article thumbnail

How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

article thumbnail

9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. If you are going to lean on data, you want to understand its quality.

Metrics 132
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Quality vs Data Condition: The Power of Context

Anmut

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

article thumbnail

Why you should care about debugging machine learning models

O'Reilly on Data

Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. If so, have fun debugging! [1]

article thumbnail

10 master data management certifications that will pay off

CIO Business Intelligence

The credential is available at the executive management, principal, mastery, associate practitioner, and foundation assistant data governance professional levels. The executive management level requires a four-day workshop and written assessment. Master requires passing a 90-minute exam at 70% or higher.

article thumbnail

Swiss Federal Railways CIO relies more on AI than concrete

CIO Business Intelligence

The third part of the program, asset management, is intended to reduce material wear and tear, and make better use of the workshops. In some cases, data scientists invent problems that the customer doesn’t even have, simply because the data allows it,” he says.

article thumbnail

Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program. The issue for this first example however is not data quality; it’s about the data. Like the Avon case study above we have seen these in the wild, working for good: Link data to outcome.