Astera

AUGUST 1, 2023

This eliminates the need for businesses to individually establish and maintain connections with each trading partner, saving both time and effort. Enhanced Security: VANs prioritize data security by implementing robust measures such as encryption and digital signatures.

Documentation 52

Documentation Data Security Digital Banking 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Step 2: Data Collection and Integration Once the business objectives are defined, the next step is to identify and collect the relevant data sources. This may involve data from internal systems, external sources, or third-party data providers. Overcoming these challenges is essential for the success of BI initiatives.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Insight Software

FEBRUARY 25, 2025

By cleansing data (removing duplicates, correcting inaccuracies, and filling in missing information), organizations can improve operational efficiency and make more informed decisions. Data cleansing is a more specific subset that focuses on correcting or deleting inaccurate records to improve data integrity.

Finance 52

Finance Data Quality Visualization Data Warehouse 52

Astera

OCTOBER 12, 2023

By offering agile data cleansing and correction capabilities, the tool empowers you to access trusted, accurate, and consistent data for reliable insights. The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

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

Insight Software

FEBRUARY 6, 2024

We’ve listened to your requests and crafted a solution that eliminates complexity and empowers you to focus on what matters – gaining actionable insights from your data. Moving forward, Logi Symphony will be the single reference point for embedded analytics within our offerings.

Embedded Analytics 52

Embedded Analytics Data Discovery Visualization User Experience 52

GAVS Technology

FEBRUARY 17, 2025

Agentic AI with RAG combines the generative power of LLMs with real-time data retrieval, allowing AI systems to access up-to-date information from external sources. Data Retrieval: The system queries relevant, real-time data sources. Overview: What Is Agentic AI with RAG?

Healthcare 52

Healthcare Real-time Data Artificial Intelligence Documentation 52

Domo

APRIL 3, 2025

You ask an AI assistant (or chatbot) for the most recent developments in renewable energy, but it provides only generic and outdated answers, lacking references to the latest studies and statistics. This is common with the traditional large language models (LLMs) used in AI assistants: they rely on static training data.

Documentation 64

Documentation Healthcare E-Commerce Finance 64

Analysts Corner

NOVEMBER 18, 2024

The Role of AI in Enhancing Data Processes So how does AI fit into all of this? As Mike noted, what many people refer to as AI is really automation. This isn’t some trendy term; it’s a practical solution that transforms how we process data. Machine Learning algorithms analyze data patterns that humans might overlook.

Data Analytics 130

Data Analytics Data Analytics Visualization Healthcare 130