Data Quality, Data Requirement and Retail

PIM or DAM — Which software should you invest in first?

Ntara

JANUARY 13, 2025

Benefits of investing in PIM software first PIM may be more critical when you have significant compliance or regulatory data required to sell your products. In some industries, that type of data might be more critical (or more of a bottleneck to selling) than having a robust visual media library. Think e-retail.)

Retail

Retail Digital Government Data Governance

Revolutionizing Retail Invoicing: How Automated Data Extraction Can Boost Efficiency and Save 80% Time

Astera

MAY 26, 2023

In the highly competitive retail sector of today, time is of the essence. Manual data extraction processes are laborious, error-prone, and consume valuable resources that could be better utilized elsewhere. But this is where automated invoice data extraction comes to the rescue. days per invoice.

Retail

Retail Supply Chain Finance Data Quality

How AI is Changing the Data Integration Process

Astera

MAY 9, 2023

Data Quality While traditional data integration tools have been sufficient to tackle data quality issues, up till now, they can no longer handle the extent of data coming in from a myriad of sources.

Healthcare

Healthcare Retail Finance Data Quality

Webinars

From Failure to Forecasting: Smarter M&A Strategies

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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

Information Marts: Enabling Agile, Scalable, and Accurate BI

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

Agile Data Warehouse Data Quality Government

Top Data Analytics Terms You Should Know

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics

Data Analytics Data Analytics Data Warehouse Data Modelling

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

Astera

SEPTEMBER 4, 2024

Unified data governance Even with decentralized data ownership, the data mesh approach emphasizes the need for federated data governance , helping you implement shared standards, policies, and protocols across all your decentralized data domains. That’s where Astera comes in.

Data Architecture

Data Architecture Data Governance Government Data Discovery

Data Integration 101: Understanding The Basics

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

Data Warehouse Data Quality Real-time Data E-Commerce

Data Integration 101: Understanding The Basics

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

Data Warehouse Data Quality Real-time Data E-Commerce

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

The Top 7 Data Aggregation Tools in 2024

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

IBM Support IBM cost IBM Maintenance Visualization

How AI Is Transforming the Future of Business Intelligence and Analytics

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence

Business Intelligence Business Intelligence Predictive Analytics Supply Chain

Snowflake ETL Tools: Top 7 Options to Consider in 2024

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

Data Warehouse Documentation Monitoring Data Quality

ETL Batch Processing: A Comprehensive Guide

Astera

DECEMBER 7, 2023

It also provides a structured and organized way to exchange data between supply chain partners. E-commerce and Retail For e-commerce businesses, ETL aids in analyzing transactional data, customer behavior, purchase patterns, and product preferences.

Supply Chain

Supply Chain E-Commerce Data Warehouse Real-time Data

ETL Batch Processing: A Comprehensive Guide

Astera

DECEMBER 7, 2023

It also provides a structured and organized way to exchange data between supply chain partners. E-commerce and Retail For e-commerce businesses, ETL aids in analyzing transactional data, customer behavior, purchase patterns, and product preferences.

Supply Chain

Supply Chain E-Commerce Real-time Data Data Warehouse

Data Science vs Data Analytics: Key Differences

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics

Data Analytics Data Analytics Data Warehouse Healthcare

Business Analysis Digest

PIM or DAM — Which software should you invest in first?

Revolutionizing Retail Invoicing: How Automated Data Extraction Can Boost Efficiency and Save 80% Time

Webinars

Trending Sources

How AI is Changing the Data Integration Process

Webinars

Data Integrations and Use Cases

Information Marts: Enabling Agile, Scalable, and Accurate BI

Top Data Analytics Terms You Should Know

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

Data Integration 101: Understanding The Basics

Data Integration 101: Understanding The Basics

What is Data Preprocessing? Definition, Importance, and Steps

The Top 7 Data Aggregation Tools in 2024

How AI Is Transforming the Future of Business Intelligence and Analytics

Snowflake ETL Tools: Top 7 Options to Consider in 2024

ETL Batch Processing: A Comprehensive Guide

ETL Batch Processing: A Comprehensive Guide

Data Science vs Data Analytics: Key Differences

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