CIO
OCTOBER 30, 2024
The impact of DXA on customer experience For product leaders, Digital Experience Analytics (DXA) has provided a transformative shift. Quantum Metric’s position in the DXA space Building on this innovation, we’re thrilled to be recognized as a leading Digital Experience Analytics Platform by Research in Action’s 2024 Vendor Selection Matrix™.
CIO
FEBRUARY 10, 2023
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.
CIO
OCTOBER 2, 2024
This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 In a recent Gartner data and analytics trends report, author Ramke Ramakrishnan notes, “The power of AI and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate.
CIO
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
CIO
SEPTEMBER 14, 2023
Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Depending on the organization, they may also be responsible for communicating data trends. What is a data engineer? Their primary responsibility is to make data available, accessible, and secure to stakeholders.
CIO
NOVEMBER 22, 2022
Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.” Analytics, Data Management
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
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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.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Delve into the diverse use cases where data analytics plays a pivotal role. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem. Join us for a forward-looking exploration of the future data landscape!
Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.
Speaker: Josh Martin, Director of Product Marketing, Logi Analytics
Embedded analytics has evolved from an afterthought to a necessity. The state of embedded analytics in 2018 is in flux. Join Logi Analytics as they explore new survey findings and trends. The latest trends and future landscape of the embedded space.
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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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