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1. Data science & business intelligence platform growth rate movie#
2. Data science & business intelligence platform growth rate drivers#
3. Data science & business intelligence platform growth rate driver#
4. Data science & business intelligence platform growth rate software#

We have left the sphere of static BI data push by highly trained analysts and are now in the realm of the casual BI user: John from sales or Pam from logistics, whose main endpoint device for the BI system is the smartphone. That’s because users are demanding simpler but purpose-built mobile BI apps. They are leveraging Rich Internet Application content to ensure device compatibility and, of course, user satisfaction. We may see some developers ditching native apps for HTML 5 clients. What you’ll see is a more interactive mobile BI app far from what we have today, apps that push static data at best. However, the BI infrastructure will still be intact, a mobile or web app built on a proprietary system. But if we are to go by the ubiquity of mobile phones and key smartphone statistics-90% of smartphone usage is on apps-BI vendors will start going the way of communication apps, which have since pursued a mobile-first strategy to keep up with user preference. To this day, mobile BI acts as an endpoint extension of BI applications. Thus, expert AI developments in hyper-automation, system engineering, big data analytics, and virtual assistants will be shaping the top BI systems all in the name of efficiency, productivity, and profitability.ģ. Of course, the bulk of AI developments in BI will still be offensive in nature. Other ethical AI guidelines include “justice and fairness,” “transparency,” “freedom and autonomy” and “sustainability.”

Data science & business intelligence platform growth rate driver#

Pundits point to several aspects that underline ethical AI, but it’s not hard to imagine privacy being a major driver given the exorbitant regulatory penalties being and to be imposed, by the EU and in the US. Ethical AIĬoinciding with beefing up system security, AI, or to be specific, ethical AI, is now a thing.

Data science & business intelligence platform growth rate movie#

The movie Minority Report comes to mind but at a very infant level where system administrators are alerted to a potential user breach based on historical patterns, present context, and a forecast of outcomes. The fact that 2021 saw a record-breaking number of breaches-Identity Theft Resource Center puts it at 17% more breaches than in 2020-we can only see an uptick in this part of AI space in the coming years.Īlready, we see the continuous development in proactive analytics lending to BI advanced neural networks that detect system anomalies before any issues happen.

In the BI ecosystem, we will see more defensive AI developments in the form of security.

Two years hence, and a slew of privacy and security concerns brought about by big data and a hyper-connected world, defensive AI developments have increased to 17.3% share, cutting offensive AI outcomes down to 82.7%. We were excited at what AI can create (and still do) and less about what it could protect.

Data science & business intelligence platform growth rate drivers#

On the other hand, defensive AI developments aspire to cost-savings or compliance, among others.īack in 2019, AI drivers were flagrantly offensive at 91.7% versus 8.3% defensive (NewVantage Partners, 2021). Offensive AI points to developments that lead to transformation and innovation or anything that gives an organization a competitive advantage. We are seeing a slight movement in the share of offensive and defensive developments driving artificial intelligence in general. Defensive Artificial Intelligence on The Rise Several of them provide embedded analytics on top of enterprise analytics (Xignite, 2021).Ģ. We get a sense of this vertical-embedded BI ecosphere by looking at the top business intelligence providers spearheaded by SAP SE ($30.16 M in 2020 revenues). In the meantime, the general BI market is going the way of embedded BI that plugs into other business applications. Hence, enterprise BI, one that can handle vast amounts of data and can be tailor-fit to an organization’s unique needs, is here to stay. Panorama Consulting Group noted that an ERP likely has a BI feature but it may not be robust enough for enterprise users.

Data science & business intelligence platform growth rate software#

Rather, we are likely to see a vertical enterprise BI market creating its own moat separate from a general BI software market. However, don’t expect the BI software industry to ride off into the sunset. Thus, BI may “lose revenues” to ERP and CRM products down the line. We’ve seen the same happen with collaboration software, which started off as its own market before evolving into a regular feature of other software categories, such as task management and communication apps. The industry’s revenue growth slowdown will possibly be caused by BI’s integration with other systems like ERP and CRM.