OUR Solution:
Our four steps ANDECON Model for taking sound investment decisions:
1. Analyze the current state of the market.
2. Determine the risk profile and set an investing goal.
3. Decide on the best investment niche.
4. Conduct risk assessments and keep an eye on investments
1
With the use of data from Research Nester, our client turned this knowledge into a transformation road map. To lower the maintenance costs, the use of sensors, information retrieval, model creation and upkeep, and maintenance procedures were suggested.
2
To assist our client, the team of experts provided cutting-edge data, research, and analytics, looked for holes in the marketplace, and matched clients' market expectations. To foresee equipment failures and malfunctions IoT-enabled service employs asset sensors were used asset sensors for continuous condition monitoring and predictive analytics.
3
Our investment professionals routinely monitored market growth and decline to aid our customers in making wise, informed, yet adaptable investment decisions. Additionally, the option to spend more on equipment repairs to lengthen their life was advised to function more efficiently. This will also have the advantages of lowering repair costs and lowering the amount of power used.
4
IoT-based predictive maintenance was employed to process massive quantities of data and run complex algorithms, save maintenance costs, enhance asset utilization, lengthen asset life, increase field staff productivity, and improve safety and compliance. It decreases expenses by 12%, improves uptime by 9%, lowers risks related to safety, health, the environment, and quality by 14%, and increases the useful life of an aging asset by 20%.
5
Based on the company profiles, a thorough analysis of the product portfolio and company profile was conducted. It was advised to the business to conduct a retrospective analysis of previously discovered production failures to identify the proper failure modes.
6
Sound investments were crucial for meeting the demand in the worldwide market for predictive maintenance, which also made the right price model selection and market analysis necessary. The company wanted to enhance profits while lowering total financial risk. Going further, our client was able to find possibilities to increase the investment by 30% over three years as a consequence.