Two years ago ENAP was facing three major challenges related to process data. We successfully address two of them by means of properly defining our PI infrastructure and processes and are currently working on a third one related to data accuracy. ENAP is also exploring new technologies for data centralization as we need to have visibility of our operations outside Chile and we need to securely exchange information with some key supliers. Challenge #1: How to achieve corporate visibility of plant real time data, product storage and movements. Answer: We brought all that information to the corporate private cloud making all necessary infrastructure adjustments (Update and expand PI Systems at existing sites and add a new server for Storage, Docks and other Logistics facilities). Challenge #2: How to ensure 100% of availability of the data coming from different sites al along Chile. Answer: work closely with each stake holders along the data flow (instrument and DCS specialists and local PI administrators) so they don’t disclose responsibilities on data availability but work collaboratively to achieve a common goal. The TICA organization is offering data users an internal contract with an SLA of 100% availability at their PI Servers. Challenge #3 (currently being worked): How to ensure that the same data generated at a site level is visualized at the corporate level. Data consistency. Answer: Data is being used in many levels within ENAP. Data comes with calibration errors, DCS errors (quantification), spreadsheets with local calculations are sent from low levels to upper levels Systems including corporate PI System, that data is susceptible of being manipulated, errors are introduced and conclusions are erroneously made. Data measured is different to what is being viewed at corporate level. We started using an end to end loop check form instrument to PI tag at the corporate cloud. We also use ISO/IEC17025 to include data uncertainty within calculations.