Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists.
Here ‘s the issue: The amount of data in the world is growing exponentially. And hidden within all of that information are insights that can potentially help us do anything from curing cancer and discovering new sources of clean energy, to improving our health and fitness and growing our businesses.
So the problem isn’t that we don’t have enough information do these things. It’s that we have too much, and don’t know the best place to start!
Traditionally, extracting insights and value from data required two things – very clever, highly trained people and lots of time.
Here, AI has proven very useful. For the past decade, we’ve used deep learning algorithms to crunch numbers far quicker than any human, spotting patterns and pulling out insights. It also allows us to find clues hidden in unstructured data, such as text, video and sound.
Now, generative AI can translate these insights into advice and instructions that anyone can easily understand, as well as create and interpret graphs, charts and statistics.
So here’s my roundup of what I believe to be the most useful tools for anyone wanting to apply generative AI to data analytics, whether they are an enthusiastic amateur or expert in the field.
The Alteryx platform now incorporates a no-code AI studio to let users create their own analytics apps using custom business data. Data can then be queried through a natural language interface, which includes access to models such as OpenAI’s GPT-4.
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Built on its Alteryx AiDIN engine, the platform differentiates itself from competitors with a user-friendly approach to predictive analytics and insight generation. A key feature is its Workflow Summary Tool, which interprets complex workflows into simple-to-understand natural language explanations and summaries. You can also specify how you want your reports to be output, for example, in email or PowerPoint formats, to target your desired audience.
Overall, Alteryx is a great choice for analysts and SME users looking for an all-around platform for creating custom analytics apps and generating predictive insights.
This is an industry-standard analytics package that’s been enhanced with the power of generative AI, harnessing Microsoft’s Co-Pilot technology and models developed with OpenAI, including customized versions of its powerful GPT-4 models.
The platform integrates numerous technologies including Microsoft’s Fabric AI-powered analytics framework, as well as Azure Synapse which allows it to seamlessly integrate with data warehouse and other Big Data technologies like Apache Spark. This creates an end-to-end analytics solution suitable for the largest enterprise workloads, enabling anything from simple analytics to building and deploying your own machine learning models on Azure. It’s a good choice for enterprise users needing flexible cloud integrations and dealing with extensive data workloads.
Tableau is one of the world’s most popular data visualization tools and now features Tableau Pulse, built on Salesforce’s Einstein models, for AI-powered insights. Its Insights Platform allows automated analysis of datasets, extracting insights and trends in natural language while also generating visualizations. The package is aimed at facilitating data-driven decision-making and improving productivity by giving business users access to in-depth analytics at their fingertips. Security and ethics are also important when working with data, So Salesforce has integrated its Einstein Trust Layer guardrails with Tableau Pulse for peace of mind in this respect. Ideal for decision-makers who want to create user-friendly and detailed visualizations.
Another established analytics and data platform that now lets users embed generative AI analytics content into their reports and dashboards through its Qlik Answers assistant. It features automated summaries of key data points, natural language reporting and a host of integrations with third-party tools and platforms. A particular emphasis is placed on explainability to ensure it is always able to support its insights with sources and citations. The Qlik platform is particularly useful for users who want to analyze large volumes of unstructured data like text or videos, and now, thanks to Qlik Answers, this can all be done with natural language.
Sisense now lets you embed conversational analytics directly into your BI tools and applications. This makes it simple to automate processes including data preparation as well as building analytics dashboards and reports. Sisense is a widely used platform with a user-base spanning research scientists to business analysts, and is designed to make analytics accessible to anyone, regardless of their level of expertise. This makes it a useful tool for anyone needing a powerful analytics engine that can be deployed quickly and efficiently.
More Generative AI Data Analytics Tools
New genAI-powered analytics tools are emerging practically every day. Here are some of the others that are worth taking a look at.
Generative BI platform that enables predictive modeling and insight generation.
Coefficient automates importing live data from platforms like Hubspot or Salesforce into Excel or Goole Sheets and can interface with ChatGPT to query your data in natural language.
Domo uses natural language conversations to guide you through the process of deploying analytics and extracting insights.
The plugin provides custom connectivity with Excel for ChatGPT, Claude, and Gemini Pro.
Talk directly to your data to get expert insights and analysis alongside customized reports.
Generative AI assistant provides quick answers and insights into business data.
It specializes in the in-depth analysis of text information, such as customer feedback reports.
Answer your important business questions with instant insights using Polymer’s PolyAI chatbot.
Conversational data discovery and dashboard building with built-in security features, works with any LLM.
Generative AI analytics designed to provide marketing insights.
AI-driven analytics platform that combines search and AI to enable natural language queries and automated insights generation.
Emphasizes data-driven storytelling and a collaborative approach to machine learning-powered analytics.
