There have never been more ways to connect with customers—and it’s never been more challenging.
That’s why forward-thinking companies are integrating data across channels. And they’re doing it
now... Page 12
Cloud ALM, Cloud security, Architecture and platforms, SLAs and contracts, Private/hybrid cloud, IaaS, Oracle and cloud, SAP and cloud, Salesforce CRM, Mobile cloud computing
Strategy, ERP, Office/productivity, CRM, BI, HR, CPM, ECM, Enterprise collaboration software
Strategy, Development, Amazon Web Services
Application and data integration, Platforms, Cloud BPM
Development and deployment, SOA, Cloud-based testing, Web applications
Enterprise Hadoop: Ready for prime time?
E-Book from: SearchBusinessAnalytics
Market trends tell the future of predictive analytics deployments
Tap into enterprise data governance for business value
Big data deployments: Maximizing their value, minimizing mistakes
Operational analytics: Delivering insights on the fly
BI research benchmark report: BI in the cloud
Marketing automation can alienate or anger customers if data is poorly integrated between marketing automation systems and other tools, such as CRM software.
Marketing and sales departments need a consistent way to share knowledge, so marketing automation and CRM systems need to enable knowledge exchange.
Companies need to stop viewing CRM systems as just a place to house transactions.
CPM experts offer strategies for addressing the people, processes and technology issues involved in bringing both sides together.
Users and consultants say the presence of any of these seven indicators probably means your Excel-based budgeting, planning and forecasting are ready for heavy-duty specialty tools.
Business planning often requires identifying the best option among many. Optimization software can be a big help.
George Lawton reviews what enterprise architects need to consider when developing and deploying NoSQL databases on AWS.
AWS offers GovCloud to government agencies, but a combination of the Simple Storage Service and Elastic Compute Cloud in the AWS public cloud proved suitable for the publication of federal records.
The AWS Data Pipeline streamlines data between AWS data stores, enabling admins to define, schedule and debug workflows in the AWS cloud.
Infor rolls out Infor Xi and four new cloud applications at Inforum 2014, but users are unsure how -- or whether -- to move off their ERPs.
In this Q&A, Executive Director Richard Soley explains why Cisco, IBM and other heavyweights are collaborating on interoperability testing for the industrial Internet of Things.
From the shop floor to the warehouse and throughout the supply chain, the Internet of Things promises a pipeline of real-time data to help optimize operations through lean manufacturing techniques.
There are so many tools today that make launching analytic applications simple, but this doesn't mean you can skip data governance.
Many organizations are setting their big data analytics efforts up for failure by plunging ahead without proper planning upfront, says book author Keith B. Carter.
All the excitement of analytics professionals today is attached to open source tools. Author Cory Isaacson explains why.
In spite of automated testing occurring from check-in to build, there is still a need for manual testing.
For an enterprise application, assuming our development team does lots of little changes (in two- to three-week iterations), how frequently should we do a comprehensive security examination?
Software quality metrics can either tell us what needs work or disguise the real root causes. If you want to play the testing metrics game, you have to play by the rules.
Amy Reichert discusses how to overcome concerns of managing public APIs.
Executives can't think of a mobile worker as simply one who doesn't sit in a cube. Rather, empowerment commences by assessing employee needs.
In this Q&A, Glenfield Digital Group Managing Director Richard Sojka describes lessons learned about hybrid development and software projects.