Workflow Integration Services

In today’s fast-paced digital economy, enterprises are under constant pressure to deliver faster, more accurate, and cost-efficient outcomes. Traditional manual processes, while effective to a point, are no longer enough to keep up with the sheer scale and complexity of modern business operations. This is where hyperautomation comes in—a next-generation approach that combines robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and analytics to automate not just tasks but entire end-to-end processes. At WNS-Vuram , we specialize in enabling enterprises to unlock the full potential of hyperautomation. With our proven migration experience, certified experts, and recognized leadership by clients and industry analysts , we’ve helped businesses across industries accelerate transformation, improve operational efficiency, and foster data-driven growth. You can explore more on our hyperautomation services page. In this article, we’ll break down five everyday ...

Introduction In a business world increasingly driven by data and AI, organizations struggle with fragmented systems, slow reporting, manual workflows, and lack of unified insights. Google AgentSpace is emerging as a transformative platform to tackle these challenges head-on. When paired with a trusted expert like Squareshift, certified in Looker and data migration, enterprises can unlock faster reporting, better analytics efficiency, lower costs, and centralized data management. In this article, we explore five everyday business problems AgentSpace is uniquely positioned to solve — with real benefits, measurable outcomes, and client trust stories. We also highlight Squareshift’s role in enabling these transformations using its domain expertise in Google Cloud , Looker, data engineering, and AI. What is Google AgentSpace (and why it matters) Google describes AgentSpace as “the launch point for enterprise-ready AI agents, helping increase employee productivity for complex tasks with one...

When your application starts attracting high volumes of users and handling massive amounts of data, ensuring fast, reliable, and scalable search becomes critical. That’s where an Elasticsearch consultant steps in. Their role is not just to deploy Elasticsearch but to design, optimize, and future-proof your search infrastructure so it can scale seamlessly with high traffic applications. Instead of firefighting performance bottlenecks, consultants help businesses stay ahead with robust architecture, efficient indexing strategies, and proactive monitoring. Why Scaling Matters for High-Traffic Applications High-traffic apps—like eCommerce platforms, SaaS products, fintech systems, or media websites—rely on real-time search and analytics. As user traffic spikes: Queries can slow down. Indexing delays affect real-time updates. Infrastructure costs spiral without proper optimization. System downtime becomes more likely. Without expert guidance, businesses often face slow search results, frus...

Migrating from Tableau to Looker can feel overwhelming at first. Tableau is a powerful visualization tool, but modern businesses are increasingly shifting to Looker for its cloud-native architecture, advanced data modeling ( LookML ), and seamless integration with Google Cloud. If you’re new to this migration process, the good news is that it doesn’t have to be complicated—provided you follow the right approach. In this guide, we’ll break down the essential steps to migrate dashboards effectively, highlight the mistakes to avoid, and show you how expert partners like Squareshift can make the journey smoother. Why Businesses Move from Tableau to Looker Before diving into the “how,” let’s quickly cover the “why.” Businesses are making the switch because: Centralized data modeling with LookML avoids duplication and inconsistencies. Scalable cloud architecture fits modern data stacks. Self-service analytics empowers teams without IT bottlenecks. Seamless embedding & integration makes ...

Thinking about moving from Tableau to Looker? You’re not alone. With Looker’s modern , cloud-native architecture and strong data modeling capabilities, many organizations are considering migration to unlock scalability and better integration with Google Cloud. But here’s the catch: a Tableau-to-Looker migration isn’t as simple as lift-and-shift. Hidden challenges often surface during the process — from rethinking data models to retraining teams — and ignoring them can slow down adoption or, worse, derail the migration. In this article, we’ll uncover these hidden challenges and show you how to solve them effectively. Plus, we’ll highlight how Squareshift can guide your migration journey with proven frameworks and hands-on expertise. Why Businesses Move from Tableau to Looker Before diving into the challenges, let’s quickly recap why enterprises choose Looker over Tableau: Cloud-native advantage: No on-premises deployment hassles, designed for scalability. Centralized data modeling: Loo...