Analytics

The two tools you must harness right now to rise to today’s challenges

The pandemic-driven shift to virtual business merely accelerated existing, disruptive trends. Adapting to what's next comes down to two seemingly disparate components.

9 tools that make data science easier

New tools bundle data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.

TIAA reduces client service complexity with digital twin

Onboarding new institutional clients to the non-profit financial services provider's Outsourced Services was a highly complex and manual task, but a digital twin powered by a graph database has helped automate and streamline the process.

IBM adds AI-fueled forecasting to Planning Analytics platform

The addition to the Planning Analytics portfolio gives SMBs and business units in the enterprise an on-ramp to integrated, AI-powered planning and forecasting without relying on IT support.

Kaiser Permanente streamlines operations with analytics

Kaiser Permanente streamlines operations with analytics

The healthcare consortium has reduced patient waiting times and the amount of time hospital leaders spend manually preparing data for operational activities with data analytics.

7 sure-fire ways to sour the business on analytics

True data value depends on business insights. Hereu2019s how to ensure your analytics initiatives make sense to those who will benefit the most.

Real-time analytics: 4 success stories

These five companies are using real-time analytics to improve agility, respond to customers as needs change, optimize pricing, and identify inefficiencies affecting their bottom line.

Tyson enlists predictive software to keep meat plants open amid coronavirus

The nationu2019s top meat processor has turned to machine learning to model the potential spread of coronavirus in its plants and has deployed computer vision to monitor worker health.

12 tips for machine learning training

To make the most of machine learning you have to train your models right. Here's how to get reliable results from your data.

6 tips for avoiding data analytics disaster

Given its promise in driving business value, itu2019s no surprise that data analytics remains a top IT investment u2014 but success is no guarantee.