Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

Introduction In today’s data-driven landscape, businesses have recognized the paramount importance of harnessing the power of data to stay competitive and agile. Business Intelligence (BI) has emerged as a critical tool for organizations seeking to gain insights from their data and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

OCTOBER 30, 2023

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? Be flexible and ready to adapt to enhance your data enrichment approach.

E-Commerce 40

E-Commerce Talent Acquisition Healthcare Data Quality 40

Insight Software

MAY 9, 2024

By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making. ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

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

Astera

APRIL 10, 2023

The world of big data can unravel countless possibilities. From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. Data profiling is the first step toward achieving data quality.

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 52

Astera

MAY 8, 2023

Here are some of the obstacles that organizations face when integrating unstructured data using traditional methods: Increased costs: Traditional data management methods require extensive manual labor to extract insights from unstructured data, resulting in higher business costs.

Vision 40

Vision Data Quality Big Data Healthcare 40

Tableau

DECEMBER 7, 2020

being able to make strategic business decisions faster (54%). ? more effective communication with stakeholders (54%). ? increased cross-team collaboration (51%) and . ? making their business more agile (46%). Bank Mandiri , one of the leading financial institutions in Indonesia, is a great example of such data-driven organisations.

Banking 90

Banking Embedded Analytics Agile Healthcare 90

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 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

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

Tableau

DECEMBER 7, 2020

being able to make strategic business decisions faster (54%). ? more effective communication with stakeholders (54%). ? increased cross-team collaboration (51%) and . ? making their business more agile (46%). Bank Mandiri , one of the leading financial institutions in Indonesia, is a great example of such data-driven organisations.

Banking 52

Banking Embedded Analytics Agile Healthcare 52

Astera

APRIL 29, 2024

Data transformation can also be used to create new attributes within the dataset. Example: A healthcare data analyst leverages mathematical expressions to create new features like Body Mass Index (BMI) through existing features like height and weight. Agility : Quickly adapt to changing data requirements with flexible tools.

Big Data 52

Big Data Retail Healthcare Finance 52

Tableau

JANUARY 27, 2021

We’ll never dictate your technology stack, database preferences, or analytics strategy, so you can rely on Tableau no matter what data you have, no matter where it is. . This past year, we saw how organizations making fast and agile decisions with accurate data showed the most resilience.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

Tableau

JANUARY 27, 2021

We’ll never dictate your technology stack, database preferences, or analytics strategy, so you can rely on Tableau no matter what data you have, no matter where it is. . This past year, we saw how organizations making fast and agile decisions with accurate data showed the most resilience.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

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. That is an issue for anyone using backup services or storage.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95