Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. Both approaches aim to improve data quality and enable accurate analysis.

Data Warehouse 215

Data Warehouse Data Quality Data Analytics Data Analytics 215

Sisense

FEBRUARY 10, 2021

This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture? However, defining the data requirements was important for understanding what data you need to measure to provide analytical insights.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

DECEMBER 21, 2022

These data warehouses leverage the power of the cloud to offer enhanced scalability, flexibility, and elasticity to organizations. Today, more and more businesses are adopting cloud data warehouses as part of their data analytics and business intelligence strategies, owing to the benefits they offer.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

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 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

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

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

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 97

Healthcare Supply Chain Real-time Data Government 97

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 92

Healthcare Supply Chain Real-time Data Government 92

Cprime

MAY 4, 2023

Key Data Integration Use Cases Let’s focus on the four primary use cases that require various data integration techniques: Data ingestion Data replication Data warehouse automation Big data integration Data Ingestion The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Data Pine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52