How do AI and ML usage affect satisfaction in analytics?

Those using AI/ML now “state the highest levels of satisfaction (87%) which is more than 10 points higher than the satisfaction associated with reports (76%).”

What role does Pyramid Analytics' platform play in collaboration between data scientists and business analysts?

...the importance of collaboration between data scientists and business analysts, a crucial bridge that can be built via augmented analytics and a decision intelligence platform.

Do you always need data scientists to do data science?

Do you really need data scientists to do data science? In most cases, yes, but not always.

Decision Intelligence Digest: June 2022 - Pyramid Analytics

In June 2022, Pyramid Analytics highlighted the mainstream adoption of artificial intelligence and augmented analytics as essential components of decision intelligence, with their Decision Intelligence Platform ranked highest among 20 vendors in Gartner's 2022 Critical Capabilities report for automating data integration, analysis, and visualization through machine learning and AI-driven augmented analytics features like automated insights and natural language processing.

Back in 2020, Pyramid Analytics' CEO Omri Kohl published an article in Forbes, asking the industry: Is Your Company Ready to Make Artificial Intelligence and Augmented Analytics Mainstream? Two years later, the answer is a resounding “YES.”

Last month, the case was made that decision intelligence is what’s next in analytics. If that’s true, then so is augmented analytics.

Why?

Augmented analytics is essential to decision intelligence. Decision intelligence leverages machine learning (ML) and artificial intelligence (AI) techniques to transform how analytics content is developed, consumed, and shared. Practical, insight-generating applications of ML and AI—what Gartner calls “enabling technologies”—are the core of augmented analytics.

Gartner recently released its 2022 Critical Capabilities for Analytics and Business Intelligence Platforms report, highlighting augmented analytics as one of its four use cases. The report evaluates platforms for organizations that want to automate many data integration, analysis, and visualization tasks that are currently slow, manual processes, focusing on “automated insights, natural language query, data storytelling, and natural language generation.”

The Pyramid Decision Intelligence Platform ranked highest for augmented analytics out of 20 vendors. According to Gartner: “While Pyramid scored well across all four use cases, it is notably strong compared to its competitors in augmented analytics.”

You can watch a prerecorded demo of the Pyramid Platform, including a test drive of many augmented analytics capabilities, on LinkedIn.

That’s not all:

A recent benchmark survey report from Ventana Research finds that, while nearly everyone surveyed uses reports and dashboards, between 50% and 60% are using AI/ML. Those using AI/ML now “state the highest levels of satisfaction (87%) which is more than 10 points higher than the satisfaction associated with reports (76%).”
Ventana Research also found that “the use of artificial intelligence (AI) and machine learning (ML), and what is promised in augmented analytics, is limited to one-quarter of organizations but growing.” It’s a movement!
TechTarget has called Pyramid Analytics' approach the “new era of BI,” marking the end of the self-service tools that have defined BI in recent times: “After the era of self-service analytics, it’s now the era of augmented analytics.”
Do you know the most common myth about augmented analytics? Check out #8 in our guide (hint: AI is not just a dream).
CEO Omri Kohl recently sat down with Ian King of Sky News to talk about Pyramid’s very successful Series E funding round, as well as the Pyramid Platform’s “very deep AI capabilities.”

It’s about data science, too:

This new era has big implications for data science. According to TechTarget, augmented analytics “allows ‘citizen data scientists’ — often, business users with some additional basic training — to enhance the AI models themselves for more accurate recommendations.”
Cassie Kozyrkov (Chief Decision Scientist at Google) liked one of our ads. Cassie, a foremost expert on data science, AI, ML, and analytics, wrote a great introduction to decision intelligence that’s well worth your time.
Do you really need data scientists to do data science? In most cases, yes, but not always. In fact, it’s another myth around BI you should watch out for.
Pyramid’s Dave Henry spoke with SAPinsider’s Kumar Singh about the importance of collaboration between data scientists and business analysts, a crucial bridge that can be built via augmented analytics and a decision intelligence platform. There’s a report if you prefer.

Peer Story: Community Choice Credit Union

Read Community Choice’s Story

The Look Ahead

Data to Insights Webinar | Pyramid webinar | June 14
BDA Big Data Analytics | Conference | June 16
SAPinsider 2022 | Conference | July 18-21
- Session #1: A Fireside Chat: Decision Intelligence – What’s Next in Data and Analytics with Avi Perez (CTO and Co-founder, Pyramid) and Chandana Gopal (Research Director, IDC)
- Session #2: The SAP+ Challenge: Maximizing the Power of SAP With Your Data Lake Strategy with Cristina Greysman (Head of SAP on AWS Partners-America, AWS) and Dave Henry (Senior Vice President, Strategic Alliances, Pyramid)

Thank you for reading the Decision Intelligence Digest. If you would like to learn more about Pyramid Analytics, the Pyramid Platform, or would simply like to hear how others in your industry are changing their approach to enterprise analytics, let’s set up a time to talk.