A Different Kind of "No-code" Data Analytics Creates Real-time Journeys of Discovery

When Marc Andreessen said "Software is eating the world," he probably did not anticipate the AI hype in 2023. Midway through the year, more than 7,000 AI-powered apps, tools, and wrappers have hit the market. It's hard to think that ChatGPT hasn't even celebrated its first birthday since its public launch in November 2022.

While the impact is undeniable, there's still a missing piece on the AI front when it comes to data analytics and business intelligence. Despite enhancements, IT and data scientists still have to build dashboards and do custom analyses to produce actionable insights. IT teams still have to get, set, design, redesign, and manage analytics and large datasets.

This hands-on approach takes time to program — and then reprogram — as users view data and ask questions, There can be significant costs involved, both in labor and time.

The rise Of no-code data analytics has helped by taking some Of the burden off Of IT teams and enabling the building Of dashboards without requiring coding skills. However, this kind of no code has its own limitations. While you may be able to create a business intelligence dashboard without coding skills. there's still underlying code involved, What's changed is that you use commands to tell your Bl program what you want to see and then it builds the code for you.

Generative AI is not perfect. but it does get some of the basics right. It can generate code that's part of the way there and reduces the amount of programming that's needed. As we've learned from ChatGPT, the results you get aren't always accurate. Someone technical still needs to review, refine, and make changes.

No code can also create some good dashboards, but that doesn't mean they can help you visualize the problem you're trying to solve or find the underlying relationships that impact outcomes. AI assumptions often become generic, yet businesses can't run on generic data.

On the other hand, humans can look at data and assess things machines can't yet do. A good example of this is in healthcare. AI might analyze symptoms for multiple patients, make an assessment based on training data, and prescribe the same treatment. A doctor, however, might take the time to look at underlying factors that the AI wouldn't be able to consider. Experience and instinct might tell the doctor to prove deeper, picking up on nuances Of the way patients answered questions or hesitated when answering. This may lead to significant changes in the diagnosis and treatment regimen.

With business intelligence, it's often these instincts and experience that tell business leaders to look more closely, bringing in additional data. AI will process what you provide, but it still relies on the framework you build.

IDA Combines No Code and AI

for Real-Time Discovery

IDA does Bl differently. Rather than deliver generic solutions, IDA lets stakeholders understand the situation instantly and go al-time discovery. Instead of weeks of back and forth to refine dashboards and visualization, users can engage directly with the data and conduct searches on the fly without having to wait for IT teams to create it for them. This is

This takes Bl beyond dashboards. It enables a dynamic approach to solving problems and revealing solutions. IDA empowers individuals on their journey of discovery that transcends programming, commands, or speaking — recognizing the value of the human component and the ability to sense When something doesn't feel right or needs further research. While no code can reduce the technical labor it takes and the time it takes to produce dashboards dramatically, it's this instinctive human recognition that often yields the greatest insights.

IDA is an interactive, AI-powered tool that lets you ask almost any question. The answer may lead you to the next question and the next before you find that aha moment, but you can continue to ask questions until you find what you want. IDA also uncovers hidden relationships that you may not even think to query.

With IDA, you can do advanced analysis on the fly, including the type of analysis that was previously reserved for those with detailed coding knowledge and data science experience. IDA enables sophisticated analytics, like correlation analysis. root cause analysis, logistic regression, and predictive and prescriptive analytics. AI can identify anomalies, suggest corrective actions, and assess what-if scenarios to predict outcomes based on adjusting different variables — all without coding.

Human-Driven Data Analytics

That's why we say the IDA is Human-Driven Data Analytics. It's business intelligence for business people that enables endless journeys of discovery. Without having to turn to IT teams at every step, IDA empowers you with an ultra-fast, top-of-the-line data tool at your disposal.

Contact the business intelligence experts at Intuitive Data Analytics today.