FineReport

MARCH 24, 2024

Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. BI tools : Enables data aggregation, analysis, and visualization through dashboards and shared reports. Employs data analysts for risk management, customer analytics, and financial forecasting.

Statistics 52

Statistics Data mining Visualization Reporting 52

Rocket-Powered Data Science

JULY 14, 2023

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings. (c) These may not be high risk.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

AWS Big Data

JANUARY 24, 2023

Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results.

Analytics 58

Analytics Data-driven Management Reporting 58

Sisense

AUGUST 19, 2021

Imagination is an underrated part of making analytics in your product really meaningful for users. Don’t settle for just dropping a data point or dashboard into your application. Embedded analytics will revolutionize every industry.

ROI 98

ROI Cost-Benefit Marketing Testing 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. The following diagram shows a sample C360 dashboard built on Amazon QuickSight.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

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

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