Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

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Astera

JUNE 6, 2024

Data governance is the framework of policies, procedures, and roles responsible for ensuring data quality, security, and compliance within an organization. With proper data governance, organizations can use their data to make informed decisions and minimize non-compliance risks. Start a Free Trial

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Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

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Dataversity

NOVEMBER 11, 2022

Until fairly recently, I was considered somewhat of a data privacy watchdog by my family and friends. I have all my privacy settings set to the max, I don’t download shady apps, no matter how popular they may be, and I am mistrustful of most requests for my personal data. But my behavior was the […].

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Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

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Dataversity

DECEMBER 2, 2024

This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website. This book offers readers a strong foundation in AI governance. Welcome to December 2024’s “Book of the Month” column.

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Astera

JANUARY 2, 2024

Craft an Effective Data Management Strategy A robust data management strategy is a prerequisite to ensuring the seamless and secure handling of information across the organization. Download this whitepaper a roadmap to create an end-to-end data management strategy for your business.

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. Data breaches and regulatory compliance are also growing concerns.

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Astera

JUNE 4, 2024

Lineage Tracking to Understand Data Origin and Flow A data catalog tracks the origin of each data set, its transformations, and its flow throughout various systems. This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle.

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Astera

JULY 12, 2024

Access Controls: Details on who can access the data and under what conditions. Data Quality Metrics : Information on the accuracy, completeness, and reliability of the data. These metrics help users assess the data’s suitability for their specific needs. Take the first step towards better data management.

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Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

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Astera

APRIL 10, 2023

Improved Business Insights: By combining data from multiple sources, businesses can gain deeper insights into their operations, enabling them to identify trends, opportunities, and potential risks. Interested in Learning More About Cloud Data Integration? It provides a unified view of data and enables informed decision-making.

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Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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Astera

JANUARY 18, 2024

Download Trial Fivetran Limitations While Fivetran is a viable tool for basic ELT projects, it does come with some limitations when it comes to broader data integration projects, especially in large enterprises. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool.

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Astera

MARCH 30, 2023

Data sharing also enables better, informed decisions by providing access to data collected by various business functions such as operations, customer success, marketing, etc. Moreover, data sharing leads to better data governance by centralizing their data and ensuring that it is consistent, accurate, and updated.

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Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

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Astera

JANUARY 18, 2024

Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Download a 14-day free trial to get started.

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Astera

NOVEMBER 16, 2022

Understand and assess potential data quality challenges in a hybrid cloud environment. Implement proper data validation rules and policies to ensure data accuracy and completeness. Evaluate the location of your data. Automation will help you save time and costs as well as undertake big data initiatives.

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Astera

FEBRUARY 16, 2024

It facilitates the seamless collection, consolidation, and transformation of data from diverse sources and systems into a unified and standardized format. The advantages of this integration extend beyond mere organization; it significantly improves data quality and accuracy.

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Astera

MAY 25, 2023

In summary, data reliability is essential for any organization that depends on data to shape key business decisions and strategies. By prioritizing data quality and reliability, data can be transformed into a true business asset that drives growth and success. It achieves this through its data quality features.

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Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin.

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Astera

OCTOBER 12, 2023

The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. Furthermore, by providing real-time data health checks, the platform provides instant feedback on the data quality, enabling you to keep track of changes.

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Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

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Astera

DECEMBER 22, 2022

Online data warehouses offer many benefits, such as connectivity to multiple unstructured data sources, faster analysis, and smoother disaster recovery. A robust data integration tool simplifies connecting to cloud storage. Challenge # 2: Accessing Siloed Data. Download Your Free Ebook.

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Astera

NOVEMBER 30, 2023

The technology: Struggled to adapt to changing data types. Couldn’t handle vast volumes of data. Lacked real-time data processing capabilities. Didn’t align well with current technology or data governance requirements. Data Vault 2.0 Business-Centric Focus: Data Vault 2.0

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Astera

APRIL 24, 2024

From data ingestion and validation to transformation and preparation to loading into a data warehouse, it accelerates time-to-insight by automating data movement. With Astera’s no-code platform, ingest data from various sources into your data ecosystem without writing a single line of code.

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Astera

JUNE 3, 2024

Instantly connect to and move data between your databases Download 14-day free trial What are the benefits of using a database? Sharding involves dividing data into smaller parts (shards) that are distributed across several servers to improve processing speed for large data sets. Ready to try Astera?

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Astera

OCTOBER 30, 2023

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? AI-powered auto mapper to easily map your data from sources to destinations.

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Astera

MAY 4, 2023

Here are some more common challenges you should be aware of when employing automated document processing: Limited access to training data: The main challenge for businesses implementing AI-based document processing systems is accessing diverse and representative training data , just like Amazon.

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Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making. This schema is particularly useful for data warehouses with substantial data volumes.

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Astera

AUGUST 5, 2024

Data Quality and Integration Ensuring data accuracy, consistency, and integration from diverse sources is a primary challenge when analyzing business data. Implementing robust data governance frameworks and quality assurance processes is essential to address this.

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Domo

MAY 31, 2021

They recognize that by giving users data-exploration capabilities, companies can achieve: Improved data quality/accuracy for decision-making Increased confidence in data security and compliance Greater efficiency Broader data access Improved ability to collaborate. Getting started with self-service.

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Astera

APRIL 23, 2024

Business Glossary for Data Governance Effective data governance in higher education ensures that important information is easily accessible to stakeholders like faculty, administrators, and students, promoting collaboration and informed decision-making.

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Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

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Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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