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Research: January 2016

Research, articles, and tips on CRM, Business Intelligence, ERP, supply chain management, and other enterprise applications. - Archive for January 2016

How to Identify the Right Enterprise App Distribution Channel

January 29, 2016

Updating your enterprise app distribution model? Here is how to determine which option is best for your company.

5 Open Source Predictive Analytics Tools

January 25, 2016

A predictive analytics initiative can be an expensive undertaking. Fortunately, there are some great open source predictive analytics tools.

KPIs, Collaboration Among Mobile App Best Practices

January 21, 2016

Companies with more mature mobile app strategies are more likely to use KPIs to measure mobile app success, survey finds.

8 Marketing Automation Best Practices

January 20, 2016

Aligning marketing automation with a content strategy is just one recommended marketing automation best practice.

How Should App Dev Teams Monitor End User Experience?

January 19, 2016

Application development teams can use different approaches to monitoring the end-user experience of business apps. Which one is right for …

7 Marketing Automation Companies

January 13, 2016

Interested in marketing automation? (You should be!) Familiarize yourself with seven leading marketing automation companies.

10 Mobile App Trends for 2016

January 12, 2016

When it comes to mobile app development, what can enterprises expect in 2016?

Should Chief Digital Officer Lead Digital Transformation?

January 8, 2016

Companies ahead of the digital curve are more likely than their peers to have at least two C-level executives leading digital transformation …

Application Data Management's Role in Post-Modern ERP

January 6, 2016

Post-modern ERP deployments call for a new approach to data management.

Marketing Automation's Star Is Rising

January 5, 2016

Unifying sales and marketing functions is a key marketing automation trend.

10 Data Analytics Predictions for 2016

January 4, 2016

As companies grow more reliant on data analytics, technology must keep pace with changing business needs, say data experts.