Data sources:
ERP, financial statements, account payable and receivable, inventory levels, payroll and employee expenses, supplier invoices and payments, sales and revenue data, cash flow forecasts
Data sources:
Purchase orders and invoices, expense reports, supplier receipts and invoices, credit card statements, travel management systems, payroll and HR systems, vendor contract and agreements, travel and entertainment expenses
Production efficiency and optimization
To remain competitive, manufacturers must improve the efficiency of their manufacturing operations. This requires reducing inefficiencies and bottlenecks in all operations and allocating and utilizing resources optimally. Data products provide deep insight into inefficiencies and resource management.
As a result, production processes can be streamlined, resource use can be optimized, and waste can be reduced. Data products increase the overall efficiency of production and enable significant cost savings.
Data sources:
Purchase orders, invoices and bills, production records, inventory systems, supplier contracts and agreements, freight and shipping records, overhead and indirect costs, financial statements
Data sources:
Inventory management systems, point of sale (POS), warehouse management (WMS), purchase orders and sales orders, barcode/RFID scanning, demand planning, procurement, sales and inventory reports
Data sources:
Sales and order data, point of sale (POS), customer feedback and survey, manufacturing execution systems (MES), internet of things (IoT) devices, supply chain, CRM, warranty and service
Data sources:
Financial statements, cost data, production metrics, sales and revenue, capital expenditures, operating and maintenance costs, labor data
Data sources:
Financial statements, asset register, asset acquisition and maintenance, production metrics, sales and revenue, cost, asset use, supplier and vendor
Data sources:
Financial statements, cost data, revenue, production metrics, cost of capital, supplier and vendor, overhead and operating, process and quality
Data sources:
Financial statements, accounts payable records, supplier data, purchase orders, inventory and production, payment history, supplier performance, cash flow
Data sources:
Sales, accounts receivable, CRM system, financial systems, order fulfillment, credit and risk management, payment history, customer contracts and agreements
Data sources:
Sales, accounts receivable, CRM system, financial systems, order fulfilment, credit and risk management, payment history, customer contracts and agreements
Data sources:
Budget data, actual expense, production data, cost accounting, purchase and procurement, labor data, overhead cost, variance analysis reports
Data sources:
Expense reports, purchase and procurement, accounts payable, payroll, vendor invoices, utility bills, maintenance records
Quality control and process improvement
Quality control and process optimization in manufacturing are critical to ensuring customer satisfaction, reducing costs, ensuring regulatory compliance, and minimizing risk. Data products provide the manufacturing industry with detailed insight into production processes and quality metrics.
New insights enable manufacturers to refine processes, improve product quality, better comply with regulations, and mitigate risk. This ultimately leads to increased customer satisfaction and a competitive advantage.
Data sources:
Customer surveys, customer feedback channels, order and delivery data, support tickets, CRM systems, customer returns and exchanges, loyalty programs
Data sources:
Customer support ticketing, CS communications, feedback channels, incident reports and escalations, knowledge base and self-service portals, SLAs, satisfaction surveys
Data sources:
Financial system, cost tracking systems, procurement and purchase records, project management systems, cost analysis and reporting tools, vendor and supplier invoices
Inventory management and demand forecasting
When it comes to inventory management and demand forecasting in manufacturing, you need to align inventory with costs, avoid capital lockup, and plan supply chains with foresight. Data products can help with accurate forecasting and real-time inventory tracking.
This enables manufacturers to anticipate market demand, optimize inventory levels, and reduce the cost of excess inventory. This frees up capital, increases supply chain efficiency, and makes manufacturers much more responsive.
Data sources:
Inventory management systems, sales and order data, purchase and receiving data, historical sales and inventory data, production and manufacturing data, supplier data, customer data, market and industry data
Data sources:
Point of sale (POS), order management, CRMs, inventory management, market and industry data, product attributes, finance systems
Data sources:
Point of sale (POS), CRMs, inventory management, online sales and website analytics, market and industry data, customer surveys and feedback
Data sources:
Website analytics, social media analytics, advertising campaign data, email marketing metrics, referral and affiliate data, paid search data, CRM data
Data sources:
Financial statements, inventory management systems, sales, procurement and supplier data, CRMs, historical financial data
Data sources:
Accounts payable records, purchase orders, supplier invoices, supplier performance metrics, financial statements, ERP or accounting systems
Data sources:
Accounts receivable system, sales order system, CRMs, financial systems
Regulatory compliance and traceability
Manufacturing companies must comply with industry standards and regulatory requirements. This requires accurate manufacturing reporting.
Data products help with accurate tracking and reporting and ensure traceability. This makes it easier to comply with regulations and improves operational visibility and accountability.
Data sources:
Inventory management systems, warehouse management systems (WMS), sales and order management, procurement and supplier systems, quality assurance and inspection data, regulator and compliance databases, supply chain and logistics data
Data sources:
Sales data, product attributes, CRMs, marketing automation platforms (MAPs), regulatory compliance databases, supply chain data, market research data
Data sources:
Financial systems, supplier data, purchase orders, invoices, payments, compliance and audit reports, regulatory and legal databases
Data sources:
Sales data, CRMs, accounts receivable data, payments, compliance and audit reports, regulatory and legal databases, contracts
Data sources:
Accounts receivable data, sales data, CRMs, payments, compliance and audit reports, regulatory and legal databases
Equipment maintenance and downtime reduction
To make the production process reliable, manufacturers need to reduce equipment failures and unplanned downtime.
Data products can be used to develop productive maintenance strategies to reduce downtime and maintenance costs. Data products provide visibility into system performance and maintenance requirements. As a result, systems have a longer service life.
Data sources:
Equipment maintenance systems, production process, financial systems, equipment downtime, maintenance costs, energy consumption
Data sources:
Equipment maintenance systems, sensor data and internet of things (IoT) devices, production data and downtime logs, maintenance technician reports
Data sources:
Human resources (HR), maintenance logs and work orders, training and certification records, performance evaluations and feedback, exit interviews
Data sources:
Maintenance costs records, inventory management systems, word order system, vendor and supplier data, energy consumption data, financial and accounting records
Data silos and integration challenges
Data silos and integration issues are a major challenge in almost every industry. Manufacturers, in particular, work with a wide variety of systems and changing data sources. Data products can help break down silos by sharing internal, external, partner, and marketing data.
As a result, manufacturers can make more informed decisions and respond more flexibly to market changes.
Data sources:
Sales systems, enterprise resource planning (ERP) systems, financial systems, point of sale (POS) systems, e-commerce platforms, distributor or channel partner data, market research data, customer feedback und surveys
Data sources:
Manufacturing systems, enterprise resource planning (ERP) systems, inventory management, supplier and procurement systems, bill of materials (BOM), labor management, quality control systems, historical costs
Data sources:
Revenue data, cost of goods sold (COGs), inventory data, manufacturing and production data, overhead and indirect cost data, financial systems, historicals
Data sources:
Financial systems, sales and revenue data, costs, inventory levels, accounts receivable and payable data, production and manufacturing data, expense data, cash flow statements
Data sources:
Human resources (HR) systems, payroll systems, exit interviews and surveys, performance management systems, training and development records, attendance and time tracking, employee surveys and engagement platforms, recruitment and onboarding systems
Workforce productivity and training
Workforce productivity and effective training are key success factors for manufacturers. To maintain a highly skilled workforce and optimal productivity, continuous training must be provided.
Data products provide manufacturers with valuable insights into employee engagement, training effectiveness, and workforce efficiency. As a result, employee skills are improved, operational performance is increased, and product quality is ensured.
Data sources:
Employee surveys, training and development records, performance management systems, learning management systems, employee engagement platform, employee performance metrics, exit interviews and retention data, employee demographic and employment data
Data sources:
Human resources information systems (HRIS), payroll data, exit interviews, training and development records, performance management systems, employee satisfaction surveys, recruitment and hiring data, employee engagement platforms
Data sources:
Employee health and wellness programs, health insurance claims and benefits data, employee assistance programs (EAP), absenteeism and sick leave records, occupational health and safety data, health risk and assessments, employee surveys
Data sources:
Training and development programs, training vendor invoices and contracts, learning management systems (LMS), training material and resource expenses, employee training feedback and evaluation, human resources and payroll records, expense reimbursement requests
Data sources:
Pre- and post-training assessments, employee performance metrics, training evaluation survey, manager feedback and performance reviews, learning management systems, on-the-job performance observations, employee self-assessments
Common systems:
AllScripts, Anaqua, Anaplan, Apriso MES, ARISg, Apttus, BioClinica CTMS, Brandwatch, Cerner, Cerner Millennium Pharmacy, ComplaintPro, Conga Contracts, CPA Global, Empirica Signal, Epic, Epic Willow, Florence eBinders, Fishbowl, Freshdesk, GlobalData, Hootsuite, Icertis, Intuit QuickBooks, IQVIA, Jira Service Management, Medidata Rave, Microsoft Dynamics, Microsoft Excel, Microsoft Project, Microsoft Teams, Model N Revenue Cloud, NetSuite, OpenClinica, Oracle AERS, Oracle Argus Safety, Oracle Clinical Trial Management System, Oracle ERP, Oracle Financials, Oracle Health Sciences, Oracle Sales Cloud, Oracle Supply Chain Management, PAS-X, Pure, QuickBooks, REDCap, Revitas, Salesforce, SAP, SAP Inventory Management, SAP S/4HANA, SAP Supply Chain Management, ServiceNow, SharePoint, Siemens SIMATIC IT, Slack, SurveyMonkey, Sympletic Elements, Veeva CRM, VigiFlow, Xero, Zendesk.
Manufacturing excellence through data productsBenefits of One Data
Build, manage, and share data products
Build
Expedite manufacturing projects with integrated data products for improved production lines and market agility, enhancing efficiency and decision-making.
Manage
Boost manufacturing data management with tools for quality, traceability, and lifecycle, ensuring operational consistency and reliability.
Share
Use the Data Product Marketplace to securely share manufacturing data, supporting innovative production and resource management strategies.
Reuse
Apply existing data products to optimize manufacturing tasks and processes, improving resource management and product quality.
Frequently asked questions
Data products optimize inventory management by providing real-time tracking and accurate forecasting. This aligns inventory with costs, prevents overstocking or stockouts, and improves supply chain efficiency. By anticipating market demand and optimizing inventory levels, manufacturers can reduce excess inventory costs and increase responsiveness.
Data products provide enhanced visibility and coordination within complex supply chains, involving multiple suppliers and production sites. They enable effective resource management and planning, leading to reduced delivery delays and a more efficient supply chain, ultimately supporting better overall operational efficiency.
Data products facilitate accurate tracking, reporting, and ensure traceability, making it easier for manufacturers to comply with industry standards and regulatory requirements. They improve operational visibility and accountability, helping to maintain consistent quality and safety standards.
Data products provide deep insights into production inefficiencies and resource management, enabling manufacturers to streamline production processes, optimize resource use, and reduce waste. This leads to increased overall production efficiency, significant cost savings, and a competitive edge in the market.
Data products enable the development of predictive maintenance strategies, providing visibility into system performance and maintenance needs. This approach reduces downtime and millions in maintenance costs while prolonging the service life of equipment, ensuring more reliable and efficient production processes.
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