Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

Jet Global

FEBRUARY 21, 2024

Predictive analytics use an organization’s historical data to find patterns and predict future outcomes, putting users in a strategic position to make better business decisions. Your users will be able to confidently look forwards and build their data literacy skills across future-facing data sets, not just historical analysis.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

bridgei2i

JUNE 30, 2020

He brings deep experience supporting high tech e-commerce and retail clients in the areas of marketing, pre-sales analytics, and web analytics. Prior to that, he led digital and customer analytics engagements at Dell, HP, and GE. And the customers are avoiding the risk of exposure. Thank you, Suvodip.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

DataRobot Blog

NOVEMBER 8, 2022

AI in Customer Analytics: Tapping Your Data for Success. An example of this in action is one of our global clients, where we manage sales risk across their product portfolio. Download Now. Combining the Right Leading Indicators is Critical for Accurate Decision-Making.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Sisense

MAY 4, 2021

Armed with this intelligence, CSMs can more easily understand what their next best action should be, what risks and openings may arise in different customer accounts, and even forecast more accurately, so they can develop initiatives based on data that will reduce customer churn, increase retention, and boost growth.

Analytics 98

Analytics Data-driven Advertising Marketing 98

AWS Big Data

MARCH 26, 2024

You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience. Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69