At the heart of decision-making lies the ability to harness the power of data to tell compelling stories, uncover actionable insights, and drive meaningful change. We build beautifully crafted analytics solutions illustrating the art of turning data into knowledge.
Whether you’re looking to drive performance, monitor critical metrics, or solve unique business challenges, our expertise in creating and delivering insightful, visually appealing solutions will help you transform your data into a strategic asset.
We offer:
Why us? Our DSaaS services will give you access to a team with specialized skills, scalable solutions to match your changing needs, cost savings, faster time-to-market, and flexibility. And, if you want something out of the box, check out our ready-to-go app templates!
We design data analytics solutions from start to finish. We can deliver dynamic reports and dashboards that your users can interact with or static (paginated) reports that you can freely distribute. We can also create user—and role-based views, filtering, and distribution pipelines.
We create user-friendly apps professionally designed to match your brand. Our apps can be used in the cloud or integrated into your Intranet or Internet website. They are built with reactive principles and integrate multiple languages. We can deliver cloud-native solutions or on-prem deployments in virtual environments or containers.
Our data analytics solutions include cloud-native, hybrid, or server-based scripting to fetch, store, and consume data according to requirements. We thoroughly document prerequisites, requirements, architecture, data pipelines and flows to allow for ease of deployment, configuration, maintenance, and audits.
Power BI is one of the most popular self-service data analytics tools for cloud consumption. We can build solutions architectured for Power BI consumption and the Microsoft ecosystem in compliance with the strictest security requirements. We create advanced Power BI reports, paginated reports, dashboards, and apps.
We use a combination of R, Python, and Bash scripts to create elegant solutions for fetching, moving, storing, and refreshing your data in the backend. Whether in cloud-native or virtualized environments, we manage version control, scheduling, and shared locations with access management options to suit your organization’s needs.
We create reactive applications for cloud or server-based deployments for R-Shiny apps. With Quarto, we can also create dynamic documents for HTML, PDF, Word, or PowerPoint deliverables.
We analyze large datasets, identify patterns, and generate insights on open data and organizational data.
We develop and deploy models for specific business applications and use cases.
We assist with complex data science initiatives with multiple data sources and advanced analytics platforms.
We specialize in forensics use cases for data analysis, such as crime analytics, call records, and more.
We’ve created a few live demos you can explore and interact with. They were created using Open Data and publicly available resources.
While these datasets are not refreshed and intentionally limited in scope, they showcase how well-executed data analysis can help businesses and organizations identify opportunities, improve operations, and solve complex challenges.
Common use cases for our services and solutions are open data from public administrations, LEAs, and institutions, such as IoT, health, production, operations, performance, crime, forensics, call and voice records, marketing and sales.
All our deliverables are thoughtfully constructed to highlight the following:
You can see a quick tutorial in the video above.
Are you interested in ready-to-use reports? We gather open data and transform it into full-blown operational reports that you can customize for your needs.
Check our online storeTarget audience: Public administrators.
Scenarios: Resource spending, resource distribution among NYC departments, workforce requirements, salary competitiveness, salary variation based on experience level, and geographical distribution.
Data set: Current job postings from the City of New York’s official job site, including postings available to city employees and external postings available to the general public since 2013. Dataset format: JSON. Dataset attribution: Department of Citywide Administrative Services (DCAS).
Exclusions: Timelines and time calculations, lifecycle of job postings, outcomes.
Target audience: Vehicle owners and potential vehicle buyers.
Scenarios: Manufacturing defects, consumer impact, parts breakage, historical data and incident distribution, incident resolution, Pareto (80/20 rule), feature/defect comparisons by manufacturer and periods.
Data set: Recall information related to specific NHTSA campaigns since the 1960s. Dataset format: JSON. Dataset attribution: National Highway Traffic Safety Administration (NHTSA).
Exclusions: Details about the single recall, remediation steps, and resolution time.
Negative PID Inc. is a Canadian federal corporation.
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