Transform data into strategic decisions
P-LAB's Business Intelligence division, founded alongside the company itself, has always operated in this market, offering significant added value to businesses. It supports its clients in both the architectural design and implementation of even highly complex data warehouse systems, as well as in the front-end and data discovery component.
We introduce Artificial Intelligence as an advanced form of interaction with business synthesis systems, enabling natural language querying on smartphones, tablets, and all corporate platforms.
Market-leading technology partners
AnalyticsCreator is a powerful data management and automation platform designed to simplify the creation and maintenance of data warehouses and analytics solutions. It automates the entire Business Intelligence (BI) process, from data collection to final analysis.
Project Methodologies
A structured approach to ensure the success of every BI initiative
Project Management
For each project, P-LAB identifies a manager who ensures progress and adherence to the shared planning with the Client, from the initial collection of requirements and analysis of the AS-IS, supporting him from the functional and technical blueprint to the testing and cut-over phases, arriving together at a go-live within the scheduled timeframe.
Functional Analysis
P-LAB analysts, with the client's support, identify the key functional processes for the project and streamline them into documents that provide essential support for the entire technical part of the blueprint and for the development of an effective, reliable, and scalable solution.
System Support
P-LAB has the expertise to work alongside system engineers during product installation and tuning, as well as performance optimization.
Application Management
P-LAB, upon request by the client, guarantees the optimal functioning of the Business Intelligence system, with the Application Management service (on-site or remote and on-call services).
Technological Scenarios
P-LAB supports clients in defining the objectives and requirements of their Business Intelligence system, proposing comparative maps of market solutions and evaluating innovative architectures.
Feasibility studies
Design and implementation of advanced systems for the management, logging, and maintenance of complex, flexible data warehouse systems designed to accommodate future needs.
Data certification
Ensuring data quality and reliability through validation and certification processes.
DWH / Datamart Population
Implementation of ETL flows for the efficient population of corporate Data Warehouses and Datamarts.
Version management
Advanced versioning, size, and hierarchy management for architectures designed for time-based cycles.