Business Intelligence Solutions
Empower your organization to share insights and drive better decisions with PurpleBox as your Business Intelligence (BI) partner. We will build your analytics platform, offering a flexible architecture, capable of scaling from a few users to tens of thousands, and from single tools to multiple interfaces.
Experiment with self-service, real-time analytics, and data-driven decision-making with operational analytics and business intelligence solutions built on AWS and other Cloud Providers.
Utilizing robust analytics tools like Quicksight, Redshift, Glue DataBrew, SageMaker Data Wrangler, and Athena on AWS, we provide insights into your business performance, emerging trends, and potential risks.
Our expert team crafts custom dashboards and visualizations, enabling stakeholders to explore and interact with data effortlessly, facilitating informed decision-making.
Key benefits include:
- Cloud deployment: flexible, fast, scalable, cost-effective, pay-as-you go unbeatable pricing.
- Real-time business intelligence: access up-to-the-minute insights to make informed decisions promptly.
- Increased user autonomy: empower users with the autonomy to explore and analyze data independently.
- Simplified, personalized, and dynamic information consumption: customize and personalize information consumption to suit individual preferences, ensuring dynamic and simplified data access and analysis.
Data Operations & Governance
Data-centric organizations prioritize data well-being and invest in automated data governance. PurpleBox accelerates this process, delivering results in weeks rather than months or years.
We collaborate with you to set data quality standards, implement data cataloging, and enhance data organization and secure access.
This provides greater data visibility and ensures appropriate usage. Furthermore, our solutions aid compliance with regulations like GDPR, HIPAA, and PCI DSS.
A modernized data architecture, strategy, and tools enable faster and more cost-effective data management.
Whether you’re setting up a data lake, lakehouse, data warehouse, or data mart, or modernizing an outdated ETL pipeline, our engineering experts are here to assist you.
Empower your business with modern analytics and valuable insights driving growth and success.
We design data lakes, lake houses, and big data pipelines to seamlessly ingest and process high-volume, high-velocity, and high-variety data.
Leveraging cutting-edge AWS tools like S3, Glue, Kinesis, EMR, and Redshift, we build robust, scalable data solutions optimized for performance, security, and cost-efficiency.
Data Science - Artificial Intelligence (AI) & Machine Learning (MLOps)
Utilize AI to automate processes, predict outcomes, and revolutionize business models.
AI represents a transformative shift in software development, enabling machines to learn, abstract, and apply knowledge. With the AWS cloud’s capability to train large neural networks and user-friendly tools like SageMaker, organizations of all sizes can leverage machine learning (ML) without significant upfront investments.
PurpleBox AI experts help you make informed decisions and gain a competitive advantage by applying cutting-edge ML techniques to your data.
Leveraging AWS, we deliver scalable and efficient AI solutions, accelerating your time to market and and setting your teams up for success.
Key benefits include:
- Competitive edge: Quickly create and operationalize ML models using AWS purpose-built AI services and tools like SageMaker, giving you a competitive advantage without the need for extensive development efforts.
- Valuable insights: ML algorithms analyze your data to provide valuable insights and predictions, empowering data-driven decision-making with precision and confidence.
- Purpose-built tooling: AWS offers a range of ML and data services tailored to various industries and use cases, including video/image processing, language processing, customer experience, business insights, DevOps, industrial AI, and healthcare AI, along with comprehensive MLOps toolkits.
- Seamless integration: AWS ML and MLOps services seamlessly integrate with other AWS and third-party services, allowing easy incorporation of ML into existing workflows and applications. You can also Bring Your Own Model to AWS, leveraging the extensive ecosystem of tools and techniques.