Business Objects Manufacturing Industry Solutions
BusinessObjects users in manufacturing are using business intelligence
(BI) solutions to streamline the flow of information across the
organisation and throughout the supply chain to reduce cycle and
manufacturing times and adapt quickly to market changes.
Business Intelligence (BI) helps companies in the manufacturing
industry by increasing their ability to:
- Identify the value of customer orders and relationships
- Respond quickly to changing markets
- Accelerate new products to market
- Reduce inventory investment
- Improve planning, scheduling and procurement
- Maintain and develop quality assurance
- Select and apply world-class technologies
Agile manufacturing enterprises cultivate a responsive environment
and continually focus on improvements in lead time, product quality,
and lower production costs.
Business Intelligence (BI) Reporting & Analytics software is
Strategic levels to align goals with capability part of their strategic
approach to attaining their goals. across the organization and through
the supply chain to reduce cycle and manufacturing times and adapt
quickly to market changes.
Operational levels - sharing enabling information across operational
functions: product development, quality control, supply management
and logistics [shipping and distribution]
SMB manufacturers are less likely to invest in technology needed
to fully automate their business processes. This is largely due
to the geographically dispersed manufacturing operations common
However, timely receipt and distribution of information and documents
can greatly improve the efficiency of processes, reducing approval
cycles and decreasing time to market.
Distributed capture of business-critical documents as soon as
it is received at remote locations, enables the relevant business
data to be immediately routed into the appropriate system or business
Distributed capture also ensures documents are under organizational
control by managing them in a repository, facilitating regulatory
To date, manufacturers have been reluctant to deploy distributed
capture solutions due to the limitations of the solutions available.
Many older solutions were over complex, IT resource intensive, infelxible,
difficult to integrate with ECMs and expensive. However, newer solutions
have overcome these issues.
Case Study - Consumer Health Product Manufacturer
A large manufacturer operating manufacturing facilities in 35 countries
needs to ensure that quality control of products manufactured at
each facility meet product specifications.
Whenever a product fails a quality check, an event is triggered
which requires the associated machine to be shut down to allow engineers
to identify the cause of the problem. Regardless of whether the
problem is with the machine or is a process control issue [raw materials
not processed as predicted] the result is: an unusable product,
delayed shipment of usable product, and delayed production while
the problem is addressed. In turn, this leads to increased production
costs, lost revenues, and lower customer satisfaction.
To reduce such events, quality team must be able to identify defective
product in a timely manner and make the information available to
operation managers so that the cause can be readily identified and
the problem can be fixed.
They must also identify defective raw materials and notify suppliers
quickly to minimize process-related red events. Most of the company’s
products are manufactured using more than 30 different raw materials,
the majority of which are obtained from outside suppliers.
Optimizing financial performance requires managers to have an
in depth understanding of how products and customers consume resources
and this is why manufacturers are adopting more sophisticated cost
and profitability analytics - solutions that go beyond production
and include the supply chain, support functions and infrastructure.
With a robust and reliable understanding of costs and profitability
and their sensitivity to changes in demand, managers are able to
make informed and incisive decisions about strategy and tactics.
For certain manufacturers, where the product or the delivery method
is tailored for the individual customer, it may be appropriate to
use profitability analytics at the micro-level by individual customer
or individual transaction.
1KEY Business Intelligence (BI) helps manufacturers give them
better visibility of their financial performance and the insight
and understanding to improve it. These include solutions for cost
and profitability analytics and for operational planning and budgeting.
Being able to quickly assess the impact of internal and external
changes, 1KEY BI helps such companies become more agile and better
able to keep the bottom line on track.
This scenario enables you to analyze production process transaction
data in order to be able to carry out the following types of analysis:
Production period-specific analysis
Solutions To Manufacturing Issues
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More Detail on Manufacturing BI Strategy, Program & Technology
Index | General Sector | SMB
Sector | Contract Sector |
| Technology Used | IT
Roadmap | Business Benefits
| BI in Manufacturing
| Concurrent Manufacturing | BI
Solution Requirements | BI