Data Requirement, Innovation and Retail - Business Analysis Digest

What is big data and why is it important to Business ?

Analysts Corner

APRIL 25, 2023

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? Healthcare providers can use big data to analyse patient data to improve treatment outcomes and reduce costs.

Big Data

Big Data Retail Customer Experience Customer Experience

How to Bring Your Data Management Back to Its Prime?

Astera

SEPTEMBER 27, 2024

Today, data is a strategic asset for technical experts and business users. For instance, with millions of transactions happening every day, retailers can’t afford to wait days or weeks to analyze customer trends. Smart data pipelines. They adjust to changes in data sources and structures without missing a ny information.

Data Management

Data Management Innovation Retail Real-time Data

How AI is Changing the Data Integration Process

Astera

MAY 9, 2023

It utilizes advanced data-matching algorithms that identify matching data elements across different data sources and automatically map s them to the correct location in the target system. These algorithms are particularly useful when dealing with data sources that have different data formats or structures.

Healthcare

Healthcare Retail Finance Data Quality

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Data Integrations and Use Cases

The BAWorld

SEPTEMBER 18, 2024

Properly executed, data integration cuts IT costs and frees up resources, improves data quality, and ignites innovation—all without systems or data architectures needing massive rework. How does data integration work? Sometimes this occurs as a result of merger and acquisition activity.

Data Warehouse

Data Warehouse Finance Data Architecture Banking

Fundamentals of Data Analytics

The BAWorld

NOVEMBER 24, 2023

The blog discusses key elements including tools, applications, future trends, and fundamentals of data analytics, providing comprehensive insights for professionals and enthusiasts in the field. A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month.

Data Analytics

Data Analytics Data Analytics E-Commerce Predictive Analytics

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Astera

SEPTEMBER 4, 2024

This helps your teams retrieve, understand, manage, and utilize their data assets and stack (spread across domains as data microservices), empowering them to steer data-driven initiatives and innovation. In other words, data mesh lets your teams treat data as a product. That’s where Astera comes in.

Data Architecture

Data Architecture Data Governance Government Data Discovery

What is Data Preprocessing? Definition, Importance, and Steps

Astera

APRIL 29, 2024

Data profiling involves examining the data using summary statistics and distributions to understand its structure, content, and quality. Example: A retail manager analyzes a dataset of customer purchases to find average spending, most common items, and times of purchase to devise a data-driven marketing strategy.

Big Data

Big Data Retail Healthcare Data Quality

How To Create Data Reports That Will Skyrocket Your Business Performance

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

Visualization Retail Data Visualization Government

Snowflake ETL Tools: Top 7 Options to Consider in 2024

Astera

MARCH 11, 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach.

Data Warehouse

Data Warehouse Documentation Monitoring Data Quality

Data Warehouse vs. Database: Understanding the Differences

Astera

NOVEMBER 1, 2023

This process requires careful planning and implementation to ensure the integrated data is accurate, consistent, and reliable. Subject-Oriented: The subject-oriented nature of data warehouses allows organizations to focus on specific business areas.

Data Warehouse

Data Warehouse Real-time Data E-Commerce Data Governance

Data Modeling: Techniques, Best Practices, & Why It Matters?

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

Data Modelling Retail Documentation Visualization

How AI Is Transforming the Future of Business Intelligence and Analytics

Astera

MAY 4, 2023

As AI technology continues to evolve and mature, its integration into business intelligence and analytics unlocks new opportunities for growth and innovation. Without proper data management, companies struggle to access and use data required for AI implementation, which can lead to poor results or even failure.

Business Intelligence

Business Intelligence Business Intelligence Predictive Analytics Artificial Intelligence

Data Integration 101: Understanding The Basics

Astera

SEPTEMBER 20, 2023

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. But what exactly does data integration mean?

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

Data Integration 101: Understanding The Basics

Astera

SEPTEMBER 20, 2023

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. But what exactly does data integration mean?

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

What Is Embedded Analytics?

Insight Software

MAY 1, 2023

Retail and Wholesale are the next that are best represented. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Visual Analytics Users are given data from which they can uncover new insights.

Embedded Analytics

Embedded Analytics IBM Support IBM Maintenance IBM cost

Business Analysis Digest

What is big data and why is it important to Business ?

How to Bring Your Data Management Back to Its Prime?

Webinars

Trending Sources

How AI is Changing the Data Integration Process

Webinars

Data Integrations and Use Cases

Fundamentals of Data Analytics

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

What is Data Preprocessing? Definition, Importance, and Steps

How To Create Data Reports That Will Skyrocket Your Business Performance

Snowflake ETL Tools: Top 7 Options to Consider in 2024

Data Warehouse vs. Database: Understanding the Differences

Data Modeling: Techniques, Best Practices, & Why It Matters?

How AI Is Transforming the Future of Business Intelligence and Analytics

Data Integration 101: Understanding The Basics

Data Integration 101: Understanding The Basics

What Is Embedded Analytics?

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