Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

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

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

The BAWorld

SEPTEMBER 18, 2024

Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

DECEMBER 7, 2023

Batch processing shines when dealing with massive data volumes, while streaming’s real-time analytics, like in fraud detection, prompt immediate action. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

Batch processing shines when dealing with massive data volumes, while streaming’s real-time analytics, like in fraud detection, prompt immediate action. Data Processing Order Batch processing lacks sequential processing guarantees, which can potentially alter the output sequence.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

NOVEMBER 13, 2023

In industries like finance, where historical data can inform investment decisions, or retail, where it helps with inventory management and demand forecasting, the ability to monitor past data records is crucial. The design simplifies data retrieval and analysis because it allows for easy and quick querying.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

JULY 13, 2023

Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization. It enables real-time data exchange and facilitates seamless communication between various systems.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

Data Pine

MAY 31, 2022

This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Every time a company moves data from the internal storage to a cloud, it is faced with being compliant with official regulations and laws.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

NOVEMBER 30, 2023

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

AUGUST 5, 2024

BI focuses on understanding past and current data for operational insights, while business analytics leverages advanced techniques to forecast future scenarios and guide data-driven decision-making. Addressing them is crucial for maximizing the benefits of business analytics.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Data Pine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. Maheshwari Lean Analytics: Use Data to Build a Better Startup Faster , by A.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Insight Software

MAY 9, 2024

Streaming data pipelines enable organizations to gain immediate insights from real-time data and respond quickly to changes in their environment. They are commonly used in scenarios such as fraud detection, predictive maintenance, real-time analytics, and personalized recommendations.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Domo

APRIL 3, 2025

As AI adapts to real-world challenges, RAG is leading the way. A report by Forbes (2025) showed that a leading online retailer experienced a 25 percent increase in customer engagement after implementing RAG-driven search and product recommendations. RAG is still developing.

Documentation 64

Documentation Healthcare E-Commerce Finance 64