This document discusses the benefits of a data-driven manufacturing ecosystem. It begins by explaining how collecting manufacturing data can help companies identify operational issues and make improvements to stay ahead of competitors. It then describes different types of manufacturing data that can be collected, including employee, machine, tool, and material data. Finally, it outlines benefits such as optimal costs, accurate data collection, higher efficiency, improved customer satisfaction, and improved safety that result from analyzing this comprehensive manufacturing data.

1. WHAT ARE THE BENEFITS
OF A DATA DRIVEN
MANUFACTURING
ECOSYSTEM?
By- Natifi.ai

3. INTRODUCTION
 With a slew of new competitors entering the
manufacturing or operations market, it’s more
important than ever to make sure your
manufacturing facilities are running smoothly. This
ensures that you can keep ahead of the
competition, raking in income to help your
manufacturing company grow.
 Manufacturers must know everything there is about
their manufacturing floor and how it operates in
various conditions, if they want to stay ahead of
competitors. Manufacturing data collection is the
great way to identify the pulse of your operation and
make changes/optimizations whenever necessary.

4.  This enables firms to gather meaningful data and
make informed decisions on how to enhance their
operations.
 Manufacturing data collection is already being
redefined by Industry 4.0 technologies (low-code
and no-code). Businesses can receive real-time
data by leveraging the rising interconnection
between machines and other data sources.
 As a result, actions can be taken quickly which
means minimizing downtimes which may
otherwise reduce the company’s capacity to
generate revenue.
 Keep reading to learn more about manufacturing
data collection, its advantages, and how to
incorporate it into your operation for the
effective outcomes.

5. WHAT KIND OF MANUFACTURING DATA CAN
YOU COLLECT ?
 When it comes to collecting production data, the
focus shouldn’t be solely on the machines on the
shop floor. Instead, you should broaden the scope
to include more data that accurately reflects the
production process.
 As a result, these are the types of data you should
pay attention to/collect:

6. 1. EMPLOYEE/WORKER/PERSONNEL DATA
 Despite the modern technologies utilised in
production, some machinery still requires boots on
the ground to operate or maintain.
 number of employees, the time worked, and the
quantity of products manufactured are all included
in this type of manufacturing data. As a result, a
manufacturing company can calculate labour
productivity, labour expenses per hour, and labour
costs per item.

7. 2. DATA ABOUT YOUR MACHINES
 Information/Data about machines is crucial to a
manufacturing company. It’s more difficult to
streamline/optimize your manufacturing processes
if you don’t know what’s going on with your
machines across the production line or the factory
floor.
 Data collection in this case comprises establishing
the efficiency of your equipment, as well as
downtime, machine run times, machine quality,
machine performance (over time), throughput, and
other factors across the production line.

8. 3. TOOL HEALTH DATA
 Tool data takes center stage when manufacturers
seek to analyze the condition of their equipment.
After all, the condition of the tools used have a
direct impact on product quantity and, more
significantly, quality.
 This type of data covers the time in use and
downtime, similar to machine data. It does,
however, include maintenance time, as well as
instrument-specific statistics such as the number of
cycles conducted by the tool.

9. 4. DATA ABOUT YOUR MATERIALS
 A company can maintain track of its inventory using
this information. Companies that manufacture
products can make data-driven decisions about the
supply, use, and inventory of various commodities
with the help of material data. As a result, material
data is extremely important in the inventory
management element of the production process.
 Analyzing this data gives managers/business
leaders a thorough image of the entire production
process, allowing them to optimize the operation for
a variety of advantages.

10. WHAT BENEFITS DOES A DATA DRIVEN
MANUFACTURING ENVIRONMENT BRING TO THE
TABLE?
 Optimal manufacturing costs – With the help of
various types of data, your manufacturing teams
can seamlessly identify potential bottlenecks,
implement optimization strategies which in turns
helps in saving huge operational costs!
 Accurate Data Collection – Industry 4.0
technologies such as low-code or no-code
platforms offering conditional logic, automated
workflows and Ai capabilities help manufacturing
firms to improve data collection resulting in minimal
or zero errors.

11.  Higher efficiency – With access to crucial data,
thanks to advanced manufacturing data collection
strategies/solutions, companies can focus on
improving their production line efficiencies.
 Improved client satisfaction – The effective usage of
manufacturing data helps organizations
manufacturing high-quality products which in turn
results in excellent customer satisfaction.
 Improved Safety – With the help of new, improved
and accurate data about machines, tools, equipment
and safety practices, organizations can focus on
improving their preventive maintenance capabilities
resulting in less repair time, avoid costly downtime
and repair time and improve safety protocols for
ground teams.

12. CONCLUSION
 These are a few exciting ways through which data
driven manufacturing ecosystems can benefit
existing enterprises which are dependent on
obsolete and bottlenecked traditional methods,
systems and tools.

13. THANK YOU SO MUCH FOR
READING