Astera

MARCH 19, 2024

Implementing security measures to protect data from unauthorized access, breaches, or misuse is crucial for maintaining confidentiality and compliance with regulations. Data Governance Vs. Data Management What’s the difference between data governance and data management?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

The BAWorld

MARCH 13, 2024

Use Cases & Scenarios: Mapping User Journeys Delineating how users interact with systems, use cases and scenarios document specific activities, inputs, outputs, and anticipated results. It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Astera

MAY 6, 2024

To assist users in navigating this choice, the following guide outlines the essential considerations for choosing a data mining tool that aligns with their specific needs: 1. Documentation and Training : Adequate learning materials and troubleshooting guides are essential for mastering the tool and resolving potential issues.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

APRIL 29, 2024

It would focus on what the customer wants, how the market is behaving, and what other competitors are doing, all through the lens of fresh, accurate data. In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

JUNE 14, 2023

In a nutshell, these softwares evaluate invoices for certain pre-defined criteria and extracts the necessary data automatically. Many softwares use Optical Character Recognition (OCR) techniques to recognize the text from the document, combined with natural language processing algorithms to extract key pieces of data from the invoice.

Documentation 40

Documentation Digital Banking Data Security 40

Juice Analytics

MAY 19, 2021

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Astera

OCTOBER 12, 2023

Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs. Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

MAY 11, 2023

An integral part of this process is data extraction, which involves collecting data from multiple sources and transforming it into a usable format. Traditionally, data extraction is performed manually, which involves hand-keying data from different sources and formats, such as spreadsheets, websites, and documents.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Its efficiency diminishes notably in such cases.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

FEBRUARY 1, 2024

With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Insight Software

JANUARY 17, 2022

The BI solutions you evaluate should be compatible with your current data environment, while at the same time have enough flexibility to meet future demands as your data architecture evolves. Look for one that supports onboarding, gives you a dedicated account management, and plenty of documentation and support offerings.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Cprime

MAY 4, 2023

Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights. What is Data Integration? Developers may use SQL to code a data integration system by hand.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Astera

JULY 18, 2023

Scalability : The best part about data wrangling tools is their ability to handle large data volumes, allowing seamless scalability. These tools employ optimized algorithms and parallel processing techniques, enabling faster data processing and analysis. The tool can save you countless hours of manual work.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Actian

JULY 31, 2019

As most manual processes utilizing paper moved to digital records management, content management systems emerged as a means to manage all the unstructured documents from knowledge workers or which the expanded functionality within ERP and personal computing systems autogenerated.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Data Pine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Data Pine

OCTOBER 30, 2019

Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, without proper data management processes at hand. The rise of innovative report tools means you can create data reports people love to read.

Visualization 51

Visualization Retail Data Visualization Government 51

Insight Software

MAY 1, 2023

Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data. Read carefully.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52