Cloud Security & Compliance

In today’s volatile business environment, finance functions are no longer back-office cost centres—they have evolved into strategic value creators within the enterprise. The pressure from digitalisation, agile business models, artificial intelligence (AI), and shifting regulatory demands has accelerated the need for a finance transformation agenda that is responsive, resilient and forward-looking. Finance leaders must drive agility (rapid closing, scenario-planning), insight (real-time analytics, predictive forecasting) and resilience (working-capital optimisation, control frameworks) to ensure sustainable growth. At WNS (Holdings) Limited (“WNS”), we believe the finance function of the future sits at the heart of enterprise transformation. We help organisations transform their finance operations so they not only support business priorities but actively shape them. This article outlines how we deliver that impact — the broad service footprint, innovation fuelled by digital maturity, p...

In today’s fast-evolving financial landscape, Chief Financial Officers (CFOs) face increasing pressure to ensure accuracy, transparency, and compliance across every aspect of financial reporting. Yet, as finance operations scale and become data-heavy, even small anomalies can slip through the cracks — later emerging as costly audit risks. Artificial Intelligence (AI) is redefining how finance leaders detect and prevent such anomalies long before they reach auditors. By combining machine learning, predictive analytics, and automation, CFOs can transition from reactive issue resolution to proactive risk prevention. WNS, a globally recognized leader in Finance and Accounting (F&A) transformation , has been at the forefront of applying AI to strengthen audit readiness and financial accuracy. With certified finance experts, proven transformation experience, and recognition from leading industry analysts, WNS helps enterprises move towards autonomous accounting and data-driven decision-m...

Migrating from IBM Cognos Analytics to Looker is a strategic move that helps organizations modernize their business intelligence (BI) ecosystem, unlock deeper insights, and accelerate decision-making. However, one of the most common questions enterprises ask before initiating this transition is — how long does a Cognos to Looker migration take? The duration of migration depends on multiple factors, including the number of reports, data model complexity, integrations, and customization needs. At Squareshift , our certified Looker experts leverage proven migration frameworks to streamline the process — ensuring minimal disruption and measurable business outcomes. Typical Timeline for Cognos to Looker Migration While each project is unique, a standard Cognos-to-Looker migration usually takes 8 to 16 weeks, depending on scope and scale. Here’s a general breakdown of the process: Assessment and Planning (2–3 Weeks) Inventory of existing Cognos reports and dashboards Identification of redu...

Migrating from Tableau to Looker is more than just a switch in tools — it's a strategic transformation of your analytics layer. Many organizations ask: how long will it take? The short answer is: it depends. But with a proven partner like SquareShift , equipped with certified Looker experts and automated accelerators, the process can often be completed in a matter of weeks to a few months, depending on scale and complexity. In this article, we’ll explore: The typical migration timeline and stages Key factors that lengthen or shorten the schedule Real-world metrics and benefits (faster reporting, cost reduction, improved analytics) How SquareShift’s expertise and acceleration tools help compress timelines Some client success stories and credibility signals Typical Migration Timeline: What to Expect While every migration is unique, here’s a ballpark breakdown for medium to large enterprises: Phase Duration Estimate Objectives & Deliverables Phase 1: Discovery & Asse...