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Toyota Financial Services' Intelligent Financing Decision Engine leverages machine learning and massive data sets to accelerate credit decisioning and improve customer and dealer experience.
Power BI is increasingly bringing the power of data to business users, but you may need more guardrails to get the most value from it. These are the most common things organizations get wrong.
ETL has lost the race to big data. The solution is as simple as reordering the phases of traditional process integration.
Sentiment analysis, which enables companies to determine the emotional value of communications, is now going beyond text analysis to include audio and video.
Here are 4 key actions: utilize a unified analytics platform, implement automation, simplify data access, and create an open-source foundation
Learning to tell stories about data to colleagues across the organization is a must for this fast-growing career.
BI has undergone significant transformation in recent years, retrenching its importance in the enterprise, thanks to the added benefits of AI, machine learning, NLP, and the cloud.
It's one thing to cook up a great new initiative, but making it happen requires powers of persuasion, solid partnerships, and access to genuine technical insight.
The logistics titan has created a business intelligence platform that uses advanced analytics and machine learning to support forecasting, operations visibility, optimization, and reporting.
A treasure trove of free information assets is dispersed across public and private institutions. Here's how can you use that data to drive business success.
Get more value out of your data by avoiding common pitfalls.
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