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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. They specifically help shape the industry, altering how business analysts work with data.

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The Ultimate Guide to Enterprise Data Warehouse

Astera

What is an Enterprise Data Warehouse (EDW)? An Enterprise Data Warehouse is a centralized repository that consolidates data from various sources within an organization for business intelligence, reporting, and analysis.

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What Is Data Management and Why Is It Important?

Astera

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

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All You Need to Know About Data Aggregation

Astera

Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability. Documenting the sensitivity analysis process to gain insights into the aggregated data’s reliability.

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Data Warehouse vs. Database: Understanding the Differences

Astera

Data warehouses offer numerous advantages for organizations that need to manage and analyze large volumes of data. Here are some of the key advantages of using a data warehouse: Business intelligence and analytics: Data warehouses consolidate diverse data sources and enable in-depth analysis, reporting, and decision-making.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization.