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July 01, 2018
Identify the suppliers that are costing
you with late deliveries, damaged orders
and unavailable products for orders that
have already been placed.
Realize the most cost efficient amount
of raw materials to be ordered for each
production cycle. Neither excess nor
deficient.
Improve sourcing through
a better understanding of
supplier quality and
performance.
Establish connections
between operational KPIs
and critical business metrics
to gain insights from machine
utilization to machine plant-
floor productivity.
Uncover the quality of
production, energy usage,
capacity, and error log to ensure
consistent output across multiple
lines on a micro and macro scale.
Harness data to understand
the cost and efficiency of
every component in your
production life cycle. Sending
you an automatic alert when
machines need replacement
or maintenance.
/
Monitor the age of inventory
by analyzing the data from
scanned item coming in stock
to achieve an efficient
arrangement structure and
product flow management.
Use historical inventory
data, past sales and
market research to predict
the right product to stock in
specific warehouses and
regions.
Track whether the
customer order is made on
time. Sending automatic
alerts when delivery is
delayed and when
inventory is approaching
stock out.
Calculate fill rate, order
fulfillment rate, and other
important KPIs to ensure
real improvements when
applying analytics to
manufacturing.
Determine which product
lines or items to sell to
specific customers or
regions based on past
sales market research and
historical data. Forecast demand using
past purchasing history,
similar customer buying
patterns, geographical
factor, market trends, and
price. It will further guide the
production chain.
Combine existing data
with past sales and
market research to build a
more accurate forecast of
the purchasing trends and
customers’ buying
behavior.
- -
- - -
Connect and integrate supply
chain management, production
line, sales, and inventory data
from various systems like ERP,
CRM, and others.
Deliver meaningful insights
in ways that are easily
accessible and relevant to all
employees in a centralized
location, such as an
interactive dashboard.
Understand the cost and
efficiency of every component
in your production life cycle and
after sales.
’ ,
5
. 15 .

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DrivenBI SRK - 5 Key Benefits of BI in Manufacturing

  • 2. Identify the suppliers that are costing you with late deliveries, damaged orders and unavailable products for orders that have already been placed. Realize the most cost efficient amount of raw materials to be ordered for each production cycle. Neither excess nor deficient. Improve sourcing through a better understanding of supplier quality and performance.
  • 3. Establish connections between operational KPIs and critical business metrics to gain insights from machine utilization to machine plant- floor productivity. Uncover the quality of production, energy usage, capacity, and error log to ensure consistent output across multiple lines on a micro and macro scale. Harness data to understand the cost and efficiency of every component in your production life cycle. Sending you an automatic alert when machines need replacement or maintenance.
  • 4. / Monitor the age of inventory by analyzing the data from scanned item coming in stock to achieve an efficient arrangement structure and product flow management. Use historical inventory data, past sales and market research to predict the right product to stock in specific warehouses and regions. Track whether the customer order is made on time. Sending automatic alerts when delivery is delayed and when inventory is approaching stock out. Calculate fill rate, order fulfillment rate, and other important KPIs to ensure real improvements when applying analytics to manufacturing.
  • 5. Determine which product lines or items to sell to specific customers or regions based on past sales market research and historical data. Forecast demand using past purchasing history, similar customer buying patterns, geographical factor, market trends, and price. It will further guide the production chain. Combine existing data with past sales and market research to build a more accurate forecast of the purchasing trends and customers’ buying behavior.
  • 6. - - - - - Connect and integrate supply chain management, production line, sales, and inventory data from various systems like ERP, CRM, and others. Deliver meaningful insights in ways that are easily accessible and relevant to all employees in a centralized location, such as an interactive dashboard. Understand the cost and efficiency of every component in your production life cycle and after sales.