How do successful companies leverage their data, people, and ideas as strategic assets in today's dynamic business environments? By freeing them from their silos and connecting them in innovative ways to drive powerful insights.
We’ve identified 11 emerging trends for 2018 that make this possible, so you can begin to transform your business.
Data literacy will gain company-wide and societal priority
The ability to read, work with, and analyze data is more critical than ever in today’s analytics economy. Recognizing this, companies will take a more structured approach to increasing data literacy, and leading software companies
will offer programs to support them.
Hybrid multi-cloud will emerge to connect the dots
2018 will bring with it new regulations that require specific data to be moved out of the cloud, requiring analytical architectures that can handle multi-cloud, multi-platform, and hybrid environments. This will become the new
There are a growing number of use cases, especially around IoT, offline mobile, and immersive analytics, where it’s more beneficial for organizations to run workloads locally. 2018 will see a dramatic increase of workloads running
outside the traditional centralized data center or cloud.
Big Data, data discovery, and data science will converge
These areas have typically been separate because their users have different tools and skill sets. However, promising progress in machine intelligence, big data indexing, and engine-to-engine integration is opening new
opportunities for a broader audience to fully explore many big, complex, and varied data sets.
Data catalogs will become the next frontier for self-service
In 2018, new ways of cataloging data will be more deeply integrated with the data preparation and analysis experience.
This will help bring it to a broader audience that is able to easily combine governed corporate data, data lakes, and external data as a service.
Need for interoperability and new business models puts focus on APIs
As data, computing, and usage become more distributed, so do corporate technology environments. Instead of end-to-end solutions, organizations will look for parts that can easily be stitched together. That means analytics
platforms will need to be fully open and interoperable, embedded in work flows, and will ultimately blur the lines between the BI applications of today and data-driven apps that fuel the analytics economy.
Blockchain hype will drive experimental applications beyond cryptocurrencies
New techniques are emerging for processing, managing, and integrating distributed data. This means new ideas to leverage blockchain and peer-to-peer technologies. 2018 will begin to see innovation move beyond cryptocurrencies to
experimental applications for analytics and data management, starting with connectivity to the blockchain ledger but ultimately providing the ability to verify lineage and authenticity of data.
Traditional analytics methods will still have value, but new approaches will emerge to enable conversational analytics. This will simplify analysis, finding insights, and storytelling so that users get to crucial data points more
easily. These technologies – helped by virtual assistants and chatbots through API integration – provide new means of interaction.
Reporting redefined. This time highly contextualized
In 2018, data reporting will start to evolve – providing both analysts and participants with highly contextualized information. Data will embed right into a user's workspace, delivering the right information to the right people
at the right time. And in that process, more people will be empowered with data and analytics than ever before.
Virtual reality devices are still too expensive for mainstream adoption, but immersive experiences can take on other formats to more deeply engage users. Through better user interfaces, large-scale digital displays, better
storytelling with data, and collaborative features, more people will be drawn to using analytics. Learn how to go beyond visualizations, and discover the secrets of storytelling.
Augmented intelligence system changes users into participants and facilitators
In 2018 and beyond, blending Artificial Intelligence (AI) with technologies such as intelligent agents, bots, and automated activities, along with traditional analytical tools such as data sets, visualization, dashboards, and
reports will make data more useful. That alone, however, isn’t enough. Instead, Augmented Intelligence, a system where machine intelligence and humans participate in a broader ecosystem to exchange ideas and learnings, holds even