Every Business has multiple correlated day-to-day activities, that makes it challenging to capture data and correlate KPIs and Metrics from different sources. Incoherent data increases the possibility of having false positives from your data. So, here comes a tool Like Microsoft Power BI, which easily
As a Marketer, we know that attention span is usually 8 seconds. Still, We rely on PowerPoints and Excel sheets for reporting. What’s the most frustrating thing about creating a PowerPoint presentation, spending hours formatting and writing insights, only for your boss or client to
Power BI is Microsoft’s interactive Data Visualization and Analytics tool for Business Intelligence (BI) that is sufficient to serve the Purpose of Visual Dashboards for any business. Today I am going to list out Top Five Features of Power BI useful to Modern Business. Introduction
Data Science and Statistics are complementary of each other. In 1977, The IASC (International Association For Statistical Computing) was formed. The main aim of this association was to link statistical methods, computer technology and the knowledge of domain experts in order to covert data into information
AI based Insights in Power BI The Power BI team has been working tirelessly to integrate AI capabilities into traditional BI scenarios. Because Power BI is constantly evolving, it’s easy to miss, or be unaware of, specific features. There are various AI and ML capabilities
Power BI is a business analytics solution that enables business users to connect, model and explore their data with visual reports. The reports can also be shared across the organization and embedded in website or mobile app.
Problem Statement Publishing Power BI reports with Python visuals Possible Solutions Courtesy of Blog: https://powerbi.microsoft.com/en-us/blog/python-visualizations-in-power-bi-service/ With our February update of Power BI, you can now share, publish and view Python visuals in your reports and dashboards. This update extends the support for Python in the
Problem Statement Why Manufacturing companies need Analytics Possible Solutions The top three areas where analytics can improve manufacturing performance. Better forecasts of product demand and production, Understanding plant performance across multiple metrics and Providing faster service and support to customers Analytics-driven order management drives customer loyalty Organizations can use predictive analytics to redesign
