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Breaking Down Data Silos: From Fragmented Data to Consolidated Insights

Astera

With the need for access to real-time insights and data sharing more critical than ever, organizations need to break down the silos to unlock the true value of the data. What is a Data Silo? A data silo is an isolated pocket of data that is only accessible to a certain department and not to the rest of the organization.

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How to Build a Data Governance Strategy for Your Organization

Astera

It would focus on what the customer wants, how the market is behaving, and what other competitors are doing, all through the lens of fresh, accurate data. In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management.

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How Automated Financial Data Integration Streamlines Fraud Detection

Astera

Fraudsters often exploit data quality issues, such as missing values, errors, inconsistencies, duplicates, outliers, noise, and corruption, to evade detection and carry out their schemes. According to Gartner , 60% of data experts believe data quality across data sources and landscapes is the biggest data management challenge.

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 Top 5 Data Preparation Tools In 2023

Astera

Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35

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Automated Financial Data Integration for Fraud Detection | Astera

Astera

According to a survey by Experian , 95% of organizations see negative impacts from poor data quality, such as increased costs, lower efficiency, and reduced customer satisfaction. According to a report by IBM , poor data quality costs the US economy $3.1 You can choose the load mode depending on the data volume and frequency.

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Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Actian

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

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The Top 7 Data Aggregation Tools in 2024

Astera

Example Scenario: Data Aggregation Tools in Action This example demonstrates how data aggregation tools facilitate consolidating financial data from multiple sources into actionable financial insights. Alteryx Alteryx is a data analytics platform offering a suite of data aggregation tools.