OUR BLOG

Brewing has become one of the most competitive industries in the world. Efficient information management, including utilizing key performance indicators (KPIs), can be the difference between record profits and struggling to make payroll.

An embedded analytics platform is software seamlessly integrated into your application providing both developers and end users real-time ad hoc reporting, visualization, data preparation, pixel-perfect templating, dashboarding, and other analytics functionality.

Cash inflows are the fuel that keeps businesses running. Revenue generation would be much easier if all customers paid on their agreed period. Customers miss payments for a variety of reasons, but proper identification and processing can speed the collection of receivables and improve cash flow forecasting. An Aged Receivables report details all receivables due from customers with the duration that they have been outstanding. Would an Aged Receivables report assist your organization with collecting overdue funds?

Entrinsik is excited to announce Informer’s standout performance in the BARC BI & Analytics Survey 22. This is the world’s largest and most...

We can now take Version 5.5 on a world tour as it will have Internationalized UI support for Mexican Spanish, Canadian French, and German as well as support for dates and times based on the locale of a User.

On occasion, database-level functions need to process data fields before those fields are ready for use in reporting tools. For example, referencing a TRANS subroutine to pull Fields from one file into another on U2 databases or a SUBSTRING function on a SQL database to extract the ID of a multi-part key field.

Entrinsik offers various options for technical and end user training to help users get the most out of their investment in Informer. Whether the need is to train new analysts or administrators or to offer consulting to build content, we have a flexible services model to fit your needs and budget to ensure a successful Informer implementation.

When data is abundant, finding actionable insights can be like finding a needle in a haystack. The key to extracting insights from big data is preparing the Dataset in a meaningful manner, and then being able to interact with it efficiently. If it is cumbersome or time-consuming to obtain results, it quickly diminishes the value of the Dataset.

The Web Datasource driver, an experimental feature in 5.4, connects Informer to web-based tool opening the door to many different types of datasources. The driver enables Informer to connect to a REST endpoint to retrieve data. This type of connection allows users to connect to data that is not installed internally in their environment. Users will be able to pull data from SaaS-based hosted solutions. For example, at Entrinsik, we have utilized the driver to connect Jira Software to Informer 5 to aid in the efficiency of our developmental process. Jira is where we keep track of all bugs and feature requests generated by customer use. See below on how we connected Infomer to Jira (Figure 1).