HOW BI HAS CHANGED AND WHAT IT MEANS FOR YOUR DATA STRATEGY


CLOUD

For most of the technologies, and in particular BI tools, native cloud providers are making it so much simpler for organizations. They provide managed services to help you focus on your core business and not IT-related tasks that slow everything down. These tools work, scale automatically and are a breeze to administer. And in terms of future-proofing your choices, know that innovation will occur in the cloud and you will never have to upgrade. The shift to the cloud is inevitable.

ARTIFICIAL INTELLIGENCE (AI)

AI will do for your users what they used to do manually and also use the wisdom of crowds to suggest analyses - and get them done! I have been in this industry for a long time, and I think this is truly a revolution, not because it saves time but because it promises to bring advanced analytics to the masses, with natural language processing for instance. It means that BI tools will become so sophisticated that they will even incorporate some "data science" functionality, making your data analysts "citizen data scientists." 

MOBILITY

A lot has been written about mobility, and BI is not immune to its charms. It is becoming (if it has not become already) the primary way that management interacts with data. As AI makes BI ever more powerful, it is easy to see the day when we can ask Google or Siri for the data we need in real time for example, wherever we interact on the customer's journey.

CONCLUSION

When choosing BI technology, here are some guidelines to keep in mind:

● Understand how they leverage AI and mobility and their future vision and plans ● Give extra points to vendors that were born in the cloud, but don't dismiss traditional offerings outright - some are investing a lot to catch up ● In terms of AI capabilities, differentiate between minimum-viable-bells-and-whistles and what is really prime-time before deploying

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