Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. You need a real-time connected data warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Data Pine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Sisense

JANUARY 13, 2020

Whatever your department , whether you’re concerned with production, inventory, warehousing, or transportation and other logistics , knowing precisely how your operation is running and where it can be improved is essential to improving your bottom line.

Supply Chain 52

Supply Chain Embedded Analytics Pharmaceutical Data Warehouse 52

BizAcuity

APRIL 14, 2022

Have you read any of the case studies involving how Netflix and Spotfy leverage big data for creating unique customer experiences? They tell you how big data helped them create a mark in today’s world. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. Customer Experience.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

MAY 6, 2024

This helps them understand customer behavior and pinpoint buying patterns, allowing them to tailor offerings, improve customer experiences, and build brand loyalty. Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Sisense

JANUARY 6, 2020

BI and analytics is used across multiple functions: marketing, sales, customer success, product, distribution, operations and logistics to name a few. To achieve this, first requires getting the data into a form that delivers insights. Then, use a data model to model the data into a single unified source of truth.

Data Modelling 91

Data Modelling Data Warehouse Logistics Customer Experience 91

Actian

AUGUST 27, 2019

As ML and AI become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses when it comes to the need to feed data into algorithms that are making or supporting real-time decisions and automation.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40