In today’s economy, you expect your business to be taxed on its profits, its property, and its payroll. But there’s another, more insidious tax that most organizations pay without even realizing it—a hidden expense that drains resources, stifles innovation, and quietly sabotages your success. It’s called the Data Silo Tax. This is the cumulative cost your business pays every single day for operating with a fragmented, disconnected data environment. When each department—from finance and operations to sales and marketing—runs on its own island of information, the tax shows up in wasted payroll, flawed strategies, and missed opportunities. It is the
Picture this: It’s Monday morning, and you’re walking into a critical board meeting armed with what you believe are your company’s most important performance metrics. Five minutes into your presentation, your CFO interrupts with a completely different set of numbers for the same KPIs. Your VP of Sales chimes in with yet another figure. Suddenly, instead of discussing strategy, you’re debating which system has the “real” data. This is the frustrating reality in most organizations. You’re not suffering from a lack of data; you’re suffering from a lack of enterprise BI integration. When business intelligence systems and the data that
In the high-stakes world of enterprise analytics, choosing the wrong data platform can cost your organization millions in wasted resources and missed opportunities. As data volumes explode and AI transforms business operations, organizations face a critical question: build your analytics foundation on mature, data science-centric Databricks technology, or embrace Microsoft’s new integrated, user-friendly Fabric ecosystem? At QuickLaunch Analytics, we’ve worked extensively with both and witnessed firsthand what works, what doesn’t, and which platform is ready for enterprise-grade analytics. This comprehensive comparison will help you understand which company might better align with your enterprise data strategy in today’s rapidly evolving tech
Today, according to Allied Market Research on Supply Chain Management, only 6% of companies claim to have full visibility into their supply chain. Furthermore, their 2023 report claims that organizations can double profits by reducing supply chain costs. This indicates that most companies can stand to make a lot more money if they are able to increase transparency through better access to supply chain information and more efficient processes. At QuickLaunch Analytics, we’ve been helping manufacturing companies that run JD Edwards gain visibility into their supply chain processes since 2002 with our QuickLaunch for JDE solution. The latest QuickLaunch product
As we move towards the holiday season, let’s review what the Power BI team has been up to over the summer and early fall of 2023.
As we move towards the holiday season, let’s review what the Power BI team has been up to over the summer and early fall of 2021.
The Power BI team has been releasing new features in full force. Q2 has seen a steady stream of updates to all areas of the platform.
Power BI was named a leader in the Gartner magic quadrant again this year. (Be sure to check out our interactive analysis of the Magic quadrant here.) A major factor of Power BI’s success has been the dedication by Microsoft to continuously improve the Power BI product suite with updates that are demand-driven and consistent.
In this article we showcase an interactive version of the Gartner Magic Quadrant for Analytics and Business Intelligence (ABI) built using Microsoft’s Power BI platform. Using this interactive view of the data, you can see how vendors have trended over the past 11 years.
In the third part of our 2020 in Review series, we cover new features and enhancements to the product designed to help users who are responsible for administering the usage, deployment, and adoption of Power BI within their organizations.