FAQ
Frequently Asked Questions.
SPARTAKUS APM
Is Spartakus a CMMS? Do I still need a CMMS if I have Spartakus?
Spartakus is not a CMMS (computerized maintenance management system).
Spartakus is an APM (Asset Performance Management software).
CMMS and APM are maintenance-related systems, but differ in their approach. CMMS focuses on planning, work order management and spare parts, while APM aims to maximize asset performance by using advanced data, analytics and IoT to anticipate failures, optimize maintenance and extend equipment life. In short, CMMS focuses on day-to-day management, while APM takes a more strategic approach focused on optimizing long-term asset performance.
Why and how to integrate Spartakus APM with my CMMS?
Integrating an APM (Asset Performance Management) with a CMMS (computerized maintenance management system) is essential for comprehensive maintenance management. The CMMS handles the planning and execution of day-to-day tasks, while the APM uses advanced data to anticipate failures, optimize asset performance and extend asset life. Integration enables seamless communication between systems, guaranteeing informed decision-making. Information from the CMMS feeds into the APM, which in turn refines maintenance strategies. This synergy improves operational efficiency, reduces costs and maximizes asset availability and performance.
What connectors can I use with Spartakus APM?
Integrating connectors into an APM (Asset Performance Management) system is essential for optimizing the collection of data from a variety of sources. These connectors facilitate interoperability with systems such as IoT sensors, databases, maintenance software (CMMS), and other industrial applications. Thanks to these links, APM can aggregate heterogeneous information, offering a comprehensive view of asset health.
How to connect Spartakus with my oil analysis lab?
Oil analysis is a cornerstone of predictive maintenance, providing vital insights into the health of your machinery. Traditionally, oil analysis reports are provided by laboratories in formats such as PDFs or Excel files. While some labs now offer client portals for viewing results, integrating this data into a comprehensive Asset Performance Management (APM) system like Spartakus is a game-changer.
In the following article (link below), we will guide you through the steps involved in making this connection, highlighting its benefits and the timeline for deployment.
Why use Spartakus APM for vibration analysis reporting?
The use of Spartakus APM for vibration analysis is crucial, as it enables proactive monitoring of equipment condition. By collecting vibration data in real time, our APM identifies trends, pinpoints abnormal variations and anticipates potential failures. The reports generated provide in-depth insights, enabling predictive maintenance, reducing downtime and optimizing asset performance.
Data ownership and storage in Spartakus APM ?
The data stored in Spartakus APM remains the sole and exclusive property of the customer.
For more information, in the following article (link below), we aim to provide valuable insights for future users about the ownership of data in Spartakus. We’ll explore the implications and risks associated with the hypothetical scenario of Spartakus ceasing operations or a service contract ending, shedding light on essential considerations for users and stakeholders.
Can I ask for a pilot project/proof for the implementation of Spartakus APM?
Certainly, when it comes to exploring the possibilities of implementing the Spartakus Asset Performance software (APM), the option of conducting a pilot project/proof of concept is available.
How much does the Spartakus APM software cost?
Once the platform is fully implemented, the recurring monthly costs can range from $800 to $2,000 per month. The pricing for this plateform is subject to variation based on several key factors.
How much does the implementation of Spartakus APM software cost?
The cost of implementing Spartakus depends on various factors such as the type of technology being deployed, number of technologies and the quality of the data that needs to be input to the platform.