supply chain intelligence and analytics executive guidelines for success
TRANSCRIPT
Supply Chain Intelligence and AnalyticsExecutive Guidelines for
Success
Christopher Gopal, PhDGlobal Supply Chain & Operations Consultant and EducatorCenter for Supply Chain & Logistics, Drucker School of Business, Claremont
Keith Peterson, PhDPresident and CEOHalo
From the 2016 Supply Chain Guru Prognostications
• Dashboards and basic analytics will drive the "intelligent" supply chain.
• The focus will be on basic actionable intelligence in the supply chain, including daily dashboards and core analytics around customers, supply, inventory, sales & operations planning, fulfillment and finance.
• "Intelligence" will replace the "big data' hype, and companies will start placing a great deal more attention to developing predictive and prescriptive "advanced" analytics driven by the Internet of Things.
• However, it will be the basic dashboards, information and on-demand "what-if" analysis that will be the main concerns of executives in the coming year.
It’s the data!
The biggest problem is inaccurate data, untrusted data, out-of-date data, incomplete data, and just plain wrong data
Data Cleansing, Management, and “Class A” Accuracy will be a critical initiative
Any way, As I like it
Mobile, Tablet, Smartphone, Notebook, Desktop, Watch
At suppliers’ site, customer location, retail outlet, manufacturing plant, warehouse, on the road, government and customs office
In the format and level of detail that is wanted by the user and decision maker – at the aggregate and detailed levels.
From Anywhere
Suppliers, Customers, Channels, Retail, different facilities
Third Parties – Logistics, Fulfillment, Service, other providers
Multiple ERP, databases, and other systems
Sensors, RFID, appliances – the Internet of Things (IoT)
Structured and Unstructured data
The Answer is in the room
The people in the company are the best placed to know their needs, situation and priorities – and information to plan, respond and execute
Outside experts with experience in the Supply Chain provide ideas and suggestions.
The software company can provide the capability and templates, but NOT the answer
And beware of canned “practices” and “methods”
Well-thought out and simple
beats hype and complexitySupply Chain Intelligence, metrics and presentation need to be thought
out first in the context of the company’s operations, structure and key decisions
Focus on Status, Projections and Impacts, and the “what if” analyses to support decision making
Basics trump complexity any time!
FIRST the company must get the information and analytics to improve visibility, velocity and execution.
LATER, if necessary, move to more “advanced” concepts, such as Predictive and Prescriptive analytics
Easy to Use and Simple to UnderstandEasy-to-configure with simple graphics and displays are most effective
Creative ways of showing information for decision support are better than creative ways of display and visualization
Large teams of IT support and analysts with difficult-to-change analytics make for a cumbersome and unusable system
Complex, fancy visualization is great for conferences and presentations, not for day-to-day planning and execution
Let’s keep talking
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