services
Amazon QuickSight SDP
Professionalize your data visualization on AWS
At BigCheese, we help organizations design, deploy and govern dashboards in Amazon QuickSight in a secure, scalable and automated way. This service is oriented to data, BI or IT teams that want to professionalize their visualization layer, ensuring access control, consistency between environments and compliance with data policies.
Solutions
We designed a comprehensive service to help you realize the full potential of Amazon QuickSight. From defining metrics to automating deployments, we cover every stage of the data visualization process.
Our approach combines best practices, security, governance and scalability, tailored to teams seeking to make data-driven decisions with greater accuracy, efficiency and control.
Dashboard Design and Construction
- Survey of KPIs, metrics and business requirements.
- Dataset modeling (SPICE vs. direct query).
- Construction of interactive, reusable and multi-user dashboards.
- Application of parameters, filters, controls and custom calculations.
Security and Access Control
- Implementation of Row-Level Security (RLS) to segment data by user or group.
- Application of Column-Level Security (CLS) to protect sensitive PII or metrics.
- Integration with IAM or SSO for federated access control.
- Definition of groups and access policies by role (analysts, readers, administrators).
Data Governance
- Definition of naming conventions for datasets, dashboards and analysis.
- Application of tags (env, owner, domain, pii) for traceability.
- Catalog of golden datasets for controlled and shared use.
- Optional integration with AWS Glue as a centralized catalog.
Automation and IC/DC
- Export and import of dashboards and assets via AWS CLI and JSON templates.
- Creation of automated pipelines for deployment between environments (dev, uat, prod).
- Handling of dependencies (datasources, RLS, groups) in the deployment pipeline.
- Versioning and rollback of dashboards from repository (Git).
We transform data into decisions. Dashboards into strategy. And visualization into competitive advantage.
AMAZON QuickSight
Our process
Think big, start with the basics. Our process is designed to scale with you: we start with a clear diagnosis, prototype quickly and build on solid foundations. Each step is designed to help you gain autonomy, security and speed in visualizing your data with Amazon QuickSight.
Kickoff & discovery
We analyze your data sources, define key KPIs and understand user profiles to align expectations.
2. Data model design
We structure optimized datasets for QuickSight visualization (SPICE or direct queries), defining relationships, hierarchies and granularities.
3. Initial prototype
We create a first functional dashboard that validates the model logic, key visuals and expected user experience.
4. Full implementation
We develop final dashboards, integrate security (RLS, CLS), access control, and ensure consistency between environments.
5. Automation and IC/DC
We set up deployment pipelines, reusable templates and asset versioning with AWS CLI, Git and good governance practices.
6. Handoff & evolution
We train your team, deliver documentation and leave everything ready to scale. We can also accompany you in future evolutions.
Business cases
Every organization faces different challenges when it comes to visualizing their data effectively.
At BigCheese, we adapt our Amazon QuickSight solutions to different contexts and industries, always prioritizing business impact.
These cases show how a well-executed visualization strategy can accelerate decisions, improve security and scale without friction.
Secure segmentation in banking
A financial institution needed to share dashboards with multiple areas without compromising data confidentiality. We implemented Row-Level and Column-Level Security, along with integration with their corporate SSO. The result: controlled and secure access to information, aligned to the profiles of each team.
E-commerce with real-time dashboards
An e-commerce platform needed to monitor sales, campaigns and user behavior in real time. We modeled datasets connected by Direct Query and SPICE, with highly interactive dashboards. In addition, we automated deployment between environments to iterate faster with the BI team.
Data governance in professional services
A service company was looking to organize its multiple dashboards and data sources. We standardized naming conventions, applied traceability tags, created a curated dataset catalog and enabled governance through integration with AWS Glue.
Visualization on data lake in record time
A healthcare organization needed to visualize information from their data lake for multiple operational units. We designed dashboards in QuickSight on Athena and S3, with federated access and unified metrics. They went from manual Excel reports to automated reports in less than 3 weeks.
Scalability for distributed teams
A corporate group with offices in several countries required replicable and centrally manageable dashboards. We automated their QuickSight CI/CD, versioned each asset and facilitated evolutionary maintenance from a Git repository, achieving consistency and control on a large scale.
From pretty dashboards to smart decisions: every case proves that when data looks good, business runs better.
FAQS
Quick answers to your questions
1. What exactly does the QuickSight SDP service include?
Includes dashboard design, security implementation, governance, automation and training for your team, with the option of evolutionary support.
What is the difference between SPICE and Direct Query?
SPICE is an in-memory engine that improves the performance of dashboards with pre-loaded data. Direct Query queries real-time data from the source.
Can I integrate QuickSight with my organization’s SSO?
Yes, we integrate QuickSight with SSO and IAM solutions to ensure centralized authentication and authorization.
4. Can I apply access controls per user or group?
Yes, we implement Row-Level Security (RLS) and Column-Level Security (CLS) to restrict information based on user profile.
How scalable is this solution?
QuickSight allows scaling dashboards to thousands of users, with automated management of environments, versions and access.
6. Can dashboards be integrated with other AWS services?
Yes, QuickSight can integrate with Redshift, S3, Athena, Glue, among others, as well as compatible external sources.
7. Can the deployment of dashboards between environments be automated?
Yes, we set up CI/CD pipelines with tools like AWS CLI and Git to facilitate promotion between dev, uat and prod.
8. Do I receive training for further development internally?
Yes, we deliver documentation, perform technical handoff and train your team to ensure autonomy.
9. How long does a typical implementation take?
It depends on the scope, but a first functional version can be ready in a few weeks, and scale progressively.
10. Is BigCheese certified by AWS for this service?
Yes, we are an AWS Premier Partner and officially validated by the Service Delivery Program for Amazon QuickSight.
Customers
They trust us
