Smart Data Collective

SEPTEMBER 26, 2019

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

Big Data 255

Big Data Banking Cloud Computing Artificial Intelligence 255

CMW Lab Blog

DECEMBER 27, 2024

Intelligent BPM Suite (iBPMS) CMWLab’s iBPMS all the elements of AI and robotic process automation including RPA, enabling deeper process analysis and smarter automation. Here’s how to address these challenges: Quality Data Management : Use centralized data lakes to ensure high-quality, accessible data.

Monitoring 52

Monitoring Business Process Management Predictive Analytics Documentation 52

Whizlabs

APRIL 4, 2021

Data streaming is one of the most important requirements for businesses in the present times for various reasons. First of all, data is driving the efficiency of businesses in arriving at favorable decisions regarding operations, sales, and marketing.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you. The problems with homegrown PIM.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

Wherever your data is stored between your enterprise resource planning (ERP) and your website or your distributors’ websites, let’s call this your “homegrown” solution. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you. The problems with homegrown PIM.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Actian

FEBRUARY 24, 2020

Aggregating data for enterprise insights. Continuous improvement, be it through process analysis and optimization or supported by machine learning and artificial intelligence, requires RPA vendors to aggregate distributed data in a centralized location for analysis and the harvesting of enterprise insights.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

Insight Software

MAY 9, 2024

Streaming data pipelines enable organizations to gain immediate insights from real-time data and respond quickly to changes in their environment. Technologies used for data storage include relational databases, columnar stores, or distributed storage systems like Hadoop or cloud-based data storage.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52