Software Data Collection and Kaizen Techniques
A major purchasing software system
was to be installed at a multi-national company. The software was specific to
each plant or service department. Teams of consultants would visit each plant
and try to gather the necessary data that the software installers need to
install the software of the particular plant. That data was then given to the
software installer to feed to the purchasing software system and then the
system went live.
The error rate for the new plant
systems was atrocious and the punch lists (errors) were huge. The client was
growing increasingly skeptical about the software.
The software installers decided to
have a Kaizen event. They did invite some data collectors to participate. It
became blatantly obvious that there was no standard data collection process or
technique that the data collectors used. Data was provided on spreadsheets,
hand written papers, MS word documents etc. There was no order or structure to
how the data was collected. When the software installers received the data it
was almost impossible to be accurate with it.
The Kaizen leader took a bold step
and asked the software installers to design the As Is process from scratch, not
an easy Kaizen task but necessary. The installers noted that there were 420
different screens that data had to be entered on when the software was
installed. They brainstormed what to do and came up with a plan to design an
Excel spreadsheet with 420 sheets or one for each screen. Essentially each
spreadsheet somewhat mimicked the entry screen with instructions about the
data. The data collectors in the Kaizen
not only agreed to the new As Is but sold it to the other data collectors. The
spreadsheet soon became more and more sophisticated and made the data
collector’s job much easier by eliminating duplicate entries and creative
macros.
The data entry error rate dropped
from over 50% to less than 1 percent. The client’s confidence in the new
procurement system rose and they ordered multiple new installations.
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