Leveraging Microsoft Teams for Data Analytics

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

WHAT IS IT ABOUT?

Discover how Microsoft Teams can be utilized to leverage data analytics, big data, machine learning, predictive analytics, and data visualization to gain insights into your business.

SKU: f9fd749b-f509-4783-a376-76a560ded6ae Category: Tags: , , , , ,
Available in: English, Dutch, French, German, Spanish
  • The head of IT who needs to understand the benefits of using Microsoft Teams for data analysis.
  • The chief marketing officer who wants to learn about using data visualizations to communicate better.
  • The finance executive who needs to understand the impact of machine learning on their bottom-line.
  • The data scientist who is interested in understanding the potential of predictive analytics.
  • The operations manager who requires insights into how big data can help their workforce.
Explore Big Data
Gaining insights through large datasets

Implement Predictive Analytics
Leverage past data to make predictions

Visualize Data
Represent data in visually appealing ways

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. Have you deployed AI algorithms to process big data sets?
  1. No, we have not developed any AI implementations yet.
  2. We have deployed some basic AI algorithms to process data.
  3. We have fully embedded AI algorithms into our big data processing system.

Q. How do you use Microsoft Teams for model creation?
  1. We are not using Microsoft Teams.
  2. We are using Microsoft Teams to store data.
  3. We are using Microsoft Teams to run ML pipelines on historical data.
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.
NAMETITLE PAPER
gartnerintelligence-report-how-to-optimize-your-digital-customer-service-presence-on-social-media-and-email-excerpt.pdf
mckinsey3_fresh_take_on_food_retailing_vf.pdf
oliverwymanGlobaltensions_Technologyrisk.pdf
gepImpact-of-COVID-19-on-Consumer-Behavior-Global.pdf
oliverwymanOliver Wyman Health Innovation Center - MediFuture Recap (Sept 2014).pdf
capgemini2019-11-04_ADMnext_Oilfield_Solutions_Provider_SS.pdf
lekGrocery-Center-Store-Strategy_LEK-ExecutiveInsights-1729.pdf
capgeminiAI-in-Public-POV_11202020.pdf
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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