Day: June 30, 2020

CEIPAL Releases Native Business Intelligence Platform to Deliver Comprehensive Insights for Staffing Professionals & HR Executives

CEIPAL Launches Native Business Intelligence Platform to Deliver Comprehensive Insights for Staffing Industry

“The data CEIPAL’s BI provides is astounding. Suddenly my ATS is more than a software—it’s an analyst too.”

CEIPAL, an industry-leading talent acquisition automation platform, today announced the launch of a new business intelligence module that will furnish staffing firms with data-driven insights, driving productivity, profitability, and efficiency.

Reporting is a notoriously weak area for ATS platforms, especially for those founded +20 years ago. Older platforms have failed to deliver relevant business insights for staffing companies. Common, industry-wide complaints include difficult-to-understand reports, lack of customizability, and irrelevant metrics. Other customers note the extra up-charge fees for customized report creation.

ATS platforms attempt to solve these problems by integrating with other reporting platforms—but these integrations are costly and faulty, creating room for error. Another standard solution involves customers coordinating

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6 Key Areas of Business Intelligence in the New Era

Image by Qimono from Pixabay (CC0)
Stephanie Shen

Back in 1958, Han Peter Luhn, a researcher at IBM, initiated the concept of Business Intelligence (BI), using the definition from Webster’s Dictionary: to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal. Given its definition, Business Intelligence is indeed a vision. It should not be represented by the tools or technologies designed at some given time. In other words, it should be viewed as a company’s strategic vision for transforming data assets into business insights to make data-driven decisions.

Historically, there were two eras that revolutionized and popularized the concept of Business Intelligence. The first was in the 1980s when relational database was invented and became the mainstream tool for data collection and data storage. Database, along with SQL, enabled businesses to access information more quickly to make business decisions based on current facts

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