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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

Analytics 363
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Here’s Why the Workforce Analytics Market is Ripe for Disruption

CEO Insider

Earlier this month I met with an industry analyst who shared an astonishing fact: a Top 10 Fortune 500 company recently built an in-house workforce analytics solution — and had 7,000 employees assigned to manage it. That’s right, seven thousand.

Analytics 111
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Achieving New Heights in Healthcare Marketing With Salesforce Marketing Cloud Personalization

Perficient

In December 2022, the Department of Health and Human Services released a bulletin announcing additional compliance requirements for healthcare marketers when it comes to third-party trackers. The requirement to potentially depart from using Google Analytics is a major disrupter to how teams have been operating for years.

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In freemium marketing, product analytics are the difference between conversion and confusion

TechCrunch

Jeremy Levy is CEO and co-founder of Indicative , a product analytics platform for product managers, marketers and data analysts. The freemium marketing approach has become commonplace among B2C and B2B software providers alike. That’s where the right analytics can lead to significant results. Sweat the small stuff.

Analytics 226
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The Hidden ROI of Embedded Analytics for SaaS Companies

Most companies realize the value third party analytics solutions offer in delivering a best-of-breed capability to market quickly. However, end-user expectations have moved beyond what embedded analytics can offer and now encompass a seamless user experience, easy to use self-service, and immediate data response times.

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5 tips for excelling at self-service analytics

CIO

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 342
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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Business intelligence is an increasingly well-funded category in the software-as-a-service market. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. “In short, data teams in enterprise analytics are stuck in the past.

Analytics 215
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How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition.

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The Definitive Guide to Embedded Analytics

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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7 Questions Every App Team Should Ask

Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.

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How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

King’s product managers rely heavily on analyzing product features using analytics data and visualization to improve outcomes. He’ll also cover the various other ways that King uses analytics across their entire company, from finance to performance marketing. Come learn to crush analytics with King.

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Power of the Platform: A PM's Path to a Winning Product Experience

Speaker: Marcus Andrews - Director of Product Marketing & Keren Wexler - Sr. Director of Product

Leveraging a single platform that combines product analytics, in-app guides, and feedback management solutions can be the most effective way to deliver digital experiences users love. Marcus Andrews, Director of Product Marketing, and Keren Wexler, Sr. This is an exclusive session you don't want to miss!

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.