AI & Machine Learning Operationalization (MLOps) Software
Organisations today are producing more data than ever. But for many, this data is outpacing their analytical capacity. PI Data Analytics is part of the Comprara group of companies, and we provide Big Data, Machine Learning and Decision Automation Systems to inform strategic data-driven decision making. With over 20 years in analysing procurement spend, PI has the track-record, expertise, and inbuilt algorithms to deliver clean data to you, quickly. Want to analyse your spend? We can visualise your spend in a week, analyse it in two and categorise it in under a month. Our embedded intelligence and data visualisation technology automatically and continuously drives cost savings, operational efficiencies, and revenue growth. > DATA CLEANSING & CATEGORISATION < Strategic data-driven decision making relies on quality data and accurate categorisation schema. PI leverages machine learning techniques, extensive rulesets, and our database of categorised data to clean and categorise data, unlocking its true value. > DATA VISUALISATION & INSIGHTS < PI has a collection of dashboard suites that have been developed to turn data into insights. These dashboards are designed for non-technical users to quickly, easily, and effectively extract the value from data, allowing them to focus on realising benefits to your organisation. > BENCHMARKING < Most organisations simply don’t know how their supply chain is performing in the marketplace. Gain access to independent benchmarking across a range of categories, processes, and functions, allowing you to measure your performance, identify the areas that you are achieving savings in and where further savings opportunities exist. > REVERSE E-AUCTIONS < Reverse auctions are a tool to reduce costs, but responsible procurement professionals know that it is a tool that is best used to forge lasting relationships. Ourexperienced team will help you design and implement reverse e-auctions so you gain all the benefits without the pitfalls.
- Revenue
- $990K
- Customers
- -
- Year founded
- 1983
- Funding
- -
- Team size
- 9
- Location
- Australia
