Enterprise Applications

Blockchain for business: 5 promising pilots

Big brands in financial services, logistics and other sectors are betting on blockchainu2019s potential to facilitate transactions and verify provenance of products.

4 steps to RPA success

As companies move beyond limited RPA pilots to full-blown implementations, there are four practices to keep in mind to ensure things stay on track.

9 key takeaways from SAP TechEd Las Vegas

SAP seeks to simplify app development on its cloud platform, while helping customers make the most of machine learning.

RPA – useful for business, or more trouble than it’s worth?

In certain industries - or even specific departments within any enterprise organization - Robotic Process Automation can free employees from repetitive, manual tasks so they can focus on more important, higher-value work. But is it worth the investme

Microsoft expands Dynamics 365 with e-commerce, in-store modules

Microsoft expands Dynamics 365 with e-commerce, in-store modules

Microsoft is tailoring its CRM tool for retail, and tuning it to deliver more insights from data.

Tableau explains your data with new natural-language tool

Tableau latest self-service capability, Explain Data, provide users with automated analysis of their data visualizations in ways they can readily understand.

Oracle goes all in on cloud automation

Oracle adds more automation, business networking, recruitment tools and a plethora of digital assistants to its cloud apps.

Redesigning business processes for digital success

CIOs find themselves in a unique position to re-imagine how their organizations operate in this digital age. Here's how to develop a vision for business process reengineering and deliver.

Power BI vs. Tableau: Self-service analytics tools compared

Self-service business intelligence has become the go-to tool for business decisions. Here's how Power BI and Tableau stack up on features and pricing.

Top 10 BI data visualization tools

Visual analytics is the core of business intelligence. Here are the tools you need to see through the data.