datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard?

Dashboards 235

Dashboards Interactive Reporting KPI 235

erwin

APRIL 18, 2019

California Consumer Privacy Act (CCPA) compliance shares many of the same requirements in the European Unions’ General Data Protection Regulation (GDPR). Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. It also supplies insights to NBC’s production team.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. It also supplies insights to NBC’s production team.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

Ontotext

MAY 5, 2023

Data Interoperability Ontologies can also facilitate the data sharing and integrations across various financial systems (banks, investment firms and regulatory agencies), by providing a common vocabulary to describe and exchange data. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

AUGUST 11, 2023

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly.

Software 68

Software Manufacturing Internet of Things Cost-Benefit 68

IBM Big Data Hub

JUNE 14, 2023

The IIoT not only allows internet-connected smart assets to communicate and share diagnostic data, enabling instantaneous system and asset comparisons, but it also helps manufacturers make more informed decisions about the entire mass production operation.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case.

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Establishing a data governance program can feel like an overwhelming task, especially at the beginning.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

FineReport

JUNE 7, 2023

Risk Management : The risk management section summarizes all anticipated risks, enabling stakeholders to gain a comprehensive understanding of the project’s risk landscape. Summary : The summary section provides readers with a concise overview of the key takeaways from the report.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Smart Data Collective

OCTOBER 25, 2023

Simply speaking, BI is a set of technologies, processes, and tools that help businesses collect, process, and analyze data to make informed decisions. Relational databases emerged in the 1970s, enabling more advanced data management. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven Metrics 122

CIO Business Intelligence

APRIL 12, 2022

Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. For instance, data logging company Logmore has come up with data logging devices with QR tags attached to the sensors. The future of the supply chain is IoT-driven.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

Alation

NOVEMBER 11, 2021

This is mostly due to cost-saving and data sharing benefits. As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. This framework maintains compliance and democratizes data. Border Movement.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 3, 2024

With the complexities of consolidation being both time-consuming and intricate, the decision to migrate to the cloud isn’t a matter of ‘if’ but ‘when’ Cloud solutions offer centralized data management, eliminating scattered spreadsheets and manual input, ensuring consistent and accurate data organization-wide.

Reporting 52

Reporting Cost-Benefit Forecasting Software 52