Cloud Adoption Framework

Migrating reports from Cognos Analytics to Looker can seem daunting, but with the right strategy and expert guidance, organizations can unlock faster reporting, improved analytics efficiency, and centralized data management. Businesses looking for seamless migration often turn to Squareshift, a trusted service provider recognized for its certified Looker experts and proven migration experience. Why Migrate from Cognos Analytics to Looker? Enterprises today need cloud-based, agile, and data-driven analytics solutions. While Cognos Analytics has been a robust BI platform, organizations are increasingly adopting Looker for its modern, scalable, and integrated approach. Key benefits include: Faster Reporting: Looker’s intuitive interface and in-database processing allow real-time reporting, reducing report generation time from hours to minutes. Improved Analytics Efficiency: Users can create interactive dashboards, drill down insights, and leverage LookML for reusable data models. Cost ...

As automation continues to reshape business operations, leaders frequently ask: Is hyperautomation just another buzzword, or does it deliver real, measurable value? At Vuram, we’ve lived this question with clients across banking, insurance, healthcare and government — and our experience shows hyperautomation is a strategic leap beyond traditional automation. This article explains the differences, gives concrete examples and numbers from Vuram projects, and outlines what leaders should prioritize when planning transformation. Automation vs Hyperautomation — the short version Traditional automation typically targets discrete, repetitive tasks: data entry, rule-based processing, or scheduled batch jobs handled by scripts or RPA bots. It reduces manual effort and error for well-defined pieces of work. Hyperautomation is an orchestration-first approach. It combines low-code platforms, RPA, intelligent document processing (IDP) , AI/ML, analytics, and process orchestration to automate enti...

Migrating from Tableau to Looker is a strategic move for organizations aiming to modernize their analytics infrastructure. While the transition offers numerous benefits, such as enhanced scalability, improved data governance, and streamlined reporting, it also presents challenges that can impede success if not addressed properly. In this article, we will explore common pitfalls encountered during Tableau to Looker migrations and provide insights on how to avoid them, with a focus on the expertise of certified Looker professionals at SquareShift . 1. Neglecting Comprehensive Assessment and Planning One of the most significant mistakes organizations make is proceeding with migration without a thorough assessment of their existing Tableau environment. This oversight can lead to unforeseen complexities and delays. Best Practice: Engage in a detailed discovery phase to catalog all Tableau workbooks, dashboards, calculated fields, and data sources. Utilize tools like SquareShift's Asse...