Cloud Migration Services

In the world of digital transformation, “hyperautomation” is often tossed around in boardrooms, conferences, and webinars as the latest buzzword. But at WNS-Vuram, we see it differently: it’s not marketing flair, it’s a real game-changer for enterprises aiming to scale intelligent operations, drive efficiency, and unlock measurable ROI. In this article, we’ll unpack why hyperautomation is far more than hype — how WNS-Vuram helps make it real, and where we’ve delivered quantifiable impact across sectors, globally and in India. From Hype to Real: What Is Hyperautomation? At its core, hyperautomation is the orchestration of multiple automation technologies — RPA (Robotic Process Automation), low-code/no-code platforms, intelligent document processing (IDP), process mining , analytics, AI/machine learning, and integration layers — to automate not just tasks, but entire end-to-end business processes. Unlike traditional automation that addresses isolated tasks, hyperautomation builds a sea...

In today’s data-driven era, many organizations are looking to unify search, AI agents, and analytics under one secure, performant platform. Google AgentSpace offers enterprises a powerful way to unify knowledge, surface insights, and automate workflows. But migrating legacy systems, dispersed data, and disconnected analytics tools can be complex—and that’s where SquareShift steps in as a trusted partner. As an authorized Google AgentSpace partner, SquareShift brings certified Looker expertise, proven migration experience, and deep domain knowledge in enterprise analytics and AI. Below, we explore how SquareShift enables smooth transitions to AgentSpace, with real-world benefits like faster reporting, cost reduction, centralized data management, and more. Why Businesses Are Adopting Google AgentSpace Before diving into SquareShift’s role, it’s helpful to review what AgentSpace offers: Unified enterprise search + AI across 100+ applications (Salesforce, Jira, Confluence, SharePoint, etc...

When businesses face sluggish search speeds in Elasticsearch , consultants step in to fine-tune performance, ensuring queries run faster and deliver accurate results at scale. Elasticsearch consultants bring specialized knowledge in cluster design, indexing strategies, and query optimization—helping organizations cut down response times, reduce costs, and maximize search efficiency. Instead of struggling with trial-and-error fixes, businesses can rely on expert-driven solutions for high-performing search systems. Why Faster Query Performance Matters Slow Elasticsearch queries can impact both user experience and business performance. For example: E-commerce sites risk losing customers when product searches take too long. Enterprises struggle with delayed insights if analytics queries are not optimized. Media platforms need real-time responses to handle high traffic loads. Faster query performance leads to: Improved customer satisfaction with instant results. Increased system scalability...

Rebuilding dashboards from Tableau to Looker can feel exciting—but it’s also a delicate process where small mistakes can derail user adoption and undermine insights. The key to success is not just “migrating” dashboards but reimagining them for Looker’s unique data model, visualization philosophy, and self-service approach. In this article, we’ll explore the most common mistakes businesses make during this transition—and how to avoid them. Plus, we’ll look at how expert partners like Squareshift can help you rebuild dashboards the right way. Common Mistakes to Avoid When Moving from Tableau to Looker Here are the top pitfalls teams encounter during migration: 1. Directly Replicating Tableau Dashboards Mistake: Many teams try to create a “pixel-perfect” copy of Tableau dashboards in Looker. This often fails because Tableau and Looker operate on fundamentally different principles—Tableau is visualization-first, while Looker is model-first. Fix: Focus on use cases and business question...

Migrating from Tableau to Looker is not just a tool switch—it’s a strategic shift in how your organization handles analytics, data governance, and decision-making. The biggest challenge isn’t the migration itself, but preparing your data and team to ensure the move is seamless. So, how can you prepare both your data foundation and your people for success? Let’s break it down. First Things First: Why Preparation Matters Before diving into the “how,” it’s worth asking why preparation is so critical. Data readiness ensures you don’t run into broken dashboards, mismatched KPIs, or inconsistent reporting post-migration. Team readiness ensures your analysts and business users can quickly adapt to Looker’s modeling language ( LookML ) and self-service capabilities. Strategic readiness ensures the migration aligns with long-term goals like governance, scalability, and ROI. Without preparation, you risk adoption challenges, reporting delays, and wasted investment. Step 1: Audit and Clean Your ...