10 Business Intelligence trends for 2017

The increased use of data has enabled businesses to optimize their operations in a whole new way. Data has become the lifeblood of organizations, allowing them to innovate faster and make more informed decisions and have a competitive edge on those who choose not to look at the data. All this is made possible by allowing BI to become a part of everyone’s workday, not just the IT teams. We should get rid of the tension between control and agility, and self service and governance. In 2017 IT and BI are partnering together ever more tightly to maximize the impact of data. Here are some predictions made by business intelligence professionals on how BI will change and how these afore mentioned tensions are going to be relieved.

1-    Governing data is no longer a job for the IT people. Scalable and trusted platforms empower the non-analysts to explore data and use it. In 2017 modern BI is the top priority for global enterprises, early stage startups and everything in between.

2-    Collaborative analytics take main focus as governed data is more accessible and cloud technology enables easy sharing. Information is now flowing in multiple directions, not just one. People will share live, interactive workbooks and data sources to drive decision making. Sharing functionalities and alerts with the could services are leveraged and used to stay in touch.

3-    The value of data is no longer limited to its ranking or size, what counts is that people have quick and easy access to the data and can explore it alongside other types of data and analyze it to improve business outcomes. In 2017 BI will shift towards people exploring data of all types, shapes and sizes without having to worry about where it’s stored. Big data is moving towards Fast data.

4-    The same trend of usability and agility that has disrupted the BI and business analytics will be seen in data integration. Common data prepping tasks like data parsing and wrangling, JSON and HTML imports will no longer be delegated to specialists. Everyone will be able to do these tasks in the near future as a part of their analytics flow. This will change how we look at data governance but the most advanced IT groups are already seizing the opportunity.

5-    In 1017 analytics are embedded by the businesses where their people work as a natural part of a person’s workflow. Analytics will become more pervasive and the market will expect data and analytics to enrich every business process. This puts analytics into the hands of people who haven’t previously explored this type of data. Embedded BI extends to the point where people might not even realize they are handling and processing it, similarly to predictive analytics like movie recommendations on Netflix.

6-    As stated, IT is on the verge of a transformation to self-service analytics at scale. It is providing the agility that businesses need to innovate while they’re balancing data governance, security and compliance. By empowering organizations to make data driven decisions fast, IT works to help shape the future or the business.

7-    The interface of data will become even more natural giving people a better business insight. These improvements are due to i.e. natural language processing and generation. Natural language interfaces are a new addition to the BI toolbox and can make data, charts, dashboards more accessible by letting people interact with data by using natural text and language. This helps standard reporting develop further towards storytelling.

8-    Data is moving to the cloud, but so will analytics! Data gravity will push businesses to use their analytics right where their data lives. Cloud data warehouses will continue to be extremely popular data destinations and as a result, analytics will become more prevalent. Cloud analytics already represent a faster and a more scalable solution for data processing for businesses.

9-    Advanced analytics will become the standard for the business user and will no longer be reserved for data scientists and experts. Business users are already leveraging analytics functions like k-means clustering and forecasting but will continue to expand their analytics skill set.

10- In 2017 data analytics will become obligatory core competency for all types of professionals. Much like proficiency in using Excel and other types of software, competence in analytics is going to be a necessity at the workplace. To meet the need for analytics competence, higher education will see a lot more BI and analytics programs, within the employees, people will expect intuitive BI platforms to drive decision making at every corporate level.