There have never been more ways to connect with customers—and it’s never been more challenging.
Find out why forward-thinking companies are integrating data across channels on page 12.
SaaS/Cloud collaboration, Collaboration platforms, Collaborative analytics, SharePoint, Portals, Social media
Cloud/SaaS ECM, Content analytics, Web content management, Workflow, ECM software platforms, Document management, Records management, Amazon Web Services
Appliances, Search engines/platforms, Text analytics & NLP
Compliance, Best practices, Strategy, Software tools, eDiscovery
Integration strategies, ECM, collaboration & search best practices, Enterprise information management (EIM) strategy
CRM & KM integration, Self-service, Customer service knowledge management, eLearning, Sales & marketing knowledge management
Zuora aims to help providers better understand their subscription customers, while Cornerstone presents predictive analytics and platform as a service.
Self-service business intelligence and analytics tools require thoughtful deployment plans to get business users to willingly integrate them into operational workflows.
Organizations have found that they can't just jump into a data lake -- it requires a strategic approach to building an architecture that can support it.
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
A data lake may seem like a clear choice -- deposit all your data in a Hadoop repository for analytics uses -- but navigating those IT waters isn't so simple, consultant Wayne Eckerson says.
As relational database management systems handle more and more data, a strategic approach to data modeling has become vital.
Businesses such as Apple, Microsoft and Google have risen to the top largely because they're founded on powerful platforms. How can companies that sell products -- like spices or sprinklers -- benefit from the platform model?
Manufacturers today rely on technology such as product data management software to manage critical product data, especially when problems arise.
It may be early in the game, but use cases demonstrate that Internet of Things pioneers are having great success with IoT-connected products.
Java was released 20 years ago this week, but Oracle isn't only looking back. Java 9 is due for release in 2016 with a variety of new features, including some from the OpenJDK project.
In this podcast, SearchOracle's Jessica Sirkin details the main discussion topic at the Collaborate 15 conference, where Oracle's cloud services push was on the top of people's minds.
With the right tools, an Oracle DBA was able to resolve a SQL performance tuning problem in minutes rather than days. Here is how he uses those tools.
This excerpt from 'Implementing SAP HANA, 2nd Edition,' explains the ins and outs of row and column storage, and how SAP HANA's approach to data storage can improve compression and performance.
Despite the newness of SAP's S/4HANA, some companies are wasting no time to implement the product. Others are taking a wait-and-see attitude.
SAP has adopted a broad mobile strategy, including development and management tools, to address the rising demand for enterprise mobile apps.
A need for data warehouses designed for large-volume data loading and complex analytical workloads led to Microsoft's Analytics Platform System.
Row-level security, a new feature for Azure SQL databases, helps Microsoft database platforms get to the same level as Oracle and DB2.
An expert offers an example of how to institute row-level security, a preview feature introduced recently by Microsoft for Azure SQL databases.