CIO Business Intelligence

OCTOBER 20, 2022

Access to real-time data relies on instantaneous communication with all your IT assets, the data from which enable your teams to make better-informed decisions. Yet current endpoint practices work with data collected at an earlier point in time.

Risk 105

Risk Insurance Digital Transformation Software 105

CIO Business Intelligence

AUGUST 15, 2023

An interactive dashboard with mobile capabilities enables team members to view satellite health, each tagged asset with real-time location at the specified site, and heatmap data collected over a specified time range.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Secondly, because stakeholders.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

CIO Business Intelligence

FEBRUARY 3, 2023

The ability to suck words and numbers from images are a big help for document-heavy businesses such as insurance or banking. The biggest benefit, however, may be how RPA tools are “programmed,” or “trained” — a process by which the platforms’ robots “learn” watching business users click away.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

NOVEMBER 15, 2021

The use of specialized software can help your organization with the collection of data pertaining to KPIs and its reporting. insightsoftware’s business intelligence software has been designed to help corporations improve their tax function with these key features: Automated Data Collection.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

NOVEMBER 2, 2021

Setting up an insightful university KPI system requires three main components: effective data collection, an automated process, and realistic goals. Effective Data Collection. The most important aspect of good education KPIs lies in effective data collection. Accurate and Realistic Goals.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52