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“Bridging the OT-IT Gap - Two worlds converging in IIoT”

High cost and operational complexity hinders digital transformation for industries that rely heavily on physical assets - often utilizing closed and proprietary protocols for data extraction.

CHALLENGES IN ADDRESSING DIGITAL TRANSFORMATION PROJECTS

  • High cost of individual assets
  • Geographically dispersed multi-sites/devices
  • Different data protocols found. Vendors usually create lock-in by enforcing closed and proprietary formats.
  • Autonomous environments. Designed for independent and disconnected operation.
  • Mission-critical assets, strict security and compliance standards in place.
  • High cost of capturing data due to legacy assets and interoperability issues.
  • Asset obsolescence over time

OT-IT FRICTIONS

  • Design principles (security, mission-critical vs. flexibility)
  • Evolution over time (different innovation pace)
  • Lock-in strategies (proprietary systems vs. open source)
  • Autonomous operation
  • Concept of “real time”
  • Data sampling and quantity
  • Storage & analytics technology
  • Data collection ownership

MACHINE DATA

SOLUTION

MAKE CRITICAL ASSET DATA AVAILABLE FOR OT-IT CONVERGENCE
IN A COST-EFFECTIVE AND NON-INTRUSIVE WAY.


DATUMIZE DATA COLLECTOR (DDC)

 

DDC is a multi-platform and lightweight middleware used to capture highly valuable operational data that is trapped inside machines, devices and appliances from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access.


USE CASES

  • Advanced centralized monitoring by having one-stop metrics for business intelligence and anomaly detection.
  • Predictive maintenance using advanced AI models.
  • Sustainability or security enhancements using analytics.

MACHINE DATA

BENEFITS

01

ANALYTICAL BUSINESS DECISIONS
(Increment Revenue)

  • Add sophisticated analytical models, eg artificial intelligence (AI) to optimize operations
  • Optimize strategic and operational decision-making processes, and identify new revenue sources
  • Improve automation and efficiency

02

INCREASE VISIBILITY AND CONTROL
OVER DISTRIBUTED LOCATIONS

  • Move from local reporting to corporate KPIs
  • Strategic decisions based on timely, accurate and homogeneous information from all locations
  • Source of truth data (protect against tampering during the multi-level reporting process)

03

EXTEND ASSET LIFE
(Reduce CAPEX)

  • No need to upgrade assets (hardware and/or software) during digital transformation

04

OPTIMIZE MAINTENANCE
(Reduce OPEX)

  • Maintenance based on machine condition (anomalies) is preferred instead of time-based (scheduled) maintenance

CLIENT STORIES

BRIDGING THE OT/IT GAP

cepsa_logo

Founded in 1929, CEPSA was the first Spanish private oil company. With its headquarters located in Madrid (Spain), it is owned 100% by the company Mubadala Investment Company (IPIC investment fund) of the United Arab Emirates.

CEPSA is an integrated energy company that is present in all phases of the oil value chain: Exploration and Production of oil and gas, Refining, Transportation and Marketing of oil derivatives and natural gas.

It is precisely in the Refining part that Datumize started to add value to CEPSA. The company, which has been focused on the deployment of its digital transformation strategy since 2017, had identified as a key challenge for its success the ability to collect all the data generated in the plant. But they encountered technical difficulties and the high cost of accessing certain data owned by machine manufacturers and kept in silos of closed/proprietary systems.

CEPSA Digital Transformation leadership noticed that Datumize technology could be a simple, affordable and flexible alternative to collect data that they couldn’t gather with their current toolset. In 2018, a successful pilot project was carried out in one of its refining plants in Tenerife (Spain). Currently, the project has expanded into other areas of the company.