Digital transformation involves more than selecting technology. Technology is evolving faster than ever before, and the latest innovations may make your newly implemented solutions outdated.
Again, you can't wait because it's a never-ending journey of Digital Excellence, and the future you are planning may already become a past for your competitors.
One of the key challenges organizations face is the need to optimize their digital assets for maximum efficiency and effectiveness.
Manufacturing Data Analytics is the process of collecting, analyzing, and interpreting data from manufacturing operations to improve efficiency, quality, and decision-making.
It involves using data from machines, processes, and systems to identify patterns, optimize production, reduce downtime, and enhance overall performance.
By leveraging tools like predictive analytics, AI, and IoT, manufacturing analytics helps companies make data-driven decisions, increase productivity, and achieve continuous improvement across the production cycle.
Featured Aspects
Process
-
What is your As-Is process maturity?
-
Are your processes digital ready?
People
-
What is your organization's digital literacy?
-
Do you have the proper structure for your digital journey?
Strategy
-
Do you have a drafted business strategy?
-
Do you have a separate digital strategy?
-
What is the organizational Vision?
Culture
-
Is your organization ready for the digital journey?
-
How good are you in terms of policy compliance?
Data
-
Are you maximizing your operational data for competitive advantage?
-
How effective are your data-driven decisions in manufacturing operations?
-
Is your organization prepared for the next level of data maturity?
Organizational Data Maturity Level measures how effectively a company collects, manages, and utilizes data.
Low maturity means fragmented or underutilized data, while higher levels integrate data for advanced analysis and actionable insights. High data maturity enables real-time decision-making, continuous improvement, and a competitive edge through effective data-driven management.
Data Oriented Management
Offering end-to-end data solutions, including data management, data pipelines, integration, analytics, and governance to streamline processes and ensure data-driven decision-making.
Delivering analytical dashboard solutions for dynamic data visualization, monitoring, and actionable insights to enhance decision-making and performance tracking.
Day-to-Day Decision Support
ansoim offers day-to-day, data-driven decision-making support to manufacturing organizations, helping them optimize processes and improve performance.
Through real-time data analysis, we empower companies to make informed decisions, reduce downtime, enhance quality, and drive operational efficiency.
Our tailored solutions ensure that businesses not only capture relevant data but also use it effectively to resolve issues, implement improvements, and achieve continuous operational excellence.
Digital Readiness Assessment
Today you already have digital tools in your organization. Depending on your journey so far, it may be one ERP system or multiple for different platforms. However, installing digital tools alone is not transforming your workplace.
During our assessment, we will not only evaluate your digital installations but also conduct a detailed assessment of the process, system, people and your organisational culture.
Digital Roadmap
The end-to-end digital journey is indeed rewarding but can also be expensive. Often, organizations complete this journey over a longer timeframe, during which some systems implemented even year back may lose their relevance or raise compatibility issues. In this cost-sensitive world, such situations are neither desirable nor acceptable.
However, a complete priority and time frame based roadmap is a powerful tool that helps organizations avoid these issues. It reassures the organization that they are in control and supports capital planning and forming a future-looking strategy.
Benefits of Manufacturing Data Analytics
01.
Data collection to predictive insights for real-time issue detection in processes and equipment.
02.
Reduce costs, maximize efficiencies, and lower risks across the supply chain.
03.
Customisable, actionable insights tailored to the company's hierarchy.
04.
Anomaly detection enhances production yield and throughput by identifying defects early in the process.
05.
Reduces risks and costs by identifying bottlenecks, predicting failures, and decreasing machine downtime through predictive maintenance.
Unlock the Power of Data
Data maturity is essential for operational excellence, enabling organizations to effectively use data for better decision-making, process optimization, and continuous improvement. As maturity increases, companies transition from reactive to proactive operations, driving innovation and maintaining a competitive edge.