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Data-Driven Technical Hiring Decisions: Improve the Rate of Offer Acceptance, Retention and Payroll Budget Management

Data-Driven Technical Hiring Decisions: Improve the Rate of Offer Acceptance, Retention and Payroll Budget Management

When a search to fill a technical position has resulted in finding the candidate that fits your firm’s skill requirements and culture, how can you be sure your offer will effectively compensate this qualified candidate? Offer too little, and you will either lose the candidate or de-motivate the new associate or your firm will be vulnerable to a relentlessly demanding technical labor market. Pay too much, and your budget is under pressure. If this decision is handled poorly, it may also introduce salary compression issues that de-stabilize the existing team members. 

Data Monetization: Use Cases, Implementation, and Added Value

Posted in

Tableau

The data monetization landscape is evolving.

Data is a central resource. Only those who manage to extract value from their data will remain competitive, leading many organizations to seek new ways of creating value from their data. Data monetization is the process of identifying and marketing data or data-based products to generate monetary value.

This survey-based study, conducted by BARC Research, seeks to answer the following questions:

Accelerating Digital Transformation with a Modern Approach to Data

Posted in

Qlik

In the digital world, competition is fierce, innovation is constant, and transformation is a must. Businesses everywhere are using data to reinvent themselves–getting the insights they need to reduce costs, reimagine processes, launch new products and services, and much more. So why are some organizations are getting to market faster than others?

Accelerating Digital Transformation with a Modern Approach to Data

How Alteryx on Azure Accelerates the Modern Analytics Lifecycle

Posted in

Alteryx

The Modern Analytics Lifecycle, when paired with a self-service analytics platform, can transform companies from status-quo to data-driven organizations that empower their business analysts and data scientists to push previously untouched boundaries.

Download this Insight Paper from Radiant Advisors to learn the seven steps necessary for enabling the Modern Analytics Lifecycle powered by Alteryx + Microsoft Azure. Learn how: