Remove B2B Remove Big Data Remove Metrics Remove Optimization
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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 technology can help companies optimize their prices more effectively.

B2B 132
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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 127
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The Very Best Digital Metrics For 15 Different Companies!

Occam's Razor

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. There is no golden metric for everyone, we are all unique snowflakes! :).

Metrics 141
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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 111
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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Identifying key use cases After a number of preparation meetings to discuss business and technical aspects of the use case, AWS and Altron identified two uses cases to resolve their two business challenges: Business intelligence for business-to-business accounts – Altron wanted to focus on their business-to-business (B2B) accounts and customer data.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

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Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion

AWS Big Data

This dataset contains transaction data from a software as a service (SaaS) company selling sales and marketing software to other companies (B2B). You can visualize the sales data by industry with a pie chart with the index pattern created in the previous step.