Revolutionizing Workforce Analytics: Visier’s AI Assistant Vee Makes Data-Driven Decisions More Accessible

Today, the B2B workforce analytics company Visier announced its first generative AI assistant, Vee. The new AI assistant offers a range of features that help managers, HR leaders, and employees generate insights about their teams using natural language queries. With Vee, business leaders can quickly and easily extract insights from data and build reports automatically, providing new ways for businesses to engage with their data.

Vee’s Key Features

Vee is a generative AI assistant that enables users to easily generate insights from data using natural language queries. Users can type their queries into commonly used apps, and Vee provides near-instant insights about their teams. The AI assistant can be utilized to generate explanatory summaries from data visualizations, making it more convenient for businesses to comprehend and interpret data. One of the critical features of Vee is that it automatically transforms conversational queries into Visier’s query language and provides accurate, succinct narrative answers without relying on proprietary customer data. This ability makes Vee an ideal tool for businesses that are particularly concerned about data privacy and security. Vee is designed to be intuitive and user-friendly, even for those without a technical background.

At the heart of Visier’s vision is its new #askvisier

The command through popular workplace apps like Salesforce’s Slack and Microsoft Teams. Vee plays a critical role in achieving this vision, as it enables business leaders to extract insights from data quickly and easily. The #askvisier command is a powerful tool that allows business leaders to ask Visier a range of questions about their teams. Whether it’s queries about employee performance, compensation, or any other topic, business leaders can use the #askvisier command to extract insights from data quickly and efficiently.

Privacy and security

Visier guarantees the most advanced security model and permissions available for its AI assistant. Vee is designed to be secure and protect the privacy of sensitive data. The company has stringent data privacy policies and security protocols in place to ensure that user data is always safe and secure. In addition to the introduction of Vee, Visier has also announced Smart Compensation, a product designed to streamline the complex compensation planning process using a user-friendly, data-driven approach. Smart Compensation combines Visier’s AI capabilities with an intuitive user interface to provide businesses with an efficient compensation planning process.

Visier was founded in 2010 and has grown to reach over 25,000 customers in 75 countries, including BASF, Bridgestone, Electronic Arts, McKesson, and Merck KGaA. The company has established itself as a leader in the workforce analytics industry, by providing businesses with innovative solutions to help them harness the power of data. Vee is currently available for customer and partner preview and will be widely available in autumn 2023. This timeline provides businesses with ample time to prepare for the introduction of Vee and start exploring how it can help them extract insights from their data quickly and easily.

Explore more

AI Redefines the Data Engineer’s Strategic Role

A self-driving vehicle misinterprets a stop sign, a diagnostic AI misses a critical tumor marker, a financial model approves a fraudulent transaction—these catastrophic failures often trace back not to a flawed algorithm, but to the silent, foundational layer of data it was built upon. In this high-stakes environment, the role of the data engineer has been irrevocably transformed. Once a

Generative AI Data Architecture – Review

The monumental migration of generative AI from the controlled confines of innovation labs into the unpredictable environment of core business operations has exposed a critical vulnerability within the modern enterprise. This review will explore the evolution of the data architectures that support it, its key components, performance requirements, and the impact it has had on business operations. The purpose of

Is Data Science Still the Sexiest Job of the 21st Century?

More than a decade after it was famously anointed by Harvard Business Review, the role of the data scientist has transitioned from a novel, almost mythical profession into a mature and deeply integrated corporate function. The initial allure, rooted in rarity and the promise of taming vast, untamed datasets, has given way to a more pragmatic reality where value is

Trend Analysis: Digital Marketing Agencies

The escalating complexity of the modern digital ecosystem has transformed what was once a manageable in-house function into a specialized discipline, compelling businesses to seek external expertise not merely for tactical execution but for strategic survival and growth. In this environment, selecting a marketing partner is one of the most critical decisions a company can make. The right agency acts

AI Will Reshape Wealth Management for a New Generation

The financial landscape is undergoing a seismic shift, driven by a convergence of forces that are fundamentally altering the very definition of wealth and the nature of advice. A decade marked by rapid technological advancement, unprecedented economic cycles, and the dawn of the largest intergenerational wealth transfer in history has set the stage for a transformative era in US wealth