2025 Supply Chain Challenges – Why Data Analytics is Now the Lifeline of Global Supply Chains
This week, headlines around the world told a familiar story—supply chains under stress. From extreme weather across Europe impacting freight routes to Asia’s port congestion flaring up again, it’s clearer than ever: companies that can see, understand, and act on their supply chain data in real time are the ones staying ahead.
How DataKITE Supplier Scorecards Can Supercharge Your Supply Chain in 2024
In the fast-paced world of business, a smooth-running supply chain is the backbone of success. But like any complex system, it’s only as strong as its weakest link. That’s where DataKITE supplier scorecards come in – a powerful tool that helps you identify, track, and optimize the performance of your suppliers.
How DataKITE and Power BI can help identify procurement cost savings
DataKITE is a business intelligence (BI) tool that can help your procurement department to improve efficiency, reduce costs, and make better decisions. DataKITE Power BI can be used to collect, analyze, and visualise data from a variety of sources, including i2B or any other procurement systems, e-catalogs, and supplier websites. This data can then be used to create reports and dashboards that provide insights into procurement performance.
How DataKITE and Power BI Can Help Your Procurement Department
DataKITE is a business intelligence (BI) tool that can help your procurement department to improve efficiency, reduce costs, and make better decisions. DataKITE Power BI can be used to collect, analyze, and visualise data from a variety of sources, including i2B or any other procurement systems, e-catalogs, and supplier websites. This data can then be used to create reports and dashboards that provide insights into procurement performance.
DataKITE & Microsoft Power BI and AI
How DataKITE Power BI Uses AI to Enhance Data Analysis
DataKITE and Microsoft Power BI is a powerful business intelligence (BI) platform that helps users analyze data and create interactive reports. In recent years, Microsoft has been adding AI capabilities to Power BI to make it even more powerful and user-friendly.
Here are some of the ways that DataKITE and Power BI uses AI:
- AI Insights: This feature uses machine learning to help users identify patterns and trends in their data. For example, you can use AI Insights to identify the key drivers of sales or to find anomalies in your data.
- AutoML: This feature automatically trains machine learning models on your data. This can save you a lot of time and effort, and it can help you create more accurate and predictive models.
- Natural language processing: This feature allows you to interact with Power BI using natural language. For example, you can ask Power BI questions about your data, and it will generate reports and visualizations in response.
- Generative AI: This feature allows Power BI to generate new data based on your existing data. This can be used to create synthetic data for testing purposes, or to generate new insights from your data.
These are just a few of the ways that Power BI uses AI to enhance data analysis. As AI technology continues to develop, we can expect to see even more powerful and innovative AI features in Power BI in the future.
The Benefits of DataKITE Power BI SaaS vs Microsoft Power BI Licenses
Power BI is a powerful business intelligence (BI) tool that can help organizations of all sizes to make better decisions based on data. Power BI can be used to collect, analyze, and visualize data from a variety of sources, and it offers a wide range of features and functionality.
There are two main ways to deploy Power BI: as a software as a service (SaaS) solution or as a licensed solution. DataKITE Power BI SaaS solutions are hosted and managed by DataKITE using Microsoft embedded technologies on Azure, while licensed solutions are installed and managed by Microsoft licences, typically in-house.
