Tableau

APRIL 18, 2022

We’ve infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle. . Analytics data catalog. Data quality and lineage. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Astera

DECEMBER 16, 2024

Based on all these limitations, lets look at some of the best Hevo Data alternatives on the market if youre looking to build ETL/ELT data pipelines. Top 8 Hevo Data Alternatives in 2025 1. Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI. Integrate.io

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Domo

APRIL 28, 2022

Maintaining high-quality, error-free data. Many business teams do not have a clear understanding of who is responsible for maintaining data quality. And should duplicate data or errors be found, many do not know where to report quality issues. Managing permissions, access, and governance at scale.

Government 98

Government Big Data Data Governance Customer Experience 98

Astera

MARCH 31, 2023

Global enterprises have data scattered across different business units, and then further spread across different departments with every department having its own central repository. Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

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.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

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? Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JUNE 6, 2023

This architecture effectively caters to various data processing requirements. How to Build ETL Architectures To build ETL architectures, the following steps can be followed, Requirements Analysis: Analyse data sources, considering scalability, data quality, and compliance requirements.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Domo

OCTOBER 24, 2024

The analyst firm cites that organizations of all sizes pay the most attention to BI priorities associated with data security, data quality, reporting, dashboards and data visualization, and indicates that small organizations are relatively more influenced by executive management, operations, IT, customer service or sales.

Business Intelligence 52

Business Intelligence Business Intelligence Cloud Computing Customer Experience 52

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

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.

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

APRIL 10, 2023

AI and automation are revolutionizing data visualization by using machine learning algorithms to create visual representations of data that can uncover hidden insights and patterns. Data Security and Privacy Data privacy and security are critical concerns for businesses in today’s data-driven economy.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Astera

FEBRUARY 28, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

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? Start a Free Trial

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Documentation 52

Astera

DECEMBER 28, 2023

Access Control Informatica enables users to fine-tune access controls and manage permissions for data sets. They can also set permissions on database, domain, and security rule set nodes to authorize users to edit the nodes. Data Security As far as security is concerned, Informatica employs a range of measures tailored to its suite.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Access Control Informatica enables users to fine-tune access controls and manage permissions for data sets. They can also set permissions on database, domain, and security rule set nodes to authorize users to edit the nodes. Data Security As far as security is concerned, Informatica employs a range of measures tailored to its suite.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

OCTOBER 16, 2023

Data migration centralizes this dispersed data, making it easier to manage, access, and analyze. Compliance and Security: Organizations must comply with data protection regulations and ensure data security.

Data Warehouse 40

Data Warehouse Data Quality Data Security Visualization 40

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

JANUARY 24, 2024

Key Features of Astera It offers customized data quality rules so you can get to your required data faster and remove irrelevant entries more easily. It provides multiple security measures for data protection. Features built-in data quality tools, such as the Data Quality Firewall, and error detection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Insight Software

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Finance 52

Finance Data Quality Visualization Data Warehouse 52

Astera

MARCH 28, 2024

Establishing a data catalog is part of a broader data governance strategy, which includes: creating a business glossary, increasing data literacy across the company and data classification. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

JUNE 14, 2023

Aligning external and internal data formats. Handling inaccurate and abnormal data. Ensuring data quality and consistency. Loading/Integration: Establishing a robust data storage system to store all the transformed data. Ensuring data security and privacy.

Procurement 40

Procurement Data Security Monitoring Retail 40

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. 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.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

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. PII under EU GDPR or internal team data).

Government 52

Government Data Governance Master Data Management Documentation 52

Dataversity

MAY 4, 2021

Data is all-pervading in the modern world. Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].

Data Management 130

Data Management Monitoring Data Visualization Data Quality 130

Astera

SEPTEMBER 25, 2024

It provides pre-built connectors for various databases and SaaS applications, ensuring reliable and real-time data syncing. Pros Hybrid deployment – provides a fully managed solution while maintaining strict security protocols. Focus on data security with certifications, private networks, column hashing, etc.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

AUGUST 5, 2024

It uses statistical techniques to describe the basic characteristics of the data, such as mean, median, mode, standard deviation, and frequency distributions. The aim is to provide a clear understanding of what has happened in the past by transforming raw data into meaningful summaries and visualizations.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

NOVEMBER 13, 2023

Users can create reports, dashboards, and visualizations to extract meaningful insights. Data Warehouse vs. Enterprise Data Warehouse The primary difference between a data warehouse and an enterprise data warehouse lies in their scope and scale.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

MAY 4, 2023

Similarly, in the European Union, the General Data Protection Regulation (GDPR) requires that businesses ensure the lawful, fair, and transparent processing of personal data. Poor data quality can lead to biased or inaccurate results, undermining the system’s transparency and fairness.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Analysts Corner

MARCH 9, 2023

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. She is also publisher of “The Data Pub” newsletter on Substack. Why is Excel a double-edged sword?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52