Customer Analytics Enterprise Machine Learning Prescriptive Analytics 
Rocket-Powered Data Science
JULY 14, 2023
The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.
Smart Data Collective
NOVEMBER 24, 2020
Prescriptive Analytics. In the coming years they are more likely to become a part of enterprise solutions. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. This shows why self-service BI is on the rise. SAP Lumira.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Big Data
MARCH 26, 2024
This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
Jet Global
MAY 1, 2023
According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.
Expert insights. Personalized for you.
166 
Let's personalize your content