Kubit Helps All Product People Monitor KPIs And Discover Insights Without Need OF Expert Advice

Listen to this article

Kubit empowers citizen data scientists with best-in-class behavioral analytics and AI-powered diagnostics that provide clear answers about user engagement and retention. Below is our recent interview with Alex Li, founder and CEO of Kubit:

Q: Could you provide our readers with a brief introduction to Kubit AI?

A: We help all product people monitor KPIs and discover insights without need of expert advice. Kubit instantly identifies the root causes of anomalies and allows teams to share their thought processes, which makes for better, data-driven decisions.

Q: Can you give us insights into your features?

A: We democratize data with AI. When you use our best-in-class behavioral analytics and AI-powered diagnostics, you get the answers you need to grow your business. Creating a data-driven culture has never been easier. Using Kubit AI, you can:

– Monitor product metrics and get insights. We help you keep track of DAU/MAU ratios, retention numbers, conversion metrics, and the other product KPIs you need to make data-driven decisions. Our proven, out-of-box analytics provide insights anyone can understand.

– Detect anomalies and find root causes. That means no more manual queries. No more wasted time. You can avoid costly mistakes and increase productivity by detecting anomalies and finding root causes through AI-powered diagnostics.

– Collaborate Around a Single Source of Truth. If you’re tired of losing charts in endless email threads, we can help you cut through the clutter with our intuitive workspace and evidence board. With our workspace, you don’t just share your thoughts about a chart. You share your entire thought process.

Recommended: Codacy Helps Large Development Teams Ship Great Code Through Standardized Quality

Q: How are you different from other BI tools and product analytics services?

A: Other services focus on queries and on the visualization of data. Those services don’t understand the data, and they don’t think. You also have to ask all the questions and manually run every query, again and again. Kubit uses AI-powered automation to deliver actionable insights and clear answers fast.

Q: What types of solutions do you provide to your clients?

A: Our SaaS analytics services empower citizen data scientists so they can get clear answers about user engagement and retention.

Q: What are the company’s plans and goals for the future?

A: We have built the best-in-class behavioral analytics with AI-powered diagnostics. Our plan is to be the leader in the augmented analytics space and to democratize data with AI.

Q: Where did you get the idea?

A: After building several generations of data infrastructure and analytics practices, I wasn’t happy with the analytics products on the market. There was no automation, they lacked intelligence, and collaboration was difficult.

While serving as the CTO of Smule, I recognized that existing product and user behavior analytics tools are labor intensive. At Smule, I handled the data generated by 50 million monthly active users. To gain the insights and understanding needed to make data-driven decisions, their product teams had to input a significant amount of data manually. Then they had to use screenshots of charts to communicate their findings in long email threads. I knew that there had to be a better way, so I built Kubit to leverage machine learning and AI for automated augmented analytics.

With help from Shasta Ventures, I founded Kubit to help all product people make better, data-driven decisions through best-in-class behavioral analytics and AI-powered diagnostics.

Recommended: Abstracta Helps Clients Release Quality Digital Products At Speed With Outsourced Software Testing

Q: What is Augmented Analytics?

A: The term “augmented analytics” refers to any service that uses AI to analyze data and to generate automatic insights that allow organizations to make more informed decisions. Gartner, a leading research and advisory company, predicts that by 2020, “augmented analytics—a paradigm that includes natural-language query and narration, augmented data preparation, automated advanced analytics and visual-based data discovery capabilities—will be a dominant driver of new purchases of business intelligence, analytics and data science and machine learning platforms and of embedded analytics.” In addition, “the number of users of modern business intelligence and analytics platforms that are differentiated by augmented data discovery capabilities will grow at twice the rate and deliver twice the business value of those that are not.”