Data, AI, and Analytics: What Matters Most

It seems like yesterday every company was talking about its technology vision for 2020. Embracing digital transformation, adopting cloud computing, and enabling information systems on the desktop have been hot topics for years.

Now, the market is moving beyond a single point of control and into a realm of data automation, self-service insights, machine learning (ML), artificial intelligence (AI), and augmented analytics. What seemed like a clear vision for 2020 has been muddied with new ways of approaching technology to the point where most companies are struggling to make decisions that will fuel their competitive advantage in the years to come.

To get a better handle on where we are and what business leaders should pay close attention to, we invited Bruno Aziza to discuss the top trends dominating the business analytics, data, and AI space. Bruno is one of the leading authorities on business intelligence and analytics having written two books on the subject. He previously worked at Business Objects during its IPO days as well as Microsoft’s analytics, cloud, and big data division. Now, he’s joined Oracle as vice president of Outbound Product Management for Oracle Analytics Cloud.

“If you are reviewing, buying, and deploying technology, you are going to be hit by a lot of research,” Aziza says. “If I were evaluating the current business analytics choices for the next ten years, I would recommend a report from 451 Research that talks about the market in terms of cloud, and voice, and how the market is organized.”

Ultimately, Aziza suggests three trends that will define the next ten years starting with 2020: cloud-based data control, integration of analytics intelligence, and embracing artificial intelligence and machine learning.

Historically, data controls are based on the IT department having the keys and giving out permissions. While the current trend of self-service systems has its problems with data loss and multiple versions of the truth, Aziza suggests we can integrate these controls with better parameters.

“You want to keep self-service capabilities available, but within a secure space. This idea of ‘freedom within a framework,’ is not about individual insights that are emailed to everyone in the company. You must start with the center of design in the cloud and bring insights to the user.”

As information is presented on multiple devices and to more than just data scientists, Aziza notes that decision makers are now expecting analytics to automatically be a part of that application and their experience.

The future also looks bright for those entrusted with the mundane tasks of data preparation, data enrichment, and data cleansing. By the end of 2022, machine learning is expected to boost the adoption of manual data tasks somewhere between 40 and 45 percent, according to researchers with Gartner. Aziza suggests that choosing a platform with continuous intelligence—one built around and that embraces AI and ML—speeds up the process and allows for faster data insights.

“No one wants to sit in front of a blank canvas and wonder how to add data points and various arrays into their application, so you have to ask yourself if the toolset you have now can automate those processes and will that toolset last you for the next ten years,” Aziza says.

In addition to his three trends, Aziza notes that voice activation in analytics is poised to change the way people interact with the database.

“Imagine if I could be in my kitchen and yell out: ‘What is the revenue number by product, by segment, and what should I do about it?'” Aziza quips “What if the engine could tell you not just the results but what actions to take?”

To find out more about how Oracle Analytics Cloud can best complement your company’s business analytics strategy, download the 451 Research report and share it with your management team and learn more by visiting oracle.com/analytics.

 

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