ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality 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. Employing change data capture can be an effective way to address these challenges.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 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?

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

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Operational growth and demand can be planned For many modern businesses, big data analytics for logistics and transportation is used to keep a firm grip on operational demand.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

JANUARY 2, 2024

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. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

APRIL 29, 2024

This strategic approach to data governance aligns with findings from a McKinsey survey , suggesting that companies with solid data governance strategies are twice as likely to prioritize important data — leading to better decision-making and organizational success. What is a Data Governance Strategy?

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Smart Data Collective

OCTOBER 17, 2022

It stores the data of every partner business entity in an exclusive micro-DB while storing millions of databases. It moves the data at a massive scale thereby attesting data integrity and speedier delivery. Data Pipeline: Use Cases. With the growth of big data, data management is now an ever-increasing priority.

Data Warehouse 328

Data Warehouse Big Data Procurement Data Visualization 328

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

MAY 6, 2024

Healthcare : Medical researchers analyze patient data to discover disease patterns, predict outbreaks, and personalize treatment plans. Data mining tools aid early diagnosis, drug discovery, and patient management. The Prerequisite to Data Mining: Astera Data mining requires meticulous data preparation and processing.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. Finally, the transformed data is loaded into the data warehouse for easy accessibility and analysis.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

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

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. Migration Support, Vendor Lock in & Exit Planning.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, I also look for structured processes, effective data management, good knowledge management, and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. MIGRATION SUPPORT, VENDOR LOCK-IN & EXIT PLANNING.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. MIGRATION SUPPORT, VENDOR LOCK IN & EXIT PLANNING.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. MIGRATION SUPPORT, VENDOR LOCK IN & EXIT PLANNING.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

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

Astera

FEBRUARY 9, 2024

According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. Data governance is the process of defining and implementing policies, standards, and roles for data management.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 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

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

APRIL 24, 2024

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools?

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

JANUARY 12, 2024

Collaboration and Cross-Functionality While both approaches encourage collaboration among data professionals, Data Vault does not inherently emphasize cross-functional teams. Data Vault achieves this through versioning and change management, while Data Mesh relies on domain teams to adapt their data products.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Actian

JULY 31, 2019

This challenge stems from a rather large “data-type mismatch” as well as how and where data has been incorporated into applications and business process. At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Insight Software

MAY 1, 2023

SAID ANOTHER WAY… Business intelligence is a map that you utilize to plan your route before a long road trip. By Industry Businesses from many industries use embedded analytics to make sense of their data. The program offers valuable data analysis-based services such as benchmarking and personalized fitness plans.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MARCH 4, 2024

Assess the impact of these topics on your business performance, risks, and opportunities, using quantitative and qualitative data, such as financial statements, risk assessments, scenario analysis, and strategic plans. What types of existing IT systems are commonly used to store data required for ESRS disclosures?

IBM Support 52

IBM Support IBM Maintenance Supply Chain IBM cost 52

Insight Software

JULY 13, 2023

And it’s not just the accuracy of your business data but also the speed at which you can extract insights and share them with business leaders. Oracle enterprise resource planning (ERP) software holds vast amounts of data. Due to the complexity, accessing data in Oracle is often manual and time-consuming.

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. Ready to plan your cloud migration?

IBM Maintenance 52

IBM Maintenance IBM cost Supply Chain IBM Support 52