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Business intelligence and data visualization that turns raw data into executive decisions.

We design and build BI solutions that connect disparate data sources into unified dashboards and reports. Our BI engineering goes beyond chart-building — we architect data pipelines, design data models, and build interactive visualizations that enable drill-down analysis from portfolio level to individual transactions.
Inventory all data sources — databases, APIs, flat files, SaaS platforms — and assess data quality, freshness, and access patterns.
Design dimensional data model optimized for analytical queries. Star/snowflake schema design with clear fact and dimension tables.
Build ETL/ELT pipelines that extract, transform, and load data on schedule with error handling and data quality checks.
Design interactive dashboards with drill-down navigation, filters, and role-based views aligned to executive decision-making.
User acceptance testing with actual stakeholders. Training sessions for dashboard consumers and report authors.
Production deployment with query optimization, caching strategy, and automated refresh scheduling.
Optimized dimensional data model with documentation of all tables, relationships, and business logic.
Automated data pipelines with scheduling, error handling, data quality validation, and audit logging.
Production dashboards with drill-down, filters, and role-based access deployed to your BI platform.
Automated report generation and distribution via email, Slack, or embedded portal.
Complete documentation of all metrics, calculations, data sources, and refresh schedules.
Enterprise media and content teams face a familiar problem at scale: terabytes of growing archival media, expensive on-premises storage, slow ingest workflows, and no unified way to browse, preview, or retrieve content without moving full-resolution files around. Storage costs climb linearly with content volume. Retrieval requires IT tickets. Previews require downloading full-resolution masters. And security controls on traditional NAS / file-share deployments rarely match the expectations of modern compliance frameworks. The team needed a cloud-native solution that could: accept large file uploads reliably even over unstable connections; generate lightweight browse proxies automatically so users could preview content without downloading masters; deliver files to end users with fine-grained access control and time-limited URLs; optimize storage economics automatically by moving infrequently-accessed content to cheaper storage tiers; and maintain a complete audit trail for compliance and operational visibility. The constraint: no credentials in pipeline code, no secrets in configuration files, and every action - upload, access, download, rename, move - logged for audit.
A Bangladesh financial institution needed to predict loan defaults before they happened and flag high-risk accounts across a portfolio of 22,000+ loans spanning 14 branches.
Catalyzr is a SaaS talent optimization platform that uses cognitive science to quantify a person's potential for success for any role in a company. They needed an exclusive development partner to translate business requirements into a production-grade platform — from architecture design and database schema through frontend, backend, unit testing, cloud deployment, and ongoing support. Key requirements included reusable component architecture, custom integration with the TAO open-source e-testing platform via LTI, ad-hoc reporting for business users, and a highly secured multi-tenant environment.
Whether you’re modernizing legacy systems, building a new product, or need senior engineering muscle — we’re ready.
hello@periscopelabs.io · +880 9611 656808 · +880 1626 934015 · +1 646 267 9820