In 2008, after 12 years in engineering at
Whirlpool Corp, I transitioned to an analyst role with Mead Johnson Nutrition
(MJN). I did not have deep technical
knowledge of SAP or any ERP for that matter.
I did not have deep subject matter expertise in infant formula or any
other process industry. My education was
in electrical, not chemical engineering.
I did not have my MBA and I had no clue that I had just spent the first
decade of my career in functions that were part of supply chain. Ten years ago,
I could not have an intelligent debate on the details, merits, or opportunities
for supply chain and supply chain management!
Business intelligence, analysis and analytics provided a path to what
has become an incredibly fulfilling adventure.
I was lucky; the MJN planning director bought into
Gartner’s recommendation that “Being able to write good SQL doesn’t make someone
a good business analyst.” Furthermore, she believed that I had solid
transferrable skills that would provide a great base to leverage data and
insights to create business process improvements. In the interest of transparency, I was not
devoid of basic analysis skills. With a
formal education as an electrical engineer (Minor in math!) and a six-sigma
black belt, I had a solid foundation in data, data, and more data. Did I understand statistics? Sure. Could I perform a regression analysis? Of
course. More importantly, I recognized
the importance of capturing, reviewing/sanitizing, grouping/categorizing,
communicating, and modeling, i.e. building scenarios / predicting outcomes.
I am not a data scientist, but I am an information
provocateur. As we enter the fourth
phase of the industrial revolution, aka Industry 4.0, the unification or
blending of the physical, digital, and biological realm necessitates data
connoisseurs, like me, throughout the business, charged with championing better
leverage and data utilization for quantifying, controlling, and optimizing the
enterprise. Supply Chain is uniquely
focused on the space where digital meets physical and most companies do not
need PhDs embedded in their organization to reap benefits. We need business analysts, folks who display
comfort in complex environments that can consume, employ, and thrive in the
ambiguity of the undiscovered and unfamiliar.
There is a reason that STEM starts with Science
and ends in Math. You cannot have Technology, Engineering, or Digitalization without these
fundamental drivers. Success in Industry
4.0 requires assimilation of STEM into the company DNA and business analysts
from diverse backgrounds with broad experience and a passion for exploring are
the foundation. With a modicum of
quantitative analytical skill combined with excellent communication, a business
analyst can connect the brilliant data scientist to the adept business
executive and achieve unparalleled results.
Victory in the Digital Age requires a new
approach. Do we need deep subject matter
expertise to run our ERP system? Of course.
But, does everyone we hire need 3 to 5 years of experience in our
specific application? Do we need a
fundamental understanding of the industry in which we operate? Absolutely. With that said, perhaps, an analyst or two
from a different sector can provide new and exciting insights, processes or
methodologies. Must all of our analysts
reside in IT or should we embed a few within the business? By remaining
flexible and focusing more on candidates that demonstrate a basic passion for
exploration and learning and less on checking the box for a specific degree,
work history, or experience, we enrich our corporate DNA and ensure triumph.
Christine (Reed) Barnhart
REFERENCES
Schlegel, K. (2011, June 16). Tutorial: Business Analyst Job
Description (Tech.). Retrieved April 19, 2018, from Gartner website: https://www.gartner.com