What´s Trending for BI in 2019?

bi trends 2019


Businesses do not shy away from showcasing their intent to be more data-centric and this has significant impact on operations, finance, IT, sales, and marketing among others.

With businesses wanting to press every drop of insight they can with the data they have, business intelligence platforms are called to rise to the demands.

We listed the 5 trends you can expect in Business Intelligence this 2019.

  1. Machine Learning Models Under Hood Inspection

While artificial intelligence is here to stay, some decision-makers hesitate because it is currently not possible to check what is under the hood of these machine learning applications. When there is lack of transparency on the logic behind the models, it is hard to know for certain if the models are working as they should or if the predictions even make sense.

2019 will be about BI vendors trying to bolster transparency so that they can finally earn the trust of the decision makers. Machine learning models will be presented in a friendlier, easy-to-comprehend, possible-to-investigate manner.

  1. Improved Human Conversations with Data

Some BI platform users today can interact with their data by asking questions and this is done with the help of a natural language processing system. This interaction does not demand deep knowledge of the system. However, the reality is that only few platforms allow this for now.

2019 will see BI developers push the boundaries of modern BI capabilities. 2019 will be a year of wider support for analytical conversations with the data.

BI platforms will try to improve its ability to understand human interaction so that it can successfully figure out what it is the user is trying to get at without requiring the user to rephrase or clarify ambiguous points.

Investigative and analytical questions like how many car recalls happened in 2018? Or how many car recalls happened in the state of New York in 2018 will be possible with improved analytical conversations.

  1. Data Catalogs and BI platforms Integration

Most companies struggle with numerous, complex, and disparate data sources. This is why senior managers are keen to adapt new technology in an attempt to resolve this problem.

The BI feature that will stand out in 2019 is the improved integration of data sources and the BI platform. To try to close the gap between data and its real-world application, the marriage of data and business has to happen.

A data catalog is basically an internal glossary that can be updated by subject matter experts In the organization so that definitions are consistent. With data catalogs, analysts will finally have better understanding on what the data they are looking at truly represents in real-world application.

The marriage of data catalogs and BI platforms ensures tasks can be streamlined and that data can be translatable in a more real-world and tangible business-like terms.

  1. Step by Step Data Visualization

What good is a set of data if it cannot be communicated effectively? What good is a BI system if no one understands what it is trying to convey.

Everything comes down to communication. 2019 will be a year of customer-focused data visualization. BI platforms will be more adapted to allow analysts to showcase his step by step approach on the analysis to increase trust in the insights and recommendations.

Multi-page dashboards and scrollable pages will be the features for 2019. It will be all about making sure the audience can easily comprehend the message. Do you see a graph? Why is there a spike? Easy to digest explanations like that for the consumer of the reports will be 2019´s focus.

  1. Cloud Migration

 Modernizing your business means eventually migrating to the cloud. There are so many benefits to be had with moving to cloud – flexibility, lower total cost of ownership, and time efficiency are few of the compelling ones.

While there will still be companies that will be taking baby steps by exploring hybrid deployments, one thing is for certain – they will one day be heading to a purely cloud deployment because cloud is the future.

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