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Top business intelligence trends 2019

Top business intelligence trends 2019

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The dawn of postmodern analytics


This digital trends report illustrates key business intelligence (BI) analytics platforms, from advanced data warehouses to AI-enabled analytics; in doing so, this guide seeks to decentralize data ownership, ensuring data usage follows core principles: democracy, collaboration, and innovation.

During this digital age, power is being centralized by big data enterprises, such as Google, Amazon, Apple, Alibaba, and Facebook. These organizations can disrupt industries because of their flexible data centers. According to the brief, there are three steps to data democracy: i) construct digital social contracts that ensure data is secure, private, and decentralized, ii) support data literacy, and iii) build accessible and scalable data and analytics platforms. Although modern BI platforms, services and systems brought us this far, we need an analytics platform that stops data from being handled by the few; rather, modern society requires postmodern BI analytics tools that share data, analytics and insights to all people.

With the aid of BI digital innovations, future data platforms cam manage multi-cloud, hybrid, and edge functionality. By 2020, Gartner predicts 75% of companies will create and process data outside a traditional centralized data center or cloud. Another aid to digital innovation and democracy is microservices. Microservices is an approach to application development. Large applications are built as a structure of separate parts or services. Data Literacy will be a key performance indicator for businesses. By measuring and indexing data literacy, organizations can support workers’ skills with specific objectives and contexts.

The goal of BI trends is to construct an intuitive postmodern BI platform. A platform includes a group of people with different tasks, interacting in complex ways that add value. The groups of people do not only include humans: digital services, bots, and algorithms also participate. This collaborative, diverse, and self-learning ecosystem can drive data democracy. 


Multi-cloud, hybrid, and edge

Distributed workloads

What will replace centralized data?

Embedded analytics

External innovation vs. internal innovation

Performance and scale

AI and analytics

Visualization, conversation, and presentation technologies

Data literacy

Platforms equal systems



Researchfinder Rating
5 out of 5 stars
Top business intelligence trends 2019
The dawn of postmodern analytics
Dec. 15, 2018


Number of Pages
Number of Tables
Number of Exhibits
ai, cloud
AI applications, Alibaba, amazon, apple, big data, business intelligence, cloud applications, data analytics, facebook, google, hybrid cloud, machine learning, multi-cloud, natural language recognition, Qlik
Companies mentioned
Google, Amazon, Apple, Alibaba, Facebook
Industry experts summarize key data and analytics trends and make predictions about the implementation of the business intelligence (BI) innovations.

This business intelligence (BI) trend report is brief and informative; trend summaries and industry predictions show a more democratic digital ecosystem.

Readers will quickly understand how every segment and digital innovation contributes to the growth of data democracy.  The publishers include text boxes with concise trend reports. This will save time for busy readers. Further analyst predictions illustrate the significance of every analytical innovation. However, how enterprises apply these trends will determine their impact.


  • Contents are connected and relevant
  • Plain writing
  • Quotes from tech industry leaders


  • Use cases would expose the potential of the trends

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