Remove B2B Remove Data-driven Remove Modeling
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5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. We all know how difficult it can be to get the pricing right in B2B contexts. Analytics can use existing data to model scenarios where customers will respond to different prices.

B2B 145
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Integrated Data Pipelines Make Magento 2 A Premier B2B Solution

Smart Data Collective

Data pipelines have been crucial for brands in a number of ways. In March, Hubspot talked about the shift towards incorporating big data into marketing pipelines in B2B campaigns. “A However, it is important to use the right data pipelines to leverage these benefits.

B2B 140
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Practical Skills for The AI Product Manager

O'Reilly on Data

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product.

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Understanding The Phenomenal Impact of Social Data on B2B Funnels

Smart Data Collective

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. For B2B sales and marketing teams, few metaphors are as powerful as the sales funnel. These are all great reasons to use big data in marketing.

B2B 144
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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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5 Ways to Use Digital Signage for Data-Centric B2B Companies

Smart Data Collective

We have frequently talked about the merits of using big data for B2C businesses. One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. It can be even more useful if you use it with big data.

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Akeneo aims to transform the retail playbook with AI and data consistency

CIO Business Intelligence

It demands a robust foundation of consistent, high-quality data across all retail channels and systems. AI has the power to revolutionise retail, but success hinges on the quality of the foundation it is built upon: data. The Data Consistency Challenge However, this AI revolution brings its own set of challenges.

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