Business Intelligence

Intempo Introduces New Mobile App to Manage and Monitor Rental Assets

Intempo, a rental management software company recently launched a unique mobile app that provides various options to users to help them solve their data management problems. The mobile app performs the task of transforming rental data into easily digestible, actionable information. The app has been built to make rental processes easier and flexible. Intempo has been providing its customers with remote visibility into their rental inventory assets and aims to help them unleash maximum value through data accuracy and accessibility.

“Our goal has always been to offer technology solutions that empower rental businesses to make smarter decisions and to cultivate customer loyalty,” said Matt Hopp, general manager of InTempo. “Bringing our data to mobile takes both our software and our value proposition to the next level. We’re excited to give our customers the flexibility to access crucial KPIs and find profit, whether they’re in the yard, at a jobsite or at home.”

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What to Choose for Your BI and Analytics Journey

The BI market has changed quite a lot in the past few years as IT companies have learnt to adopt BI tools depending on their current business practices. Although the IT industry has led the charge in developing modern BI and analytics platform, they continue to face challenges in the integration of huge amounts of siloed data. At an enterprise level, there is clearly a shift of focus from IT-led reporting to business-led self-service analytics.

Technology vendors today working in tandem with customers need to understand what their business requirements are and how they can use data to strengthen their business intelligence journey. Analytical and technical tools can unlock the strategic importance of data, but that does not mean intelligent business processes are easy to come by. Coordination between operational teams and IT department is one of the key requirements in bringing BI tools for detailed analysis and reporting of data. In today’s digital world, data scientists need to plan, architect and implement the enterprise data warehouse with powerful, intelligent business analytics.

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