Economize, Inc.’s Post

AWS QuickSight is revolutionizing data analytics with cloud-native, AI-powered, and scalable solutions. Find out how it surpasses traditional BI tools by providing quicker insights, cost efficiency, and seamless integration. Explore why QuickSight is the preferred tool for contemporary data-driven companies. #AWSQuickSight #DataAnalytics #BIcomparison https://lnkd.in/gJJu7Kq4

🚀 Discover the Power of QuickSight: A Flexible Alternative to PowerBI! 🚀 If your data is in AWS, it's time to consider QuickSight. This hidden gem offers seamless integration with AWS databases, user-friendly dashboards, and the innovative Generative BI for effortless chart creation. 🌟 Learn how QuickSight can transform your data analytics in the latest blog by our very own CTO, Tom Kerswill. He dives into its features, benefits, and how our expertise can help you leverage its full potential. Say goodbye to complex data warehouses and hello to smarter, faster decisions. 🔗 https://bit.ly/3wvToTy #DataAnalytics #QuickSight #AWS #DataScience #BusinessIntelligence #GenerativeBI

The core Matching Engine framework includes out-of-the-box integration with Azure Databricks for report development and delivery. https://lnkd.in/eFrn-AKt #databricks #reporting #integration #analytics

👀 Are you looking to leverage your data for strategic decision-making? 👉🏼 Check out our latest guide on the top data automation tools, how to choose the best one for your needs, and best practices for seamless implementation. In this article, we explain the benefits of: • Snowflake • Databricks • Matillion • Microsoft Power BI • Tableau • Sigma Computing • Microsoft Azure • Amazon Web Services (AWS) • Microsoft Fabric Don't let the opportunity to maximize your ROI slip away! Click here for more: https://hubs.li/Q02G0dF10 Authored by: Jacob McClendon #SVA #SVADataAnalyticsandVisualization #DataAutomation #BusinessInsights

🚀 Amazon QuickSight: The Business Intelligence Platform for the Future 🚀 📊 Introduction and Importance: Amazon QuickSight is a cloud-based Business Intelligence (BI) platform that enables businesses to gain valuable insights from their data. Its ease of use and power make it a crucial tool for making strategic decisions in the current environment. Its integration with the wide range of AWS services makes it a robust and scalable solution. 📈 Key Benefits: Quick and easy analysis: QuickSight makes it easy to create interactive dashboards and reports without the need for advanced technical knowledge. Intuitive visualization: Offers a wide variety of graphs and visualizations to understand complex data clearly and concisely. 📊 Integration with AWS: It integrates perfectly with other AWS services, allowing the extraction and analysis of data from different sources. Scalability: Adaptable to the needs of companies of any size, from startups to large corporations. ⚙️ Top Features: Data Exploration: Tools for data exploration and preparation. Creation of dashboards: Design of interactive control panels for the visualization of key metrics. Customized reports: Generation of reports adapted to the specific needs of each user. Robust security: Data protection with advanced security measures. Real-time collaboration: Enables collaboration between teams for data analysis. ✅ Advantages: Cost-effectiveness: QuickSight offers a cost-effective solution for data analysis. Flexibility: Adapts to different needs and workflows. Speed of implementation: Allows quick start-up to obtain results quickly. Constant Updates: QuickSight stays up to date with the latest trends and technologies. 💡 Use Cases: Sales analysis: Monitoring sales trends, identifying popular products and analyzing profitability. Marketing: Customer segmentation, campaign analysis and strategy optimization. Finance: Cost control, budget analysis and financial forecasting. Human Resources: Productivity analysis, talent identification and process optimization. Operations: Monitoring operational efficiency, identification of areas for improvement and process optimization. #QuickSight #BusinessIntelligence #DataAnalysis #AWS #DataVisualization #Analytics #BI #CloudComputing #Data #Business

I’ve just published a new article on VisualLabs Kft. blog about streamlining Power BI report refreshes within the ETL process. The idea is to automate the report updates so they sync with your data pipeline, ensuring you’re always working with up-to-date information. This approach minimizing the window between data availability and report updates.

Looker opens semantic layer via new SQL Interface and connectors for Tableau & others Looker’s new integration framework makes it easier to use metrics with SQL-based tools, and there are connectors to popular products including Tableau. Read mode on following blog post!

Thanks Szenci Máté for the detailed step-by-step guide on how to configure Data Factory to streamline Power BI data refreshes!

I’ve had similar data conversations with several Amazon Web Services (AWS) customers in similar situations over the last few weeks, so I thought I’d share some perspective from the trenches: Most customers need the benefits of reporting, dashboards, and business intelligence, and many end up with expensive tools that become difficult to maintain. Sometimes the use case is nuanced and complex enough that it’s tough to get away from operating a spaceship, but most customers just need a Camry: simple, reliable, cost-effective. ESG came out with a white paper earlier this year (link below) showing that QuickSight is 74% more cost effective than traditional BI solutions, and we find that it gets the job done for A LOT of customer use cases, especially paired with Glue and Athena. The complexity in the BI solution itself can be reduced a lot when a thoughtfully designed data lake and/or data warehouse are in place. The more hectic and cluttered your data foundation, the more backflips you’ll be doing to massage and prepare data. For bonus points, QuickSight also exposes an API that lets you build reports into your customer-facing applications, and using the same solution for internal and external purposes tends to reduce complexity quite a bit. If you spend a lot of time fighting with your BI solution, ask yourself: are you using something overly complicated for your use case? Do you feel confident in the setup of your data lake/warehouse/pipelines? https://lnkd.in/g9cvNpqC

Ever wished your Power BI reports could refresh automatically? 🚀 Check out this guide on using Azure Data Factory to streamline your data updates and save time! A new blog article from Szenci Máté https://lnkd.in/d8E8CqJN