Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. The Second Problem – Quickly Querying Data.

Big Data 266

Big Data Agile Data Analytics Data Analytics 266

Data Pine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository. However, manually updating data can be a tedious task.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository. However, manually updating data can be a tedious task.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

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

Data Pine

NOVEMBER 27, 2019

Using online data visualization tools to perform those actions is becoming an invaluable resource to produce relevant insights and create a sustainable decision-making process. Agile and flexible. Allows easy handling of a high volume and variety of data. 1 for data analytics trends in 2020. 9) Data Automation.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

FEBRUARY 21, 2025

While many finance leaders plan to address the skills gap through hiring and employee training and development, a significant percentage of leaders are also looking to data automation to bridge the gap.

IBM Maintenance 52

IBM Maintenance Finance IBM Support Artificial Intelligence 52