USING CONTENT MARKETING TO GENERATE DEMAND, CREATE NEW AUDIENCES

August 14, 2019

Content—and how brands use it to interact with buyers at all stages of the engagement journey—has fundamentally reshaped every business’ go-to-market strategy. This shift has been particularly challenging for “top-of-the-funnel” demand generation marketers, most of who are under tremendous pressure to produce results. One study found that 70% of marketers surveyed expect their demand generation budgets to increase in 2018, with one-third expecting them to increase by more than 20%.1 Of course, generating demand is the job of marketing writ large. Marketers make markets. They work to create groups of viable buyers where none existed before.

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Sparkcognition

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.

OTHER WHITEPAPERS
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Data Management with Cloudera Data Platform on Dell Infrastructure

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

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Vida for Retail: Rebooting Retail withthe Power of Data Analytics

whitePaper | January 11, 2023

There used to be a time when purchase decisions were based on recommendations of the neighborhood grocery manager. Today, these purchase decisions are driven by technology, bringing together the collective wisdom of consumers of the same product from across the world.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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Using Alation to Accelerate Your Active Data Governance

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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The Power of Graph Data Science: Maximizing the Value Of Data Through Predictive Insights

whitePaper | September 28, 2022

Graph data science (GDS) is a scientific approach to gain knowledge from graphs, using the structures of connected data to power predictions, answer questions, and explain outcomes.

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Spotlight

Sparkcognition

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.

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