Sisense

AUGUST 6, 2020

In this article, we’ll dig into the ways AI can help you accomplish these goals, allowing you and your team to envision the future of your product or service. As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? Improving performance with AI.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

Smarten

AUGUST 4, 2023

If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. As you consider augmented analytics solutions, be sure to thoroughly review the features and functionality for data preparation.’

Data Lake 52

Data Lake Machine Learning Data Integration Data Quality 52

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. These tools seamlessly connect and consolidate data from diverse sources, ensuring cleanliness, structure, and aggregation of data in various formats.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Data Virtualization

JULY 20, 2023

But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll. The post Logical Data Management and Data Mesh appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 40

Management Data Integration IT Data Quality 40

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

CIO Business Intelligence

AUGUST 7, 2024

As such, Regeneron employees need to access and analyze data from multiple sources to help them reduce experiments, streamline workflows, and improve process understanding and control. This platform makes high-quality data available in a way that people could start interrogating it,” says SVP and CIO Bob McCowan.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

JANUARY 24, 2024

This article was co-authored by Shail Khiyara, Founder, VOCAL COUNCIL, and Pedro Martins, Global Transformation Leader, Nokia. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

IoT 118

IoT Machine Learning Internet of Things Optimization 118