Almost 20 days left and 2016 will arrive. Everyone is making a new year wish list or making some resolutions. But let us first of all thanks 2015 for being good to us in terms of web development, technology and especially, business intelligence. This concept has made company’s data crystal clear to their employees and as a consequence, more people used this data to get their work done. Different patterns about this conception are evolving and therefore, leading to cultural changes at some workplaces. This positive change is giving rise to new techniques that are used to drive value from data.
Following is the list of some predictions about business intelligence trends that could happen in 2016. Have a look:There is a lot saying about governance and self-service analytics being natural enemies, but it will be shocking also seeing both having a drink together. Therefore, it can be finally concluded that the war between two is over and the bridge between technology and business is building up. Organizations have realized that governance, when done right, can help develop the analytics culture and fulfill the businesses’ needs.
Data is changing the conversation content everywhere – in the boards meetings, social media and most importantly, in the media. Co-operates are envisioning their data to explore and discover sights, share their stories and experiences with data experts as well as non-experts. And as data usage grows, people would like to use it in their professional and personal lives. Even companies will hunt for candidates who can think and relate with data. Visual analytics will be the intellectual language, entrusting people to reach and analyze insights quickly, conspire meaningfully and build a community around data.
Self-service analytics tools have changed people’s expectations positively. In 2016, people will look for approval across the data continuum as more millennial will enter and rock the floor. For business users to stay constant, they must be able to draw certain data on the fly. This leads to demand of self-service data preparation tools and self-service data warehouses as an extension self-service analytics.
There is no doubt in the fact that now-a-days companies demand agile analytics. They want their data to reach right kind of people, and quickly. This is almost similar to life challenging as the data lives in many places and working across data sources dreary, impossible or both. In 2016, there will be new players in the court of data integration space. And with the rise of sophisticated tools and additional new data resources, companies will however, stop trying to assemble every byte of data in the same place. Data integration will get exciting and explorers will connect to each data set to join with more agile tools and methods.