Top Three Content Management System trends for 2017



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Content management software makers have managed well so far by making insignificant updates to their offerings in spite of clear indications of dissatisfaction from their target audience. Mostly, responses to requests for better products have been some updates to existing products, bug fixes, and some new features.

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Not anymore. Time has come for CMS providers to really pull their socks up and make some real difference to their offerings. The IT ecosystem has changed so much as to really shake them up from their slumber and redefine their products. The sections below describe three major trends that could dominate the CMS space this year.

Integration of CMS platforms with third-party security features

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Content management systems have failed to fulfill the security requirements of enterprises because most CMS do not have advanced security features. For example, while mandatory security requirements like password hashing and data encryption are available with all CMS, advanced (and necessary) features like SAML and WS-Federation, social logins, SOX levels of audibility, integration with other services like Salesforce and multifactor authentication is missing from almost all CMS.

Add to that the growing list of expectations that includes password less authentication, biometric security, breached password detection, and Google Authenticator. What aggravates the issue is that most CMS providers will be unable to provide these features keeping pace with the requirements of the customers. To keep pace with enterprise expectations, many CMS platforms will be integrated with third-party security features like Auth0, Stormpath, and DailyCred because those capabilities are readily available.

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Addition of machine learning capabilities

Machine learning enables computers to identify and provide important insights by examining data. With machine learning, computers know where to look for insights without being explicitly programmed to do so. While that is a useful capability to have, how can a content management software leverage such a capability? CMS offers capabilities like content rating suggested content, A/B testing, lead scoring, personalization, analytics, and social marketing and all of these capabilities can be enhanced with machine learning. For example, CMS provides suggestions for similar content to a user on the basis of persona, browsing history and habits.

Machine learning can add location awareness and different browsing habits based on the time of the day. A person may be in the habit of catching up with the latest happenings by reading the newspaper websites in the morning and business news in the evening.

Transition from monolith to Microservices architecture

For the uninitiated, Microservices is a way of developing software applications around a suite of small and independent services that have a lightweight mechanism of communicating. Content management systems, at their current state, are all monolith systems offering a plethora of features and capabilities which make it unattractive to a number of customers because they want to pay for just what they will use.

So, many providers of CMS will be seriously considering transitioning their offerings to the Microservices architecture – partially if not totally. The biggest advantage, from the viewpoint of the CMS providers, is better marketing and packaging of the products. Customers will buy just what they require. Microservices will also provide the facility to combine as many features as required.

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Jason is a software architect and loves to share his researched topics on corporate software needs to various professional blogs. Recently he is associated withDnnsoftware which has experts in CMS consulting, web development, and site migrations to the cloud.

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