Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility. Risk Management. Conclusion.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Cloudera

OCTOBER 28, 2021

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception. Another example is fleet management.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

IBM Big Data Hub

APRIL 4, 2024

Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. Business process management examples BPM can help improve overall business operations by optimizing various business processes.

Management 62

Management Cost-Benefit Metrics Consulting 62

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Out operating model respects programs, projects, and product management methodologies.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Smart Data Collective

AUGUST 14, 2022

With a reliable DLP solution, you can rid your company’s network of weakly guarded entry points for attackers by keeping all networks, devices, and storage options secured and optimized. Also, data can be accidentally leaked from storage due to human error. Let’s go through them together. Network Protection for DLP.

Risk 124

Risk Cost-Benefit Software Reporting 124

CIO Business Intelligence

APRIL 12, 2022

This takes the sensors closer to the actual goods and improves the quality and adds to the total amount of data, which ultimately enables everyone in the supply chain to make better decisions, so waste is reduced and processes are optimized.”. That brings us to the value of timely data and analytics.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

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