Data Powered Supply Chain – Leveraging Big Data and Predictive Analytics

Original price was: € 199,00.Current price is: € 0,00.


Put your supply chain on the path of success. Unleash the potential of Big Data, Machine Learning and Predictive Analytics to revolutionize your supply chain operations

SKU: 11bfa0af-4e7a-4ecf-a5aa-56ffbf6f78b6 Category: Tags: , , , , ,
Available in: English, Dutch, French, German, Spanish
  • The Executive team member looking to drive customer satisfaction
  • The Finance department that needs to justify investments in tech-driven supply chain initiatives
  • The Operations manager who is interested in helping his team with predictive analytics
  • The Marketing director eager to leverage data visualization for tracking customer trends
  • The Analytics experts wanting to make their mark with machine learning-driven insights
Supply Chain Optimization
Use data based decision making to optimize supply chain operations

Big Data Analysis
Gather analyze and interpret large volumes of data

Business Intelligence
Make use of artificial intelligence and analytics to gain a competitive advantage

Data Visualization
Create effective visuals to easily interpret data and communicate insights

As you can see, you're not asking your respondents for opinions, satisfaction or agreement. Our scientific research has shown that these are very bad fuel for algorithms. Instead, we ask for verifiable facts or -behaviour. For further reading, you can download our AMAIZE magazine dedicated to this topic or discover the scientific papers in the Resources section.

After you have downloaded this questionnaire, you can - in your Toolbox - edit, add/delete, and translate questions & answers to your liking. Clicking the "Help me PRAIORITIZE" buttons in the Toolbox activates our A.I. to help you finish your masterpiece..

Q. What technologies have you employed for data collection?
  1. No, we haven't done any data collection yet.
  2. We have a manual process to acquire data.
  3. We use AI and ML tools to collect and process data.

Q. What strategies do you use to manage a large and complex dataset?
  1. We have no strategies in place to handle complex datasets.
  2. We manually process data on an ad hoc basis.
  3. We use automation and artificial intelligence technologies to predict outcomes.
The artificial intelligence creating the questionnaires for the store has been inspired by over 11.000 whitepapers from more than 100 noted consultancy firms. Algorithms selected the 20% best papers and grouped papers from different consultancy firms into specific questionnaires. Why settle for less? Here is a summary how we did it.

If you feel you need outside support after conducting your assessment, we recommend the firms that have written the below mentioned whitepapers. Not having a paper selected does NOT mean that a firm does not give good advice.
You will download so much more than a set of questions and answers. This questionnaire contains everything for the full consultancy experience:
  • Respondent profiles for a helicopter view of your audience.
  • A maturity model with which algorithms calculate a six times smarter improvement target (compared to when you leave that to a human).
  • Improvement suggestions (per question) how to move from one answer to another
  • Suggested follow-on projects. After all, moving your organization from A to B might require more than just doing an assessment.
This English questionnaire is also available in Dutch, French, German, and Spanish.


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