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5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies.

B2B 128
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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. But for accurate modeling, you need lots of reliable data.

B2B 123
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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning.

Marketing 107
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AI-Driven SEO is Becoming Essential for Modern Marketing

Smart Data Collective

Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.

Marketing 136
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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

They can enrich their datasets by joining operational data replicated through zero-ETL integrations with other sources such as sales and marketing data from SaaS applications and can even create Amazon QuickSight dashboards on top of this data to track key metrics across sales, website analytics, operations, and more—all in one place.

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An Overview of Sales Analytics in Event Industry

BizAcuity

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67
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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. SaaS companies are no exception. What does SaaS stand for?