Business Intelligence Services

In today’s data-driven business landscape, organizations are constantly seeking modern analytics platforms that can deliver real-time insights, centralized reporting, and improved decision-making capabilities. IBM Cognos Analytics has been a trusted reporting tool for decades, but as enterprises move toward cloud-based, scalable, and self-service analytics solutions, Looker has emerged as a leading choice. However, transitioning from Cognos to Looker comes with its own set of challenges that organizations must carefully navigate. At Squareshift, our team of certified Looker experts has guided numerous clients through this transformation, delivering measurable results such as faster reporting, improved analytics efficiency, and cost reduction. Common Challenges in Migrating from Cognos to Looker Switching from Cognos to Looker involves several technical and operational hurdles, including: 1. Data Model and Architecture Differences Cognos primarily relies on framework manager models, w...

In today’s fast-paced digital era, enterprises must continuously evolve or risk falling behind. One of the most powerful levers for transformation is hyperautomation — an integrated, intelligent approach that combines robotic process automation (RPA), low-code/no-code platforms, AI/ML, process mining, analytics, and more to automate end-to-end business operations. At Vuram , hyperautomation isn’t just a buzzword — it is our core differentiator and the strategic backbone of how we help companies scale, optimize, and innovate. In this article, I’ll walk you through the concrete benefits modern enterprises can realize via hyperautomation, illustrate Vuram’s unique strength and authority, and show how we’ve driven measurable gains across industries — in India and globally. What Is Hyperautomation — and Why It Matters To set context, hyperautomation extends traditional automation by layering on intelligence and orchestration. Instead of automating isolated tasks, hyperautomation rethinks a...

Migrating from a legacy search system to Elasticsearch can feel like a high-stakes operation—complex, risky, and resource-intensive. Yet, with the right guidance, it doesn’t have to be. Elasticsearch consultants bring expertise, proven frameworks, and hands-on support that ensure your migration is smooth, cost-efficient, and future-proof. Instead of struggling with outdated search technologies that slow down your business, hiring consultants ensures you not only migrate safely but also unlock Elasticsearch’s full potential—scalability, speed, and intelligent search capabilities. If you’re looking for experts, Squareshift’s Elasticsearch Consulting Services provide end-to-end solutions designed to simplify migration while minimizing risks. Why Businesses Struggle with Legacy Search Systems Many organizations continue to rely on outdated or homegrown search systems. These systems often: Struggle with scalability as data grows. Deliver slow or inaccurate search results. Lack real-time in...

Switching from Tableau to Looker is not just a technology shift—it’s a mindset shift. While Tableau thrives on drag-and-drop visualization flexibility, Looker is built on a modeling layer ( LookML ) that enforces governance, scalability, and consistent data definitions. For Tableau users, this means dashboard design needs to follow a slightly different playbook to achieve clarity, usability, and performance. If you’re moving your dashboards to Looker or simply want to sharpen your design skills, here are the key Looker dashboard design principles every Tableau user should know. 1. Prioritize Business Questions, Not Just Visuals In Tableau, it’s common to start with visuals and build stories from there. Looker flips the approach: dashboards should be designed around business questions and KPIs first. How this translates for Tableau users: Don’t just replicate the same charts—ask, “What decision will this dashboard drive?” Align tiles and filters with the workflow of decision-makers. Use...

Migrating from Tableau to Looker brings a fundamental shift for your analytics team—moving from a visualization-first tool to a data-modeling-first platform. While Tableau empowers teams with rich, interactive dashboards, Looker transforms how your organization defines, governs, and consumes data. This change impacts how analysts, engineers, and business users collaborate. But the big question is: What actually changes for your analytics team after migration? Let’s break it down. Key Shifts Your Analytics Team Will Experience When your business transitions from Tableau to Looker, here are the most noticeable changes your team will see: From dashboards to governed data models – Instead of building visuals first, your team starts with LookML (Looker’s modeling layer) to define metrics, dimensions, and relationships. Centralized definitions reduce conflicts – No more multiple versions of the same KPI across dashboards. Everyone uses the same governed definitions. Cloud-native collaborat...