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How can you use emerging tech to improve decision-making collaboration?

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Decision-making collaboration is the process of involving multiple stakeholders in making choices that affect a common goal. It can be challenging to coordinate, communicate, and align different perspectives, preferences, and priorities, especially in complex and uncertain situations. However, emerging technologies can offer new ways to enhance decision-making collaboration by facilitating data collection, analysis, visualization, and sharing. In this article, you will learn how to use some of these technologies to improve your collaborative decision-making skills and outcomes.

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Ganes Kesari

2X Founder & CEO @ Tensor Planet | Transforming Waste Management | MIT SMR Columnist | TEDx Speaker

1 Data collection

One of the first steps in decision-making collaboration is to gather relevant and reliable data that can inform your choices. Emerging technologies can help you collect data from various sources, such as sensors, surveys, social media, or web analytics, and integrate them into a common platform. For example, you can use cloud-based services or APIs to access and store data from different devices and applications. You can also use tools like Zapier or IFTTT to automate data collection and transfer between different platforms. By using these technologies, you can reduce the time and effort required to collect data and ensure its quality and consistency.

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Ganes Kesari

2X Founder & CEO @ Tensor Planet | Transforming Waste Management | MIT SMR Columnist | TEDx Speaker
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Today, we're spoilt for choice when it comes to consumer behavior data. For example, Google Trends helps you understand what millions are searching for right now, in each geography around the world. Social data is a great source to understand diverse types of audiences - professional or otherwise. Crowdsourced data is readily available to understand stakeholders and inform your decision choices.

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2 Data analysis

Once you have collected the data, you need to analyze it to extract meaningful insights and patterns that can guide your decision-making. Emerging technologies can help you perform data analysis faster and more accurately, using techniques such as artificial intelligence, machine learning, or natural language processing. For example, you can use tools like IBM Watson or Google Cloud AI to apply advanced analytics and cognitive computing to your data. You can also use tools like Tableau or Power BI to create interactive dashboards and reports that can help you explore and understand your data. By using these technologies, you can enhance your data analysis capabilities and discover new opportunities and solutions.

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Ganes Kesari

2X Founder & CEO @ Tensor Planet | Transforming Waste Management | MIT SMR Columnist | TEDx Speaker
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AI capability is increasingly getting democratized. The rise of no-code AI platforms and bundling of AI into commonplace tools makes it easy to analyze your data with the latest algorithms. For example, let's say you have collected crowdsourced market survey data with textual responses from customers. You can use AI large language model (LLM) tools like ChatGPT or Bard to run quick analysis on the free flowing text to glean deep insights on people's preferences and pain points.

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3 Data visualization

Another important step in decision-making collaboration is to visualize your data in a way that can communicate your findings and recommendations clearly and persuasively. Emerging technologies can help you create data visualizations that are more engaging, interactive, and immersive, using techniques such as augmented reality, virtual reality, or 3D modeling. For example, you can use tools like Microsoft HoloLens or Oculus Rift to create and display holograms or virtual environments that can illustrate your data. You can also use tools like Sketchfab or Blender to create and share 3D models that can represent your data. By using these technologies, you can improve your data visualization skills and impact.

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4 Data sharing

The final step in decision-making collaboration is to share your data with your stakeholders and solicit their feedback and input. Emerging technologies can help you share your data more easily and securely, using techniques such as blockchain, encryption, or cloud computing. For example, you can use tools like Ethereum or Hyperledger to create and manage decentralized databases that can store and verify your data. You can also use tools like Dropbox or Google Drive to encrypt and sync your data across different devices and platforms. By using these technologies, you can increase your data sharing efficiency and transparency.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Sudharsan D R

Managing Director at Protiviti | Expertise in Management Consulting, Project Leadership, Business Strategy & Financial Services Technology | IIM Trichy | LinkedIn Top Voice | CXO Incubator
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1. Artificial Intelligence (AI): The e-commerce giant Amazon uses AI and ML to make real-time decisions on pricing, logistics, sales, and even the recommendation of products. This collaborative decision-making between AI and human teams creates a more efficient system and vastly improves customer experience. 2. Blockchain: A logistics company called Maersk partnered with IBM to create TradeLens, a blockchain-powered solution for global supply chains. It provides real-time access to shipping data and shipping documents, including IoT and sensor data ranging from temperature control to container weight. This enhances decision-making across different entities like shippers, freight forwarders, port and terminal operators, and more.

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How can you use emerging tech to improve decision-making collaboration?

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2

3

4

5

1 Data collection

2 Data analysis

3 Data visualization

4 Data sharing

5 Here’s what else to consider

Decision-Making

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How can you use emerging tech to improve decision-making collaboration?

1

2

3

4

5

1 Data collection

2 Data analysis

3 Data visualization

4 Data sharing

5 Here’s what else to consider

Decision-Making

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