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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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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Overstocking can lead to increased holding costs and waste, while understocking can result in lost sales, reduced customer satisfaction, and damage to the business’s reputation. This is because raw data from various sources can contain inconsistencies, errors, and missing values that may distort the analysis and forecast results.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

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Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

This template configures the following resources: The Aurora MySQL instance sales-db. The AWS DMS task dmsreplicationtask-* for full load of data and replicating changes from Aurora (source) to Amazon S3 (destination). The Redshift cluster blog_cluster with database sales and fact and dimension tables. Choose Save.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. How industries can benefit from streaming data.

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Supercharging Your Digital Transformation with Embedded Analytics

Sisense

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.