SquareShift Blog

SquareShift data and AI blog: building AI and modern data systems

The SquareShift data and AI blog is written by the SquareShift team. It covers AI agents, analytics and BI, search, cloud data, and engineering.

Browse the SquareShift blog below. Read our Looker blog posts for BI topics and Elasticsearch blog posts for search topics.

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All data and AI articles

Each article shows its topic. Topics include Looker and BI, Google Cloud and BigQuery, and AI agents and LLM apps.

Showing 1–12 of 192 articles · Page 1 of 16

Google Cloud and BigQueryEvaluate Looker as an Enterprise BI InvestmentAssess Looker investment value. Review pricing, ROI, hidden costs, and decision criteria.Looker and BIBI Migration Failures: Causes and Prevention StrategiesOrganizations migrating from data silos to a governed source of truth face hidden complexities that cause project failure. This article examines key challenges, including logic gaps and low user adoption. It provides a roadmap to ensure a scalable transition to modern platforms such as Looker.Looker and BIImplementing Conversational BI in Looker: A Step-by-Step FrameworkA six-step method for implementing Conversational BI in Looker. This framework prioritizes semantic modeling, governance, and user adoption.Looker and BIAccelerate Business Data Access: Natural Language Query in LookerExplore how Natural Language Query (NLQ) in Looker enables business users to retrieve accurate data via plain language questions. Learn how SquareShift implements enterprise conversational BI by strengthening the LookML foundation and semantic layer.Looker and BIDefine conversational analyticsSquareShift enables conversational analytics. AI natural language queries and BI tools provide real-time insights for faster decision-making.Looker and BIConversational Analytics Tools Compared: Looker Governance AdvantageReview top conversational analytics tools for 2026. Looker provides a governed semantic layer, embedded Slack analytics, and AI features, including the Visualization Assistant and MCP Server.Looker and BIConversational Analytics in Looker: Cross-Industry Use CasesExamine natural language query use cases in Looker conversational analytics for Banking, Retail, and SaaS.Looker and BIConversational Analytics in Looker: Accelerating Business InsightsLearn how conversational analytics in Looker enables business users to access AI-driven insights. This article covers faster decision-making and secure, governed data access.Looker and BIAI-Driven Analytics in Looker: Conversational Access to DataReview how Looker conversational AI enables business users to query governed data and generate instant insights.AI agents and LLM appsConversational Analytics in Looker: Architecture, Governance, and AdoptionExamine conversational analytics in Looker, including architecture, governance, data agents, use cases, and adoption requirements.Looker and BIUse Looker Studio Templates to Accelerate Dashboard DevelopmentImplement Looker Studio templates to reduce build time. Replace data sources, customize visual elements, and standardize report design.Looker and BIPeriod-over-Period Analysis in Looker: Compare Metrics Across Time (YoY, MoM, QoQ)Use Period-over-Period analysis in Looker to compare metrics across time. Build YoY, MoM, and QoQ measures natively, without manual calculations.