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Consolidating your tech stack is an effective cost-saving measure that drives GTM efficiency and adds value to your enterprise. With a cohesive, integrated tech stack, your revenue teams can deliver an excellent customer experience that sets you up to win faster than your competitors.

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In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.

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Longer sales cycles. Larger buying committees. Slow-moving compliance reviews. Every go-to-market team knows the frustrations that come from a drawn-out sales process. How can you speed it up? By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster.

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Even in today’s data-driven sales world, cold calling remains a fact of life for many go-to-market professionals. Fortunately, today’s sales leaders have a crucial advantage over their predecessors: market intelligence and outreach platforms that can warm up virtually any introduction.

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Longer sales cycles. Increasingly discerning buyers. More meetings. Intensifying competition. Economic uncertainty. Go-to-market teams of every size, in every industry, are grappling with these challenges firsthand. Thankfully, there’s an answer. We’ve developed an entirely new way for GTM leaders to identify and execute proven, data-driven strategies that drive revenue.

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Sales outreach is an art and a science. The art is what you bring to the table—your flair for conversation, your work ethic, your dedication. We bring the science—proven tactics, strategies, and methods that really work. In this eBook, we’ll cover: How you should respond to inbound leads Tactics for engaging outbound leads (cold calls, email automation, and gifts) The key to keeping a prospective account alive for the long haul Buckle up!

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. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.

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. Discover the top seven requirements to consider when evaluating your embedded dashboards and reports.

Data Robot

Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds. But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the r

Continuous optimization is the key to digital customer experience success. AB Tasty's guide to web optimization provides insights from 50 real-world tests across different industries and channels. This guide covers a wide range of topics, including: Use cases from different industries, such as beauty, travel, hospitality, fashion, retail, and nonprofits Multichannel coverage, including desktop homepages, mobile websites, and apps A variety of tests for personalization, CTAs, navigation bars, pro

This white paper helps quantify the return on investment of UX Research, giving you key insights to persuade your stakeholders to increase their investments in UX Research.

This white paper will go through each step of the product management process and explain how a UX platform can make you more efficient, thoughtful and effective through each stage of development.

Our white paper, A Match Made in Heaven will give you a deep understanding of what exactly product led growth is, why it is so successful, and the UX tools you can use to understand your customers needs in order to build a product they love.

To better understand the value of UX research in subscription-based services, this whitepaper will dive into various facets of subscription-based services within the context of Software-as-a-Service (SaaS) companies.

As industry leaders in user experience research, we are pleased to offer you access to our latest white paper: ‘Should UX designers be doing research or should that be left only to UX researchers?

Data Robot

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI. From productivity gains to finding new routes to revenue generation, generative AI is going to radically transform how we work.

Data Robot

An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. All of this is tightly intertwined with a myriad of complicated technical decisions that can make or break any long-term AI strategy. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.