Analytics empower informed decisions, but making sense of endless data can be daunting, especially for non-technical users. Reliance on technical teams or canned reports often hampers agility.
Unlocking insights on your own is possible with Search Driven Analytics. This emerging approach puts intuitive, self-service analytics directly into business users' hands.
In this article, we'll see how plain English questions instantly produce visualized answers, no coding needed, thanks to large language models. AI and machine learning enable leading platforms to make data exploration easy for anyone.
Users can simplify data exploration with Search Driven Analytics by posing questions in natural language and receiving visualizations as answers.
Imagine being able to type a query like “what was our net revenue last quarter?” into a search bar and receiving an insightful visualization in response. This powerful approach democratizes data analysis, making it accessible to a broad range of business users across various fields like sales, marketing, finance, and healthcare.
Our customers are using Chat Explore, a leading GPT-4 powered search-driven analytic tool, to generate reports on sales outcomes, marketing insights, and full-blown dashboards from simple requests.
The distinction between Search Driven Analytics and traditional analytics tools lies in how search-based analytics work. Unlike conventional tools that need structured input or manual data manipulation, Search Driven Analytics uses natural language processing (NLP) to understand user queries and pull relevant data from databases.
NLP is a technology that enables computers to comprehend human language, which is essential in search-driven analytics to uncover hidden insights from unstructured data. NLP translates human language questions into queries that the analytics engine can interpret, enabling natural language search capabilities.
Implementing search-based analytics can be tricky due to differences in data, metrics, KPIs, terminology, and industry knowledge across companies. However, leading search analytics platforms are designed for ease of use by business users of all technical skill levels.
Platforms like Akkio stores all kinds of tabular data and integrate with your existing tech stack. Once the data is in the system, we help you clean it, visualize it, and even create machine learning models with it. Everything happens without coding.
Beyond NLP and machine learning, search-driven analytics platforms utilize AI to:
Additional AI capabilities create further value:
With intuitive access to insights, Search Driven Analytics accelerates data-driven decision-making across the business.
It empowers cross-functional teams to independently analyze unstructured data, make timely calls, and capitalize on fleeting opportunities. Organizations become more responsive and agile.
Search Driven Analytics democratizes data analysis by:
Search Driven Analytics provides businesses with immediate access to insights, allowing them to swiftly respond to market changes and find new opportunities. This accelerated decision-making process offers several benefits, including:
Chat Explore™ allows collaborative, conversational data analysis between teams thanks to powerful large language models (LLM) plus GPT-4, the industry-leading API from OpenAI.
Let's dive in and see how Chat Explore works in practice, starting from a dataset on 30,000 Spotify songs (by Kaggle, download it here).
Akkio supports CSV files and integrates with a plethora of platforms, including Google Analytics 4, Airtable, Redshift, BigQuery, and Snowflake. Explore all available integrations here or suggest a new one by contacting us inside the app.
Let's try to find out if song popularity changes overtime, with the following prompt:
Use the album release date to see how song popularity changes over time. Is older music making a comeback, or does new music dominate?
That's all. Akkio will do the rest in the background using Generative Reports.
Once you're ready to explore your data further, navigate to "Explore" in the top-level menu, which will prompt you to the conversational analytics tools.
Here, you can switch between GPT-3.5 (faster) and GPT-4 (more accurate) and get started. Akkio provides a preset of questions you might want to answer, but you can start from scratch by typing in the input field.
If other people need access to the data, and they're not part of your team, you can:
For example, let's try with a couple of questions:
Genre Dominance: Break down which genres and subgenres have the highest average song popularity. Is pop more popular than rock? Does indie have a stronghold?
Top Tracks: List the top 10 or top 20 tracks by popularity, breaking them down by genre or artist as well.
Augmented analytics is a next-generation approach that applies AI and machine learning to amplify human data analysis. It works by using technologies like NLP and machine learning to:
Long are the days where all data preparation needed to happen in Excel. Nowadays, many extensions lets you bring GPT-superpowers in your data sheets. But, if you want to take this a step further, end-to-end machine learning platforms like Akkio can help.
With Chat Data Prep™ , our large language model help you clean your data from outliers, update date formats, remove or add columns, concatenate columns, and even translate rows. It's located one tab before "Chat Explore".
For example, let's ask the AI to create a custom metric to quantify a playlist's "effectiveness" in promoting tracks.
Create a custom metric that combines song popularity and the number of songs an artist has in a playlist to quantify a playlist's "effectiveness" in promoting tracks. Add the metric in a new column.
If you're unsure about what happened, don't worry, Chat Data Prep offers an AI interpreation next to the prompt and doesn't apply any transformation until you click "Apply".
It's all fun, but what if you don't know what to look for? What if everything you're working on is alien data to you?
Well, that's why we specified a goal at the beginning. While we were preparing data, generating visualizations, and generate effectiveness metrics, Akkio built this generative dashboard for us:
This time, the AI prompted itself to generate multiple reports to match my query: Use the album release date to see how song popularity changes over time. Is older music making a comeback, or does new music dominate?
Do you want to take a peek? Here's a public URL to the dashboard. We added the other charts we generated in the article as well.
Data insights can help, but actionable models can revolutionize how you serve your customers and/or operationalize your systems in a much more profound way.
Akkio lets you predict and forecast without coding knowledge. No need for data science degrees here.
Let's try it out by training the model to predict the "popularity";
Our model is ready, and Akkio provides a full insights report to understand more about the performance, top fields, top factors, and segments. Feel free to take a look here.
You can deploy models into your HubSpot instance (perfect for lead scoring), Google Sheet, or big data warehouses like Snowflake and BigQuery. For a quick test, we deployed this one as a web app, which you can embed in any article or web page.
Here's the embed of the web app:
Have fun experimenting and we hope you can find the next hit song!
AI-enhanced Search Driven Analytics can be applied in various areas, such as:
In conclusion, Search Driven Analytics has the potential to transform businesses by making data analysis more accessible and empowering non-technical users to make data-driven decisions quickly and confidently.
Platforms like Akkio, with its revolutionary Chat Explore feature, are leading the way in leveraging AI and machine learning to enhance Search Driven Analytics capabilities.
By implementing best practices and harnessing the power of AI-enhanced Search Driven Analytics, businesses can unlock deeper insights, make better decisions, and stay ahead of the curve in today’s competitive landscape.
Try Akkio for free today. You have 14 days to decide, no credit card required, and no commitment.