商业智能BI发展的6大趋势（英文版）

Posted 2021-04-20 乾元坊

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The field of business intelligence is always changing. But even with technology moving at a fast pace and data users’ demands morphing, some factors of the industry have remained the same.

For instance, broader use of predictive analytics remains an aspirational goal for most companies. Suboptimal data quality continues to be problematic.The requirement for information governance is high, but maturity is lower than it needs to be.

But it’s important to look ahead for the industry. What’s in store? Read on to find out our view of what the industry’s current critical trends are and how users are becoming information activists. 

Data consumers are transforming into information activists.

Rather than just consuming information, users are now engaging in data prep and profiling. By creating visual apps, users are expressing their views and learning about themselves through being actively engaged with the growing volumes of data.

This trend is seen in the rise in data- driven journalism in the mass media,

altering how people are using public data to understand how society works,

such as the use of infographics in online articles.

Governed data discovery becomes essential.

Self-service BI is the new normal. With more data out there, users want to

become more self-sufficient in creating their own analyses rather than relying on others — but this means they need to work in a managed data space.

As such, governed data discovery is becoming a top priority. Withina framework of governance, users will focus their energy on getting insights from their

analyses. They’re able to ask “why?” multiple times using the data, rather

than worry whether the data is correct.

Big data is less of a big deal.

The industry will get past the big data hype as more organizations start to apply

data analytics to data sources that used to fall outside of the BI space. Data usage is evolving into a richer and more complex landscape from various

sources, enabling the use of practical, variant data use cases.

Data from external sources gives better context.

More data storytelling equals more engagement.

A screen in the hand is worth two on the desk.

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