Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. 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

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

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

MAY 8, 2024

Understanding the Business Glossary A business glossary is a repository of data-related terms and definitions specific to a company’s industry, processes, and products. It includes industry-specific jargon, acronyms, and business-specific terminologies, all systematically organized for easy reference. Interested in learning more?

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Astera

JANUARY 11, 2024

Understanding the Shift from Siloed Data to Centralized Data Many organizations still operate with siloed financial data, limiting their ability to harness analytics’ power fully. In such cases, data isn’t easily accessible or shared across the organization. Sign up for a demo or a 14-day- free trial now!

Data Warehouse 52

Data Warehouse Finance Visualization Planning 52

Astera

JULY 20, 2023

By aligning data elements and formats, EDI mapping brings clarity, efficiency, and simplicity to business networks, streamlining operations and fostering seamless communication. Understanding EDI Mapping EDI mapping refers to the process of matching the data structure and format of two systems that are exchanging EDI documents.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 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 28, 2024

Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance. On the other hand, a data dictionary typically provides technical metadata and is commonly used as a reference for data modeling and database design.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

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

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.

Documentation 52

Documentation Data Quality Digital Monitoring 52

Astera

FEBRUARY 2, 2024

This growth is largely due to the crucial role played by Form Processing, a technology that has emerged as a fundamental element in the efficient extraction and processing of valuable insights from both structured and unstructured data. Ensuring data accuracy and completeness becomes a challenge when dealing with inconsistent data quality.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

DECEMBER 3, 2024

This is because of their complex and varied layouts, as PDFs store data as visual elements rather than structured formats, so tables may appear as images, making it challenging for extraction tools to identify rows, columns, and relationships between cells. Our drag-and-drop, no-code interface makes data extraction easier than ever.

Documentation 52

Documentation Data Quality Business Intelligence Business Intelligence 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. Sign up for a demo or a 14-day- free trial now!

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ?

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

DECEMBER 29, 2023

SQL Server Data Warehouse Modeling Techniques In the context of a data warehouse, data modeling, or simply modeling, refers to the process of structuring and organizing data to facilitate storage, retrieval, and analysis. Ensure data quality throughout. Ensure data quality throughout.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

SQL Server Data Warehouse Modeling Techniques In the context of a data warehouse, data modeling, or simply modeling, refers to the process of structuring and organizing data to facilitate storage, retrieval, and analysis. Ensure data quality throughout. Ensure data quality throughout.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

JULY 7, 2023

Cash flow refers to the consistent inflow and outflow of money within a financial service business, which is of utmost importance for its survival. Automate Data Extraction With Astera ReportMiner View Demo

Finance 40

Finance Data Quality Data Automation Documentation 40

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data integration and warehousing. Ready to build end-to-end ETL pipelines with a 100% no-code data pipeline builder? That’s ETL batch processing. What is ETL?

Supply Chain 52

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

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data warehousing and integration. Ready to build end-to-end ETL pipelines with a 100% no-code data pipeline builder? That’s ETL batch processing. What is ETL?

Supply Chain 52

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

Astera

OCTOBER 30, 2023

It does more than just fill in the blanks by including missing data, and addressing inaccurate information. It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. AI-powered auto mapper to easily map your data from sources to destinations.

E-Commerce 40

E-Commerce Talent Acquisition Data Quality Healthcare 40

Astera

MARCH 11, 2024

This is facilitated by the automatic handling of indexing and optimization, which removes the traditional administrative overhead associated with managing a data warehouse. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code. What are Snowflake ETL Tools?

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. Sign up for a demo or a 14-day- free trial now!

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Astera

JUNE 3, 2024

The right database for your organization will be the one that caters to its specific requirements, such as unstructured data management , accommodating large data volumes, fast data retrieval or better data relationship mapping. It’s a model of how your data will look. Ready to try Astera?

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

OCTOBER 31, 2023

To deal with these issues effectively, we must identify the extent of these problems and devise strategies to improve data quality. Data exploration helps us understand a dataset’s contents, structure, and relationships with other data sets, unlocking critical insights on how to improve data quality.

Visualization 40

Visualization Data Quality Monitoring Information Technology 40

Astera

APRIL 23, 2024

For example, in the academic department, “student success” typically refers to achieving high grades, completing courses on time, and making satisfactory progress toward degree completion. With this feature, universities can speed up enrollment by generating data reports on student enrollment trends without IT expertise.

Government 40

Government Planning Data Governance Data Management 40

Insight Software

MAY 9, 2024

ETL is a specific type of data pipeline that focuses on the process of extracting data from sources, transforming it, and loading it into a destination, such as a data warehouse or data lake. ETL is primarily used for data warehousing and business intelligence applications. How is ELT different from ETL?

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

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.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

MARCH 4, 2024

To determine which elements of the CSRD and the ESRS you need to comply with, you will have to conduct a materiality assessment, which involves the following steps: Identify the ESG topics that are relevant for your sector and your business model, using the ESRS as a reference. Download our ESG Reporting Buyer’s Guide or request a demo today.

IBM Support 52

IBM Support IBM Maintenance Supply Chain IBM cost 52

Insight Software

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Insight Software

MAY 16, 2022

Use dynamic text based on variables you define to ensure all reports always reference the correct narrative or single data point. This means real-time validation on XBRL documents to instantly flag any errors to improve overall quality in first and subsequent filings. I'd like to see a demo of insightsoftware solutions.

IBM Maintenance 52

IBM Maintenance IBM Support Finance Documentation 52