Remove Measurement Remove Predictive Modeling Remove Strategy Remove Uncertainty
article thumbnail

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. One of the primary sources of tension?

Testing 169
article thumbnail

Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

How to Set AI Goals

O'Reilly on Data

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

article thumbnail

Enhance your Lending with Predictive Analytics

BizAcuity

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

article thumbnail

Why Analytics Are Essential in Times of Crisis

Sisense

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. With smart dashboards and KPIs , the BraunAbility team is able to tie discount data from marketing platforms to sales results in order to more effectively measure the impact of any discount.

article thumbnail

How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.