Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. This empowers them to generate reports on demand and reduce their reliance on IT or data teams.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

OCTOBER 12, 2023

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. Users can identify, rectify, and track data quality issues both in the cloud and on-premises.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

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

APRIL 3, 2023

Did you know that the amount of data generated worldwide is predicted to reach a staggering 180 zettabytes by 2025? While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem.

IBM Maintenance 52

IBM Maintenance IBM cost Data Security IBM Support 52

Astera

MAY 4, 2023

Adaptive AI systems provide a foundation for building less rigid AI engineering pipelines or building AI models that can self-adapt in production, resulting in more agile and flexible systems. Try Astera Data Stack First-hand for All Your Data Management Needs Explore our Platform Sign up for a custom demo !

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. Adaptability is another important requirement. As businesses grow and evolve, so do their data requirements. Top 5 Data Preparation Tools for 2023 1.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

DECEMBER 21, 2022

Moving data warehouses to the cloud relieve businesses from worrying about insufficient storage and lowers their overhead and maintenance costs. A cloud DWH is critical for businesses that need to make quick, data-driven decisions. What are the Benefits of Cloud Data Warehouses Compared to On-premise Solutions?

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 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

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

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

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

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

Sisense

SEPTEMBER 3, 2020

Data Team: Certainly, but let’s not forget governance too. It’s also important for us to be able to control access to our data and ensure that proper policies are in place. Data management, including security, is a priority for the data team. Scalability, agility, and capacity. Data Team: Agreed.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Astera

JANUARY 12, 2024

Data Vault vs Data Mesh: A Comparison Let’s compare the two approaches to uncover the differences and similarities between them for improved understanding: Differences: Infrastructure Data Vault typically relies on a centralized infrastructure, often involving a data warehouse or similar centralized storage system.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 29, 2024

Accuracy : Minimize human error with automated data extraction and transformation. Agility : Quickly adapt to changing data requirements with flexible tools. Scalability : Effortlessly handle growing data volumes and complexity. Ready to transform your data preprocessing workflow?

Big Data 52

Big Data Retail Healthcare Finance 52

Insight Software

MAY 1, 2023

Requirements shift and evolve over time as users start to see what’s possible. The key is to stay agile and approach embedded analytics in an iterative way. Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement ODBC/JDBC Used for connectivity.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MARCH 4, 2024

What types of existing IT systems are commonly used to store data required for ESRS disclosures? Data required for ESRS disclosure can be stored across various existing IT systems, depending on the nature and source of the information. What is the best way to collect the data required for CSRD disclosure?

IBM Support 52

IBM Support IBM Maintenance Supply Chain IBM cost 52

Insight Software

SEPTEMBER 25, 2024

That can lead to errors whenever file formats change, when teams overlook certain data, or when teams manually enter values incorrectly. Updating the data requires that you perform part or all of the copy/paste processes again. Even worse, the information in the resulting reports is outdated as soon as you create the report.

IBM Support 52

IBM Support Finance IBM Maintenance Supply Chain 52

Insight Software

JULY 13, 2023

Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future. Key challengers for your Oracle users are: Capturing vast amounts of enterprise data requires a powerful and complex system.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

MARCH 6, 2024

To avoid losing data, you must back up your information frequently. Running your own technological infrastructure adds another layer of challenge–storage for both your current and backup data requires maintaining hardware and fronting the bill for the electricity it consumes.

IBM Maintenance 52

IBM Maintenance IBM cost Supply Chain IBM Support 52