Product managers help accelerate the product development and launch for many companies. Therefore, it's important to have the right employee in place. However, the pool of talented product managers can be elusive, the following article explores how companies can aim to attract and retain the best talents. Charles Dearing is a veteran tech and marketing journalist with over 15 years of experience using words to move people to act.

Birst

Curious about which industries, use cases, and business applications provide the best opportunities for data monetization? Want to understand what data is being monetized, who wants it, and why? Feel like you should be able to use data you already own to create new revenue sources? If the answer to any of those questions was yes, then we have good news for you!

Interactions LLC

The quality of a customer care strategy can make or break a company. Simply resolving a customer service issue or complaint is no longer enough— in a competitive, customer-obsessed environment, there is always room for improvement. In a recent research report on Customer Effort, Interactions found that customers simply aren’t willing to spend a lot of time getting their issues resolved.

Jinfonet

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

Jinfonet

The world of BI and analytics has evolved. Discover the five styles of reporting and analysis, and learn the pros and cons of each in an enterprise scenario.

Jinfonet

Get inspiration for your next dashboard update in this guide to the six styles of analytics and data visualizations.

Product managers have long relied on the Minimum Viable Product (MVP), but in the age of AI, a minimum AI-Ready Product (MAP) – an evolution of the MVP that ensures a product is not just functional but ready to leverage AI from day one has become crucial

ZoomInfo

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

As your company grows and your product matures, so too should your product strategy. Drawing from their decades of experience as product leaders, Stanford Online instructors Donna Novitsky and Laura Marino share best practices for defining your product strategy at each stage of company growth. Get practical, real-world product strategy tips from experts who have lived through the same challenges you’re currently facing.

Effective risk management in product development balances safety, compliance, and opportunity. Risks can't be eliminated, but they can be mitigated through structured assessments, clear documentation, and expert guidance. Engaging specialists ensures efficiency, regulatory adherence, and product security while reducing costly oversights. A well-executed risk management plan includes frequent evaluations, defined assessment criteria, and a structured decision-making process.

Great product management starts with great teams. Our free assessment tool reveals where your team excels and uncovers opportunities for growth across six key dimensions: Context, Investigate, Define, Create, Deliver, and Leadership. In just 10 minutes, gain actionable insights that show you exactly where to focus to improve performance, drive outcomes, and strengthen your team in key areas.

In 2024, B2B customers expect better quality and service with streamlined experiences that match consumer-grade simplicity—no long calls or meetings required. Our B2B eCommerce Trends Report, surveying 400+ B2B professionals in the US and Europe, reveals how eCommerce has become vital to top companies’ strategies. The report shows how leaders are leveraging eCommerce to break data silos, unify channels, and deliver the personalized experiences that customers demand.

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Uncover the secrets driving the future of the Subscription Economy. Zuora and BCG’s latest report uncovers how hybrid pricing models—combining subscription and consumption (usage)—are fueling faster growth, especially in AI-driven sectors. Discover how industry leaders are outperforming their competition by diversifying revenue streams and adopting cutting-edge infrastructure and billing systems.

Innovation varies widely across sectors and organizations, creating value in diverse forms. Understanding different types is crucial for R&D teams to foster creativity and uncover missed opportunities. This guide explores 25 key types of innovation in management frameworks.

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success. That’s why we developed this white paper to give you insights into four key open-source technologies – Apache Cassandra®, Apache Kafka®, Apache Spark™, and OpenSearch® – and how to leverage them for lasting success. Discover everything you’ll want to know about scalable, data-layer technologies: Learn when to choose these technologies and when to avoid them Explore h

Connected devices are emerging at an explosive rate exerting pressure on larger operators; however, some organizations cannot continue to purchase the latest & greatest devices without ramifications. The introduction of automated test technology drives the optimization of supply chain expenditures leveraging forward & reverse logistics paths. Adopting innovative test automation tools addresses these challenges by providing robust solutions for testing the interoperability, performance, & securit

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.