ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

APRIL 28, 2023

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Business Analysis Hub

AUGUST 22, 2023

In today's digital age, Artificial Intelligence (AI) has emerged as a game-changer for businesses worldwide. Ensure data quality and governance: AI relies heavily on data. Ensure you have high-quality data and robust data governance practices in place.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

Tableau

APRIL 6, 2022

The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. SDOH data is an absolute necessity for the effective analysis of potential health inequities and associated mitigation strategies.

Healthcare 98

Healthcare Supply Chain Real-time Data Government 98

Tableau

APRIL 6, 2022

The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. SDOH data is an absolute necessity for the effective analysis of potential health inequities and associated mitigation strategies.

Healthcare 98

Healthcare Supply Chain Real-time Data Government 98

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

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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

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 Quality 52

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? Information.

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? Information.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

JUNE 14, 2023

What is Document Data Extraction? 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

MAY 26, 2023

On average, it took the retailer 15 days (about 2 weeks) to process the invoices—from data extraction to payment. Consequently, the inefficient process was time-consuming and error-prone, causing delays in account payables, data quality discrepancies, and supply-chain disruptions.

Retail 40

Retail Supply Chain Finance Data Quality 40

Astera

AUGUST 16, 2024

Data migration is the process of selecting, extracting, preparing, and transforming data, followed by a permanent transfer to a new destination. The new destination can be a new file format, location, storage system, computing environment, database, or data center.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 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

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

JANUARY 12, 2024

Factors like data complexity, scalability, organizational culture, compliance obligations, available resources, and overall business goals should be considered to determine the right fit, enabling an organization to unlock the true value of its data assets. Data Quality Both approaches emphasize data quality and governance.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 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