Workforce analytics has been around for quite some time now, and it is still going strong today. In fact, you might be surprised to learn that workforce analytics isn’t just a method of data collection and analysis. Instead, workforce analytics can actually be described as an umbrella term encompassing several separate processes and methods of gathering data and then using it to your company’s advantage to make better decisions and gain a competitive advantage over the competition.

An exploration of the features of workforce analytics tools and how they can boost productivity and efficiency in the electrical industry.

81% of online shoppers look up products before purchasing. This is why it is crucial to have accurate and highly detailed product information on your eCommerce site. However, product content is just one element of eCommerce data management. It also requires the efficient collection, storage, and use of all data.

Some would argue they’re the same thing, but in our view, workforce and HR analytics use different data and lead to different insights. Read this guide for an in-depth breakdown of each.

Web analytics are a standard for online businesses, and product managers rely heavily on web analytics data when making product decisions. Stats like website traffic, conversions, in-app events, or unique users are frequently used as indicators of business health, because they help identify if the product is moving in the right direction or not.

Statistically, if you own or manage a website, you’re probably using Google Analytics. For countless business owners and marketers, Google Analytics is their go-to source for website performance data. Google’s dominance in the analytics world looks set to continue, even as it currently migrates its 35 million customers onto Google Analytics 4 (otherwise known as GA4 – the new version of its product) by July 1 2023.

The Exoprise marketing team sat down with their CEO, Jason Lieblich, to discuss predictive analytics, market trends, and the technology’s usage in troubleshooting network issues.

Successful companies are constantly asking questions. Customer support teams are in a tricky situation — they need to optimize costs and still provide the best agent and customer experience. Many businesses use traditional KPIs like average handle time and first call resolution as key metrics. But support leaders wonder if these metrics are really the best path to improved agent performance and increased customer satisfaction. That’s where conversation AI analytics comes in.

Ecommerce analytics tools can provide you with powerful data-driven insights that help you measure your business’s progress and stay ahead of the curve. In 2019, retail ecommerce sales worldwide amounted to 3.53 trillion US dollars and e-retail revenues are projected to grow to 6.54 trillion US dollars in 2022. Ecommerce is booming and to maximize your reach and remain competitive it’s important to have the right tools to analyze your business’s success and areas for improvement.

At your CTO’s request, you recently started researching how to go about revamping or building your product’s notification system. You realized the complexity of this project around the same time as you discovered that there’s not a lot of information online on how to do it. Companies like LinkedIn, Uber, and Slack have large teams working just on notifications, but smaller companies like yours don’t have that luxury.