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

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

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Astera

APRIL 18, 2024

A strategic approach to data management is needed to meet these demands — particularly a greater focus on high data quality and robust governance to guarantee accuracy, security, and compliance. This monitoring helps ensure continuous enhancement of data quality and governance practices.

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BA Squared

SEPTEMBER 25, 2020

We create data debt the same way and then have “bad data” or poor data quality coming in from multiple disparate processes, then we try to use AI, data analytics, and machine learning and get burned because the data inputs are not the quality needed to meet the goal of such automation.

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Userzoom

JUNE 16, 2020

As demand for remote research continues to increase, the ability to run efficient, remote unmoderated research with high quality data and low turnaround times will be critical to serving our teams and understanding our end-users. Learn when moderated or unmoderated testing is the right choice for you! Main image by Franck V.

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ElegantJ BI

MAY 13, 2022

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

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ElegantJ BI

MAY 13, 2022

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

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Finance Data Quality Data Visualization Monitoring 130

ElegantJ BI

MAY 13, 2022

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

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Insight Software

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. About insightsoftware. CCgroup for insightsoftware. Ashley Yakopec.

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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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Domo

MAY 27, 2021

2 – There were a lot of un quantified benefits, as well From improved data quality to increased customer satisfaction, there was no shortage of unquantified benefits for the Domo-using organizations that participated in the study. To download The Total Economic Impact (TEI) of Domo for Small and Medium Businesses, click here.

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Data Warehouse Financial Analysis Data Quality 93

Domo

APRIL 17, 2024

Your various software and tools collect this data. For example, when a customer: Clicks a display ad, Google collects the data. Visits your sales page, Marketo collects the data. Downloads a podcast episode, Spotify collects the data. Joins a webinar, Zoom collects the data.

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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. Welcome to December 2024’s “Book of the Month” column. This book offers readers a strong foundation in AI governance.

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Insight Software

JANUARY 20, 2021

As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Lack of proactive data management, on the other hand, can result in incompatible or inconsistent sources of information, as well as data quality problems.

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Data Pine

JANUARY 21, 2020

Download here the top benefits cheat sheet, and start reporting! Business intelligence reporting, or BI reporting, is the process of gathering data by utilizing different software and tools to extract relevant insights. Download here the top benefits cheat sheet, and start reporting! Enhanced data quality.

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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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Astera

MAY 2, 2024

The platform simplifies data operations and streamlines the entire process by automating data operations, eliminating the need for manual tasks, and reducing errors. Try it out download the 14-days trial now! Transform your data into a powerful asset with Astera's comprehensive data governance solution.

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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. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

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Astera

MARCH 31, 2023

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. Here's What You Need to Know Free Download So where does it leave the enterprise? 2. Ensuring data quality Another major challenge is improving data quality.

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Astera

JANUARY 9, 2023

Moreover, you should have complete data visibility to carry out a meaningful analysis. Data Quality. Data quality is indirectly proportional to several data sources, and conventional methods of maintaining data quality usually don’t work in multi-cloud infrastructure because of high data volume.

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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

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.

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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 12, 2024

Automating tax form data extraction is essential as it: Saves Time & Resources: Reducing manual effort and errors in data entry while increasing processing speed. Improves Accuracy & Consistency: Standardizing data extraction models minimizes variations in data quality.

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Astera

MAY 22, 2024

It ensures consistent data policies and rules are applied, creating data reliability. Building a solid data governance framework involves several key pillars. Data owners are responsible for defining how their data asset is used, creating a sense of stewardship, and promoting responsible data practices.

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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

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

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.

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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

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

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

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Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

APRIL 27, 2023

By following these steps you can streamline your data integration processes while gaining important insights to promote business growth. Poor Data Quality Data stored in multiple sources and formats can be challenging to integrate into your extract, load, and transform (ELT) process.

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Astera

MARCH 30, 2023

Incompatible Data Formats : Different teams and departments might be storing data in different structures and formats. This makes it difficult to integrate and consolidate data from various departments, resulting in issues with data quality and delays in data processing.

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Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

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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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