Value of Data

Transformative Impact

The conversation around the value of data is multi-faceted and extremely deep. It undoubtedly has a monetary component, however potential value is best viewed from the standpoint of impact to the end user and not the benefit to the provider. The role of data in today’s supply chain should be viewed solely from the aspect of improvement and change, and the degree at which each can occur. The value of data can be measured in two distinct ways; the quality or integrity of the data and its ability to create transformative impact.

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“I believe the most effective use of data as it applies to its use in the supply chain is not as a gun or bullet, but as a singular voice of reason that creates undisputable action and consensus that drives subsequent response. Where the current condition is blind, the AutoSphere platform and the participation of its members creates a light.”

Robert Fink

Chief Data Officer

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Why Do You Need Accurate Data?


The impact of data on an organization or process can be truly transformative. In order for a desired end state however to be fully realized, several foundational elements must be put in place effectively. A high level understanding of what data elements are required to be captured and their future state impact must be fully realized, as well as how to acquire and store the data. Most importantly however is a robust and sustainable process around repeatable data capture with an incredible amount of reliability and integrity. Data will be the engine that fuels progress and the fuel it consumes must be abundant and burn clean.

Intelligent Response

The initiation of intelligent response can begin once a strong foundation is in place. To oversimplify; this concept and process leverages clean data to recognize data patterns and initiate systematic IF / THEN responses. The initial interjection of intelligent response into an application focuses on the recognition of detrimental process deviations and expectational misalignments and notifies key stakeholders autonomously. Increases to efficiency occur through the minimization of focus on problem identification and an associated increase on activities that influence change through recognition and focus.


Best viewed as an evolution from intelligent response, actualization leverages data by applying analytical analysis, business intelligence, and machine learning to empower the application to make autonomous corrections or alterations when appropriate. Adjustments that will have significant impact to the organization or supportive process are made instantaneously as opposed to waiting for user interaction. In many cases this creates substantial positive impacts to both efficiency and bottom line. An actualized application is one that must continuously evolve and change as tomorrow’s challenges are commonly not the same as yesterday’s.


The ways in which data can impact and improve the supply chain and its associated supportive processes are almost too numerous to quantify. Certain common themes however exist in the transformative opportunities to leverage the power of data. Central in these themes is the ability to convert unknowns into knowns, increase efficiencies, and minimize manual interaction or input.

The supply chain has begun to be impacted through the value of data through AutoSphere by:

  • Automating part receipt through “smart” AIAG labels / or associated data to the container RFID tag
  • Dynamically managing empty returns and picks within the application
  • Enabling the creation of a planned vs. actual dashboard that alerts users to deviations from the same as it pertains to
  • Transportation time
  • Shipment quantity vs demand (outbound)
  • Receipt quantity vs ASN (inbound)
  • Part quality / recall management through association of part information to vehicle RFID tag

The examples of data and its impact on the supply chain condition both currently available and in theory are too numerous to detail. The possibilities are truly endless.

How it would help you

The value of data begins with a well thought out definition of the ultimate dream state. Focusing in the now mutes future state possibilities and tends to lead an organization to be stuck with the desire to change but not the ability to change.

The ultimate way in which data can help is to transform and create positive and sustainable change. Data that can be captured repeatedly and flawlessly can create transformative change when applied and leveraged through the lens of a clear organizational strategy and governance model.

The impact of data, intelligent response and eventually actualization can have on an organization are evolutionary in terms of their magnitude. Issue resolution and the time spent on the same is significantly impacted, efficiencies are experienced, costs are driven downwards, and the ways in which supplier relationships are managed change positively.

When navigated successfully the path from current state to dream state through the meticulous creation of a plan and the effective use of data to drive the same results can result in a completely new reality. In many ways data’s value is in its ability to be the currency for focalized change.

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