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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Drive Growth with Data-Driven Strategies: Introducing Zenia Graph’s Salesforce Accelerator

Ontotext

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. These challenges impede businesses from understanding their sales leads holistically, ultimately hindering growth.

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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

The sales team at the consulting firm proposed that a bigger budget was needed to keep the data factory churning out enterprise-critical analytics. The data requirements of a thriving business are never complete. DataOps improves the robustness, transparency and efficiency of data workflows through automation.

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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses.

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

AWS Big Data

These are run autonomously with different sales teams, creating siloed operations and engagement with customers and making it difficult to have a holistic and unified sales motion. Goals – Grow revenue, increase the conversion ratio of opportunities, reduce the average sales cycle, improve the customer renewal rate.

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Data Observability and Monitoring with DataOps

DataKitchen

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

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Mastering BI Dashboard Tools: Your Essential Guide

FineReport

By visually representing data through charts, graphs, and maps, they foster collaboration and knowledge sharing among stakeholders. Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users.