ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

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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.

Data Quality 52

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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

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

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Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

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The BAWorld

MAY 11, 2024

data quality. In data science, the proverb “garbage in, garbage out” is accurate. Data that is incorrect, missing, or inconsistent might provide biased or untrustworthy models, which eventually obstruct important insights. Want to learn more about the eight data-related mistakes and how to avoid them?

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Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. You can find a blog post version of my commentary below, and a draft video of my section: What’s new with analytics and storytelling for finance teams? What typically goes wrong?

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Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. She is also publisher of “The Data Pub” newsletter on Substack. 3, 2023, I get 45.2

Data Quality 130

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Domo

APRIL 17, 2024

Then, when your data is all in one place, you can begin piecing together the larger story of how customers are moving through your funnel, as captured in your tools. Domo has the capabilities to tie the data from those different sources together to tell you the story, and it ensures data quality by having one place,” said Ali.

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ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

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ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

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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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BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

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The BAWorld

NOVEMBER 28, 2021

The objectives of using exploratory data analysis tools are in order to get insights about the data summary, identify patterns, uncover data quality issues, spot correlations, and highlight outliers for accurate analysis. Side-by-side bars are another way of visualizing categorical and quantitative variables.

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Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools?

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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.

Finance 130

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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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Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. Can handle large volumes of data. Best For: Businesses that need to visually program custom machine learning models.

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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 20, 2024

Data provenance answers questions like: What is the source of this data? Who created this data? This information helps ensure data quality, transparency, and accountability. This proactive approach enhances the overall trust in the data and streamlines data validation processes.

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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

OCTOBER 23, 2023

Whether it’s expanding marketing efforts, funding research and development, or entering new markets, the financial flexibility provided by self-service data preparation can be vital fuel for expansion. Data Integration: Data often resides in various sources and formats.

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ElegantJ BI

SEPTEMBER 1, 2021

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation.

Data Quality 130

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ElegantJ BI

SEPTEMBER 1, 2021

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation.

Data Quality 130

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Tableau

FEBRUARY 17, 2021

Users can click on one or more rows of data from a Tableau visualization to get dynamic predictions, see key drivers of predictions, and learn ways to improve predictions based on the model. For more detail on each of these integrations, check out our Einstein Discovery in Tableau blog post. .

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Astera

JANUARY 15, 2024

Visual job development: You can visually design data pipelines using pre-built components. Live feedback and data previews: As you build pipelines, Matillion provides real-time feedback and data previews. Astera’s key features include: No-code data pipeline builder with a drag-and-drop UI.

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Astera

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?

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Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

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Astera

OCTOBER 26, 2023

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 Data cleansing is critical for any organization that relies on accurate data. Interactive Data Profiling: Gain insights into your data visually.

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BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

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Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

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Astera

FEBRUARY 26, 2024

Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.

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Insight Software

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

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Astera

OCTOBER 24, 2023

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. This highlights the critical importance of investing in data quality and efficient data preparation processes; they form the foundation for successful machine learning projects.

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Astera

OCTOBER 10, 2023

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. What is Data Mapping? Data mapping connects data elements from one data source to another.

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