Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. Clean your data set Data cleansing is like preparing your kitchen before you start cooking.

Data Quality 105

Data Quality Data Governance Government Data Security 105

Dataversity

JULY 17, 2023

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

Data Requirement 130

Data Requirement Data Management Data Quality Data Governance 130

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?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

AUGUST 12, 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 financial data integration project, especially detecting fraud.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 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

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.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MARCH 26, 2023

Data is at the heart of the insurance industry. Vast amount of information is collected and analyzed daily for different purposes including risk assessment, product development, and making informed business decisions. Consider an insurance company that needs to extract data from a large number of PDF documents.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods.

Data Warehouse 52

Data Warehouse Finance Data Architecture Retail 52

Astera

JULY 3, 2024

This seamless integration allows businesses to quickly adapt to new data sources and technologies, enhancing flexibility and innovation. Supports decision-making A robust data framework ensures that accurate and timely information is available for decision-making.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

AUGUST 15, 2024

The modern data-driven approach comes with a host of benefits. A few major ones include better insights, more informed decision-making, and less reliance on guesswork. However, some undesirable scenarios can occur in the process of generating, accumulating, and analyzing data. This destination is typically an analytics platform.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Dataversity

MARCH 10, 2021

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. Click to learn more about author Olivia Hinkle.

Data Management 246

Data Management Data Requirement Data Quality Data Governance 246

Astera

APRIL 29, 2024

How are the data quality issues identified and resolved within the strategy? Why is a Data Governance Strategy Needed? IDC predicts that by 2025, the worldwide volume of data is expected to expand by 163 zettabytes, covering information across physical systems, devices, and clouds.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

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

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

OCTOBER 25, 2023

Data is a valuable resource that helps your business make better decisions and gain a competitive edge. But how can you make customers, rivals, and business information easily accessible to everyone in your organization? The solution is data transformation. What is Data Transformation?

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Astera

NOVEMBER 1, 2023

Banks, credit unions, insurance companies, investment companies, and various types of modern financial institutions rely on a finance data warehouse to make informed business decisions. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

SEPTEMBER 4, 2024

Unified data governance Even with decentralized data ownership, the data mesh approach emphasizes the need for federated data governance , helping you implement shared standards, policies, and protocols across all your decentralized data domains. That’s where Astera comes in.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

APRIL 28, 2023

The rise of AI has led to an explosion in the amount of available data, creating new opportunities for businesses to extract insights and make informed decisions. Grappling with the Data Management Puzzle This explosion in data has also led to challenges in managing and processing this information effectively.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

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.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

MAY 26, 2023

Automated Invoice Data Extractio n is a process that uses either logical templates or Artificial Intelligence (AI) to automatically extract data from invoices, including purchase order numbers, vendor information, and payment terms. Let’s take a look at how our retailer leverages AI and automation for invoice data extraction.

Retail 40

Retail Supply Chain Finance Data Quality 40

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. Data quality is a priority for Astera. Lastly, data pipelines prioritize maintaining high data quality.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MAY 9, 2023

Let’s look at how AI speeds up each stage of the data integration process: Data Extraction Advanced AI algorithms can easily analyze the structure and content of data sources and extract the relevant information automatically. AI also uses computer vision to extract data from images and videos.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

JULY 20, 2023

The digital era has ushered in a massive heap of data, presenting businesses with the opportunity to exchange information with their partners and stakeholders more effectively. According to an IDC study , the volume of digital data generated worldwide is projected to reach a staggering 175 zettabytes by 2025.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Netmind

MARCH 9, 2021

Have you ever made a decision based on intuition without relying on objective information? Have you ever thought that if you hadn’t rushed a decision or if you’d taken into account certain information, you would have done it differently? The data (information) we work with should start from the decisions we want to make.

Data Governance 52

Data Governance Government Data Requirement Vision 52

ElegantJ BI

SEPTEMBER 30, 2021

Data Volume, Transformation and Location Data Warehouse Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information).

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

MAY 4, 2023

Top 6 AI -Driven Strategies for Business Intelligence and Analytics Automated Data Collection Businesses today face the challenge of collecting and analyzing massive amounts of data to power their data-driven initiatives. However , a Forbes study revealed up to 84% of data can be unreliable.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Netmind

NOVEMBER 1, 2020

Have you ever made a decision based on intuition without relying on objective information? Have you ever thought that if you hadn’t rushed a decision or if you’d taken into account certain information, you would have done it differently? The data (information) we work with should start from the decisions we want to make.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

MAY 25, 2023

However, the potential benefits of harnessing big data are immense, ranging from improving business operations and customer experiences to advancing scientific research and public policy. In this blog, we will discuss the importance of big data security and the measures that can be taken to ensure it. What is Big Data Security?

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

JUNE 14, 2023

Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

FEBRUARY 7, 2024

Data Source Diversity Another component of zero-ETL is the accommodation and integration of a wide range of data sources. Organizations aim to handle diverse data sources without the need for upfront standardization. and transformations during the staging phase.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Sisense

FEBRUARY 10, 2021

Like many organizations, our utility company clients are sitting on copious amounts of data from a variety of sources, including mobile applications and streaming data captured by grid-edge technologies. However, defining the data requirements was important for understanding what data you need to measure to provide analytical insights.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52