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    Business Intelligence & Generative BI on AWS | Applying

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    Applying Consulting implements Amazon QuickSight dashboards and activates Amazon Q's Generative BI capabilities — enabling business users to ask questions about their data in natural language, receive AI-generated executive summaries, and discover insights without depending on analysts or SQL knowledge.

    Overview

    Applying Consulting is an AWS Advanced Partner delivering Business Intelligence solutions on Amazon QuickSight — from traditional interactive dashboards to full Generative BI with Amazon Q, transforming how business teams interact with their data.

    QuickSight is no longer just dashboards. With Amazon Q integrated, it becomes an AI-powered BI assistant that fundamentally changes the relationship between business users and their data.

    Traditional BI (QuickSight):

    • Connection to data sources (Redshift, Athena, RDS, S3)
    • Dimensional data modeling
    • Interactive dashboard design and implementation
    • Automated report scheduling
    • Self-service BI for business teams
    • Duration: 2–6 weeks per dashboard set

    Generative BI (Amazon Q in QuickSight):

    • Natural language Q&A: business users ask questions in Spanish about their data without SQL or BI knowledge. Example: "Which products had the highest margin last quarter?" Amazon Q interprets the question and returns answers with visualizations.
    • Executive summaries with AI: one click generates a natural language summary of dashboard key findings — trends, anomalies, relevant changes. Executives receive conclusions, not charts to interpret.
    • Data Stories: AI-generated visual narratives. Users describe what they want to communicate and Amazon Q creates a presentation with data, charts, and explanatory text.
    • Dashboard creation with AI: analysts describe what they want to see in natural language and Amazon Q generates visualizations, calculations, and layouts — reducing dashboard creation from hours to minutes.
    • Agentic BI: Amazon Q acts as an autonomous agent that proactively discovers insights, identifies trends, detects anomalies, and proposes actions — without the user needing to ask the right questions first.

    Business impact: Faster, better-informed decisions with direct impact on results. Elimination of manual reports saves hours per person. Business users get answers without depending on analysts or data teams.

    This service relates to Amazon QuickSight (Enterprise Edition), Amazon Q in QuickSight, Amazon Athena, Amazon Redshift, Amazon S3, AWS Glue, and Amazon Bedrock.

    Proven with SIS Colombia and Gerente de Negocios.

    Highlights

    • Amazon Q in QuickSight delivers Generative BI: business users ask questions about their data in natural language, receive AI-generated executive summaries, and get proactive insights from an autonomous BI agent — no SQL, no analyst dependency required.
    • Two engagement levels: Traditional BI (interactive QuickSight dashboards connected to Redshift, Athena, RDS, S3) and Generative BI (Amazon Q activation with Q&A, executive summaries, Data Stories, and Agentic BI). Start with dashboards, evolve to AI-powered analytics.
    • QuickSight is no longer just dashboards — it is an AI assistant that answers what happened, why it happened, and what you should do about it. Applying Consulting implements both levels and trains your business team to use Generative BI effectively.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Applying Consulting provides design, implementation, and user enablement support throughout the BI engagement.

    Support channels:

    Support scope: Buyers receive a data readiness assessment, KPI and dashboard requirements workshop, QuickSight implementation, Amazon Q Topics configuration for Generative BI, user role setup (Author Pro, Reader Pro), and business user training on AI-powered analytics. Duration: 2–6 weeks for traditional BI, 2–4 additional weeks for Generative BI activation.