Data-driven Modeling Prescriptive Analytics Strategy 
Rocket-Powered Data Science
JULY 19, 2023
I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.
Rocket-Powered Data Science
OCTOBER 6, 2023
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Rocket-Powered Data Science
MARCH 19, 2021
How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. Well, that statement was made five years ago!
AWS Big Data
MARCH 26, 2024
This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.
Smarten
APRIL 10, 2023
Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!
Cloudera
AUGUST 25, 2020
Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models. You can catch-up and read part 1 of the series, here.
Smart Data Collective
NOVEMBER 24, 2020
Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Prescriptive Analytics. Self-service BI.
Expert insights. Personalized for you.
186 
Let's personalize your content