article thumbnail

Business process reengineering (BPR) examples

IBM Big Data Hub

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. To accomplish this goal, FOA iterated quickly on both new strategies and features that would prioritize customer service and retention.

article thumbnail

How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

Develop workshops, e-learning modules, and hands-on sessions designed to familiarize employees with the fundamentals of AI and its applications within the finance sector. The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Train and upskill employees.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. Jupyter Community Workshop , Jun 22-23, Córdoba. Addressing cognitive bias with pre-mortems. That may take a while. It’s a way of leveraging human cognitive biases to produce tangible results.

article thumbnail

How Can Citizen Data Scientists Help My Business Succeed?

Smarten

To fulfill the role of Citizen Data Scientists, business users will leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.

article thumbnail

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictive analytics remain very popular with clients. where performance and data quality is imperative?