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Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.

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How to Become a Data Scientist [+Tools and Resources]

Userpilot

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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Best Resources for Data Scientists

Userpilot

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.

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How to Become a Business Intelligence Analyst [+Tools and Resources]

Userpilot

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!

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UX and Design Tips for Better Dashboards: Product Manager Laura Klein Explains How to Improve Your Analytics

Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups

That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. How to avoid common mistakes people make when presenting data. No one makes poorly designed products on purpose. And yet we have so many of them in our lives.

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How to Analyze Survey Data in SaaS: Steps and Best Practices

Userpilot

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.

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Data Scientist Career Path

Userpilot

Starting a career as a data scientist requires understanding the key steps, skills, and experiences needed for success. In this article, we will outline the typical journey for data scientists, covering educational requirements, entry-level positions, potential advancements, and long-term opportunities. Data Analyst (2-4 years) 3.

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How to Use Visual Product Roadmaps for Better Planning and Results

Product managers (PMs) must gather and analyze product data, create product roadmaps for multiple stakeholders, identify roadblocks, and track a long list of milestones—all while staying on a tight schedule. Using a visual planning tool like MindManager® can make this process a whole lot easier. Get your free copy today!

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Product Management Excellence: Data-Driven Insights into High Performance

Speaker: Jeff Lash, VP and Group Director, Product Management, SiriusDecisions

SiriusDecisions has conducted research into highly successful organizations, looked at the data, and identified the key characteristics that separate the top performers from everyone else. You'll leave with specific, practical tips you can start to implement immediately to improve your product management team's performance in these areas.

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How Leveraging Data Creates Efficient Product Roadmaps

Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager

Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. This lack of insight makes it impossible for these teams to prioritize.

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Product Management & The 3 E’s: Experiments, Experiences, and Efficiencies

Speaker: Nicole Munson, Senior Product Manager at American Express

Product Manager at Amex Savings, for this insightful webinar based on her many years of launching products to a variety of end-users. Best ways to use data to design new experiences. Best ways to use data to design new experiences. Tips and tricks to understand data efficiently.

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Why Product Managers Must Relearn Their Customers

Speaker: Janelle Estes, CIO, User Testing

Join Janelle Estes, Chief Insights Officer, at UserTesting, for a comprehensive episode on getting the data you need to relearn you customers and succeed. Practical tips for pulling in customer feedback without delaying your process. Integrating their feedback is the first step! Real-life examples of this process.