Do you know all there is to know about your assets?
We ask this because there is now an unprecedented explosion of data in the world of asset management. This data is a source of invaluable information that holds the key to optimising operations, but here’s the catch: This data remains largely untapped and underutilised.
Find out what asset management should be like in today’s digital era by downloading this brief.
The problem is that 99% of data collected from sensor-enabled assets goes unused, which might be one reason some 82% of asset failures occur randomly. Such failures tend to be costly as well, with downtime due to failure costing automakers, for instance, an average of USD $21,000 per minute, with false positives leading to as much as a 30% increase in excess maintenance costs.
Minimising asset failure and its associated costs, therefore, is more than enough reason for your organisation to invest in the right asset management solution that can:
- Integrate, validate, and standardise data from various sources.
- Establish clear data governance policies and procedures to ensure data quality and security.
- Provide complete visibility of assets and all pertinent information about each one.
- Utilise innovations like automation to optimise asset management and improve operational performance.
- Enable preventive and prescriptive maintenance strategies to extend the asset lifecycle.
That solution is IBM Maximo, which offers a range of solutions engineered for specific industries. IBM Maximo Oil and Gas, for instance, gives oil and gas companies the power to manage assets such as rigs, wells, pipelines, and fleets, while IBM Maximo Application Suite provides industry-best practices for intelligent asset management and a unified view throughout an energy company’s operations.
Specifically, IBM Maximo offers these critical benefits:
- Reduced downtime and costs.
- Embedded industry expertise.
- Unified asset management platform.
The benefits of IBM Maximo are undeniable. Consider:
- A power generation utility is now saving USD $4.5 million per year by reducing planned overhauls by 5% and eliminating forced outages also by 5%.
- A major US railroad also saved USD $5 million by better tracking labour to specific work.
- A passenger railroad was able to identify USD $18 million in obsolete or excess inventory.
- A consumer products firm increased warranty recovery by 50%.
- A fleet management company saved USD $9.5 million by meeting 100% availability.
So, if you want these same benefits for your company, click HERE to find out more about IBM Maximo.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)