Astera

JUNE 14, 2023

B2B Data Integration helps businesses streamline operations by effectively managing information from various sources. However, gathering and integrating data from these diverse sources can be complex due to regulations and economic variations. What Is B2B Data Integration? Ensuring data quality and consistency.

Procurement 52

Procurement Data Security Retail Monitoring 52

Astera

MAY 13, 2024

Once aggregated, data is generally stored in a data warehouse. Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall. Better Insights Aggregated data unlocks deeper insights into your business.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Tableau

APRIL 18, 2022

Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling.

Data Quality 100

Data Quality Government Artificial Intelligence Data Warehouse 100

Tableau

APRIL 18, 2022

Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use. Data quality and lineage. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

Astera

SEPTEMBER 1, 2023

In recent years, data warehouses have emerged as foundational tools that allow insurance companies to efficiently manage, analyze, and leverage the immense volume of data at their disposal for seamless reporting and analytics. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

Data Warehouse 40

Data Warehouse Data Modelling Data Security Data Quality 40

Astera

APRIL 7, 2023

Data Quality Metrics: healthcare data warehouses can establish data quality metrics to measure quality and consistency such as completeness, accuracy, and timeliness. These metrics can then be used to monitor and improve data quality. In 2020 alone, healthcare data breaches in the U.S.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

JANUARY 24, 2024

In doing so, Reverse ETL (or rETL) processes enable non-technical stakeholders to utilize formatted data for multiple purposes—including forecasting, operational decision-making, customer behavior analysis, and more. It has orchestration features for scheduling, logging and monitoring, and error handling. What is a Reverse ETL Tool?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 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

MARCH 28, 2024

A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data. Data security is also a part of this field.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

JUNE 3, 2024

Database definition A database is a structured collection of data designed to store, manage, and retrieve information. In a database, also denoted as DB, data is normally arranged within tables, defined by rows and columns, like a spreadsheet layout that facilitates data organization.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Sisense

JUNE 26, 2019

You need to find the right data sets, clean them up, and test out interoperability. But you also need to deliver comprehensible insights, make changes on the fly, and continue to deliver the most up-to-date information from the latest data available. You can use it for so many different ways of modeling your data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Marutitech

NOVEMBER 13, 2020

If you’re looking to find the best low code tools for your specific organizational needs, here we’re discussing the top 15 low-code platforms along with their features, pros, and cons to help you make an informed decision. 1. Offers declarative data modeling. Robust data security and synchronization.

Visualization 98

Visualization User Experience Documentation Agile 98

Astera

MAY 26, 2023

To better illustrate with an example, Suppose you are building an e-commerce website and you need to store information about products, such as their name, description, price, and availability. In MongoDB, you could simply insert a document containing all the necessary information for each product, without having to define a schema beforehand.

E-Commerce 40

E-Commerce Documentation Data Security Data Quality 40

Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52