Userpilot
JULY 21, 2024
Embarking on a career as a data analyst involves a combination of education, skills development, and practical experience. This guide will provide you with a comprehensive overview of the path to becoming a successful data analyst. Looking into tools for data analysts? Let’s dive in!
Userpilot
JULY 21, 2024
Embarking on a career as a data scientist involves a combination of education, skills development, and practical experience. This guide will provide you with a comprehensive overview of the path to becoming a successful data scientist. Junior Data Analyst (0-2 years)2. Data Analyst (2-4 years) 3. Let’s dive in!
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Userpilot
JULY 25, 2024
Whether you’re looking to deepen your expertise, stay updated with industry trends, or find practical tools to enhance your workflow, the right resources are essential for continuous growth and success. A data scientist collects, cleans, and analyzes data, develops predictive models, and communicates findings to stakeholders.
Userpilot
JUNE 17, 2024
Understanding how to analyze survey data doesn’t have to be complicated. With the right survey questions, you can gain insights into what your customers like and dislike about your brand, products, and services. The two main types of survey data are quantitative data and qualitative data.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. How today’s banks can handle the data science talent shortage. Brought to you by Data Robot.
Userpilot
JULY 21, 2024
TL;DR A business intelligence (BI) analyst is a data specialist who helps businesses translate raw data into actionable insights. Many successful BI analysts have transitioned from other fields by demonstrating their passion for data and acquiring the necessary skills through alternative routes. Let’s dive in!
Userpilot
JULY 14, 2024
Starting a career as a data analyst requires understanding the key steps, skills, and experiences needed for success. In this article, we will outline the typical journey for data analysts, covering educational requirements, entry-level positions, potential advancements, and long-term opportunities. Book a demo to see it in action!
Speaker: Anita Lauper Wood, Product Strategist
As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictive analytics. Having insights about people, such as understanding purchase intent or pinpointing future inventory needs, gives products the ability to leverage that data and provide significant added value.
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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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A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.
Did you know that the embedded analytics and business intelligence market is expected to reach a $1.3 In this study, Infragistics explores the trends in modern adoption and usage of the technology. billion value in 2023?
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. How today’s banks can handle the data science talent shortage. Brought to you by Data Robot.
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Get the tools to turn data into actionable insights and deliver personalized, relevant, timely messaging to increase conversions and maximize your ROI. A unique case-study, complete with hard metrics and step-by-step process breakdown. Multichannel and omnichannel marketing are not the same.
Speaker: Rene Kolga, Senior Director of Product and Marketing, Nyotron
You can learn a lot by studying your product data, but the real magic happens when product managers blend different types of data from different sources. How to save time by using data that's already been collected by another team.
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