Companies are in a transition period. They are recognizing that the key to their success is bridging the gap between their data and how they work.
How does it work today? Users still have to hunt around to find the relevant data and figure out what to do next, and then further navigate around in their existing workflows and applications to make an impact.
By bridging the gap between your data and how you work I mean systems pulling data and pushing tasks to users according to customizable templates and workflow models. This is a nascent trend. But it is growing quickly.
Here are three key steps to successfully bridging the gap between your data and how you work.
A supply chain example
Let’s use the example of supply chain to understand this flow better. For context, the example is an operations center that is responsible for order fulfillment.
We’ve all been a part of this experience, either as a worker or as a customer who has received shipments. In a world of all-consuming e-commerce, this has high relevance for almost everyone!
The problem with order fulfillment is that exceptions are the norm. This throws a monkey wrench into the best planned supply chain operations. This is also a great example of how data can be leveraged to bridge the gap between chaos and a smoother operation.
Step 1: What is the result? How is it converted to tasks?
Emcien’s analytics on supply chain data can predict which orders will be delayed and why. The results are connected into the workflow to improve supply chain responsiveness and operational efficiency. Emcien pushes this intel directly to your workforce, or through their apps and reporting tools, and to the execution systems.
Step 2: Who will act on the tasks and how?
Emcien’s analytics gives you a ranked list of all at-risk shipments, ranked by how likely they are to be delayed. When your teams have a prioritized list of exceptions, they can re-prioritize work and re-order work schedules to re-assign the workforce to smooth out the disruption with highest efficiency.
This also helps operations teams to know where to focus and how to respond most efficiently within the operating constraints.
With ranked exception, they can focus their efforts—no more guessing—and deliver the highest success rate.
Step 3: How does this solve the problem? Can it be measured?
The chaos of disruption in a supply chain impacts all the workers because they are working without directed focus to solve a problem.
The data contains signatures of the shipments that are disrupted along with the reasons why. It also contains the signatures of systemic problems that, if resolved, can create a smoother operation.
The key performance indicator like number of delayed and on-time shipments can be measured and monitored directly from the data in on ongoing process.
The data can also track the time to resolution, workforce involved, and such metrics that indicate leaner, agile operations and fulfillment.
The really cool thing is that the data has it all. Connecting data to how you work just makes work easier all the way around!
The future of work
Welcome to the future of work. No – robots and machines will not replace everyone. On the contrary, systems will help us to do our jobs better and deliver much higher productivity.