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The Workplace Intelligence Accelerator leverages machine learning and big data analytics to combine and transform data, allowing customer to easily identify factors that influence how people work in their organization.

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MSUS Solution Accelerator

Workplace Intelligence Accelerator

Businesses are using the power of data to transform their organization's systems and processes, but many overlook the impact of applying the same principles to its workforce. Inspired employees are 125% more productive than an employee who is merely satisfied. While almost three quarters (71%) of organizations see the need for workplace intelligence strategies as critical to their business success over the next year, only 8 percent feel equipped to act on that need.

The Neudesic Workplace Intelligence Accelerator built on Microsoft Azure leverages machine learning and big data analytics to combine and transform data, allowing customers to easily identify factors that influence productivity and engagement. This accelerator unlocks insights and recommendations to aid customer software development and HR teams to maximize product feature velocity, increase product quality, monitor employee burnout risk, and increase employee productivity. It can also help you uncover and leverage the key drivers of productivity and success for product development teams by helping to pinpoint the processes and tools that boost performance and worker wellbeing so they can deliver innovative high-quality products and services.

Azure Synapse Analytics leverages AI and Power BI in a dashboard that provides visibility into work habit data from Microsoft 365 to help your team optimize efficiency, improve collaboration, and maintain health work/life balance.

Challenges

  • Reduce meeting load and increase focus time.
  • Maintain or change work patterns over time to help get work done.
  • Keep valued employees in business-critical roles and keep internal leadership pipeline full.
  • Increase employee satisfaction and engagement without reducing productivity.
  • Measure workplace practices and understand what changes could enable productivity.
  • Identifying sources of tech debt.
  • Institutional knowlege is lost when top performers leave their jobs.
  • Product quality and release velocity are impacted when teams work with incomplete and inaccurate metrics.

25% decrease in the available labor pool in the tech industry while the number of posted jobs nearly doubles over the same period

Benefits

  • Gain more collaboration time, improve your meetings, and share knowledge.
  • Identify work habits or distractions that reduce your team's ability to focus on core priorities.
  • Determine effective means to improve employees' work-life balance.
  • Reduce development time with end-to-end unified analytics.
  • Quickly analyze data to determine which factors impact workforce efficiency.
  • Pinpoint and reduce sources of tech debt, distraction, and disruption.
  • Find and replicate processes that maximize developer productivity.
  • Identify the best technologies for a given task or function.
  • Reduce friction by optimizing tools to automate task and workflow initiation.
  • Build a holistic accelerator with tools already in your environment.
  • Create a strong technical culture by retaining most talented developers.

Productive businesses have around 30%-50% higher operating margins than those less productive companies

License

Copyright (c) Microsoft Corporation

All rights reserved.

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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The Workplace Intelligence Accelerator leverages machine learning and big data analytics to combine and transform data, allowing customer to easily identify factors that influence how people work in their organization.

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