Workflow Integration Services

In today’s business environment, the finance function is undergoing a profound transformation. Traditional models anchored in manual processes, rigid systems and periodic reporting are no longer sufficient for the pace, complexity and expectation that CFOs face. Instead, finance transformation is about becoming agile, resilient, and data-driven — leveraging digital finance tools, artificial intelligence (AI) and automation to create not just cost efficiencies, but strategic insight and faster decision-making. Across industries, CFOs are being asked to do more with less: support rapid growth, navigate regulatory change, manage risk, and engage dynamically with the business. In this context, finance teams must evolve from being transaction-centric to becoming value-creators. That is where the modern themes of AI, intelligent automation and digital finance come into play. They provide the backbone for a finance organisation that is future-ready, responsive and embedded in the business str...

In today’s fast-paced business environment, Chief Financial Officers (CFOs) are expected to do much more than manage the books. They are strategic partners—helping organizations adapt, innovate, and grow with agility. However, legacy systems, siloed data, and slow decision-making often limit this potential. To overcome these barriers, finance leaders are increasingly turning to WNS’ Agile Target Operating Model (aTOM) — a future-ready framework that combines domain expertise, digital innovation, and analytics to create adaptive finance organizations. To learn more about how WNS enables global CFOs to modernize operations, explore our finance and accounting transformation services . This article explores how WNS’ aTOM empowers CFOs to accelerate transformation, achieve measurable business outcomes, and build agile enterprises ready for tomorrow’s challenges. What is WNS’ Agile Target Operating Model (aTOM)? WNS’ Agile Target Operating Model (aTOM) is a proven finance transformation ...

Migrating from IBM Cognos to Looker is a strategic move toward modern, cloud-native business intelligence (BI) . While the migration process itself ensures your data models and dashboards are successfully transitioned, the real success comes when your team can confidently use Looker to drive data-informed decisions. At Squareshift, we’ve helped multiple enterprises smoothly transition to Looker — from technical migration to team enablement — ensuring measurable results like faster reporting, 30–40% improved analytics efficiency, and 25% cost reduction in BI operations. 1. Start with Role-Based Looker Training Looker is designed for collaboration across departments. Your training strategy should be tailored to different user roles: Business Users: Focus on exploring dashboards, using filters, and building ad-hoc reports. Data Analysts: Train on LookML modeling, joins, and creating reusable data views. Admins and Developers: Cover permission settings, governance, and API integrations....

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...