Sustainability Through Data

Most of today’s Indonesian and Malaysian palm oil estates use traditional methods of data collection. Reporting takes weeks or months to produce so decisions are reactive instead of proactive. eKomoditi has developed an easy to use Android application that plantations can use more efficiently.

EPCS Plantations Software

BI Report


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In the information age, we have access to a wealth of data and information. However, making sense of this data can be overwhelming. Business Intelligence and Analytic tools are able to dissect and connect relevant data, and present it in easily understood reports. This allows you to explore and discover patterns and insights that can help you make better decision.

The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. The purpose of Business Intelligence is to support better business decision making. Essentially, Business Intelligence systems are data-driven Decision Support Systems (DSS). Business Intelligence is sometimes used interchangeably with briefing books, report and query tools and executive information systems.

Business Intelligence systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data. Software elements support reporting, interactive “slice-and-dice” pivot-table analyses, visualization, and statistical data mining. Applications tackle sales, production, financial, and many other sources of business data for purposes that include business performance management. Information is often gathered about other companies in the same industry which is known as benchmarking.


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