From contextual analytics to accessible data analysis, we’ve compiled a list of trends affecting the world of data and how companies access and strategically use it. Here are the five trends that are “in” for 2017. (And in case you missed it, read our last blog post for the five trends that are out.)
In: Enterprise search systems worldwide.
While enterprise search is an important business process here in the United States, these solutions haven’t yet hit countries like India and China. Even places like the UK and European Union are still only now beginning to implement these systems. In 2017 we’ll see more non-U.S. organizations taking advantage of these new tools.
In: Mobile access.
Pure and simple, the world is mobile, including the business world. People aren’t just checking emails from their phone, either. Search and analytics has to be available on mobile devices, from which business users are doing work on the go. Enterprise search tools must be available for mobile users to be effective.
In: Access to apps.
While Apple pioneered the idea of the app store, companies are now building their own and making them available to their users. This growing abundance of enterprise applications means more systems that search and analytics tools will need to access when necessary.
In: Monetizing data.
Not only will access to data drive better insights for users, but this access can potentially lead to enterprise monetizing the data. New enterprise search systems make previously unknowable, unsearchable and unstructured data accessible for the first time, which opens up new revenue streams for companies that were not possible before.
In: Contextual analytics.
Today’s analytics engines use machine learning to get smarter over time about each individual user. To get the more actionable information, the technology must comprehend immediate and strategic context. For example, a search application that understands a user is working from a mobile device and is geolocated to an airport could adjust its results to provide preview snippets of the information most relevant to the query, rather than whole lists of results, because the user is likely on the go with little time to consume information.
And there you have it. These are the trends that are driving the development and usage of today’s data solutions.