Our inventory process is a systematic approach that zeroes in on every available data asset. We ensure that every piece of information is identified, cataloged, and made accessible for analytics.

Data Discovery:
We deep-dive into all available data points, from advanced systems to spreadsheets, and even handwritten notes.

Data Characterization:
With precision, we define what is stored, its granularity, and the frequency of its capture.

The data ingestion phase is pivotal in pulling all data into a centralized repository, ensuring its availability for the subsequent analytics phase.

Data Collection Methods:
Utilizing ETL/ELT processes, IoT messages, sensor signals, video/audio streams, and more.

Centralized Data:
Our focus is on creating a centralized, accessible location for all data assets.

Inquiry is our systematic process of extracting information from datasets. It's all about discovering meaningful patterns and trends.

This phase is all about delving deep into the data.

Pattern Recognition:
We scout for patterns using various metrics like Min/Max, averages, quartiles, median, and skewness.

Anomaly Detection:
Our experts single out any anomalies in the data.

Correlation Discovery:
We uncover correlations, including autocorrelations and time-lagged correlations, relating them to your context.

Our inventory process is a systematic approach that zeroes in on every available data asset. We ensure that every piece of information is identified, cataloged, and made accessible for analytics.

Data Discovery:
We deep-dive into all available data points, from advanced systems to spreadsheets, and even handwritten notes.

Data Characterization:
With precision, we define what is stored, its granularity, and the frequency of its capture.

Implementation is where insights become action. We ensure that discoveries are transformed into steps that align with business objectives.

Initiation:
- Prioritize improvement initiatives.
- Quantify ROI and project expected uptime improvements.

Execution:
- Enact the necessary changes, be it in equipment, processes, or other areas.
- Continuously monitor improvements in key metrics.

Our philosophy believes in continuous improvement. The iteration process builds upon insights from the previous cycle, ensuring ongoing refinement.

Review and Decision Making:
We assess the current cycle and determine if the problem is resolved or if enhancements are required.

Return to Previous Steps:
Depending on needs, we might revisit the investigation phase or, when new data points emerge, revert to the inventory phase.