Astera

FEBRUARY 27, 2024

It also supports predictive and prescriptive analytics, forecasting future outcomes and recommending optimal actions based on data insights. Enhancing Data Quality A data warehouse ensures high data quality by employing techniques such as data cleansing, validation, integration, and standardization during the ETL process.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JANUARY 12, 2024

Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams. However, governance remains essential in a Data Mesh approach to ensure data quality and compliance with organizational standards.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

MAY 8, 2024

Improved Data Quality and Governance: Access to high-quality data is crucial for making informed business decisions. A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms.

Data Governance 52

Data Governance Government Healthcare Retail 52

Astera

MAY 30, 2024

Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data. Veracity: The uncertainty and reliability of data. Veracity addresses the trustworthiness and integrity of the data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Timo Elliott

JANUARY 22, 2019

We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. AI-assisted data discovery can automatically mine data for insights and propose appropriate views of what’s new, exceptional, or different.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Self-Serve Data Prep in Action. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Data Visualization Visualization Business Intelligence 64

Insight Software

MARCH 14, 2024

Mastering Data: Effectively Manage Your Data Download Now How Jet Analytics Enhances Microsoft Fabric Jet Analytics from insightsoftware is a complete data preparation, automation and modeling solution that enables Microsoft Dynamics customers to accelerate Dynamics ERP-ready BI projects without requiring specialist skills.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Insight Software

OCTOBER 11, 2023

A Quick Overview of Logi Symphony Download Now Here are the key gains your applications team receives with Logi Symphony: All Things Data Improve data quality and collaboration to enable consumers with the tools to readily understand their data. Manage external authentication using federated security and single sign-on.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52