Use your data to improve business processes, reduce costs and identify opportunities for growth

Data analytics is about extracting actionable insights from raw data. For companies, it’s about identifying hidden patterns and trends that you can leverage to make better decisions, reduce costs and improve your business.

Descriptive Analytics

Interprets historical data to understand what has already occurred. It is usually presented in the form of charts and graphs.

Predictive Analytics

Uses data, statistical algorithms and machine learning techniques to predict future outcomes based on historical data.

Diagnostic Analytics

Determines why something has happened or is occurring. It is used to identify anomalies, trends or relationships.

Prescriptive Analytics

Prescribe a course of action based on predictive analytics

What level of data analytics you should implement depends on the maturity of your current analytics and the quantity and quality of the data your devices have been gathering.

Identify your analytics goals

Our team will work with you to determine your current and future analytics goals and help you build a plan to achieve them.

Visualize your data

Esprida will use powerful BI and visualization tools to build dashboards and reports that provide insights from your real-time and historical data and identify trends, patterns and dependencies that you could not see or quantify before.

Store your data

Esprida will develop an IoT data storage architecture and strategy that meets your analytics goals, budget and performance requirements.

Consolidate your data

We will build services to gather your data from other business systems (e.g., ERP, MES, etc.) to create a singular data analytics platform.