ElegantJ BI

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! As and when the organization needs this type of refined analysis, the original data requirement can be handed to a data scientist, and IT professional or a business analyst to produce the type of strategic analytics the organization may require.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! As and when the organization needs this type of refined analysis, the original data requirement can be handed to a data scientist, and IT professional or a business analyst to produce the type of strategic analytics the organization may require.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

DECEMBER 21, 2022

In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 215

Data Warehouse Data Quality Data Analytics Data Analytics 215

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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