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A Complete Guide to Data Analytics

Astera

Statistical Analysis : Using statistics to interpret data and identify trends. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders. This proactive approach has helped 90% of Fortune 500 Companies gain a competitive edge. What Is Big Data Analytics?

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Data Science vs Data Analytics: Key Differences

Astera

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Data science is the study of data that combines analytics, mathematics, and statistics to extract useful insights and guide business decisions. Understanding these differences is vital for professionals harnessing data effectively.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

They outline the various data elements, such as customer details or transaction records, and illustrate the connections between them Therefore, a data model is not just a visual aid that brings clarity to vast and complex data but also a strategic tool that shapes the way data is configured for optimal use.

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Data Merging Essentials: Combining Information for Insights

Astera

Did you know that marketing professionals alone use an average of 15 different data sources to collect customer information? The diverse applications used by different functions in an organization to gather information also make it difficult to review each source for accurate insights. Duplicate data can lead to wasted resources.

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CRM: everything you need to know to get started

Monday

Every company claims to have it figured out and managers won’t stop referencing it at each available opportunity. We’re going to break down the subject of Customer Relationship Management — that’s one question answered! — Welcome to Customer Relationship Management 101. And what about the second company?

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Maximize Your Salesforce CRM Data with These Integrations

Domo

More than 150,000 companies around the world rely on Salesforce ’s customer relationship management (CRM) platform to manage all their customer interactions across marketing, sales, e-commerce, and support. With Salesforce, you can manage customer relationships across the lifecycle to inspire new sales, continued loyalty, and upsells.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Dealing with Data is your window into the ways organizations and data teams tackle the challenges of this new world to help their companies and their customers thrive. Dealing with Data is your window into the ways organizations and data teams tackle the challenges of this new world to help their companies and their customers thrive.