It’s getting increasingly difficult to stay up-to-date with the advances in the world of AI, with different tools being released each week. Just looking at the volume of tools released from one aggregator shows the speed of progress is astonishing:
With the release of ChatGPT back in November 2022, you can see the huge spike in tools coming to market month-on-month (although it appears things have now started to slow down).
With Large Language Models (LLMs) now “out in the wild”, there are thousands of developers around the world pushing change in every industry. There are some superbly useful tools coming to market, which are drastically improving productivity and outputs, whilst equally as many with seemingly unknown reasons for existence!
One area that we at Semetrical have been particularly interested in is Data Analytics. It’s an area that forms a large part of work for our existing clients and something we are truly passionate about as a team. Yet, it’s another area that, apparently, AI will supposedly swallow up as a job.
But just as our take on AI and Content, whilst it can seriously speed up productivity of individuals and support our creative efforts, it should never completely replace humans. (Our little mantra being: “Humans will not be replaced by AI. Humans who know how to use AI will.”)
That being said, there are some great tools out there to help smaller marketing teams. Here’s a run down of some of the better offerings on the market.
DataSquirrel.ai is an AI-powered data analytics tool that allows users to generate auto insights and instantly see patterns and trends in their data.
DataSquirrel.ai can be useful for a variety of use cases, including identifying pricing information for hotels, predictions for churn prevention, and extracting data from academic websites. The tool is best suited for users who need to quickly analyse their data and generate insights without spending a lot of time on manual analysis. It is also a good option for users who are looking for an affordable data analytics tool with flexible pricing options.
AnswerRocket is an AI-powered business analytics platform that leverages natural language processing and automation to provide in-depth insights and visualisations in seconds.
AnswerRocket is a powerful tool that can be useful for a variety of use cases. It enables businesses to ask natural language questions about their enterprise data and obtain actionable insights. This makes it particularly valuable for users who want to quickly analyse their data and make data-driven decisions without the need for extensive technical knowledge. AnswerRocket’s ability to generate visualisations and provide fast analytics can be beneficial for businesses across various industries.
IBM Watson Analytics is an AI-powered business analytics tool that enables users to quickly and easily analyse their data and generate insights:
IBM Watson Analytics can be useful for a variety of use cases, including identifying trends and patterns in customer data, predicting sales, and optimising marketing campaigns. The tool is best suited for users who need to quickly analyse their data and generate insights without spending a lot of time on manual analysis. It is also a good option for users who are looking for a powerful data analytics tool that can be integrated with other IBM tools.
RapidMiner is a data science and data mining platform that offers a range of features and capabilities for analytics and machine learning.
RapidMiner can be useful for a variety of use cases, including clustering, churn prevention, and predictive modeling. The tool is particularly valuable for users who want to leverage machine learning and analytics to gain insights from their data. RapidMiner’s automation capabilities and data extraction features make it a versatile tool for users across different industries.
Alteryx is an analytics and data science platform that offers a range of capabilities for data analysis, machine learning, and automation.
Alteryx can be useful for a variety of use cases, including data integration, data preparation, predictive modelling, and machine learning. The platform is particularly valuable for users who want to leverage advanced analytics and automate their data processes. Alteryx’s drag-and-drop interface and extensive library of tools make it a versatile tool for users across different industries.
AI data analytics tools offer numerous benefits for businesses, revolutionising the way data is managed, analysed, and interpreted. There’s definitely plenty of reasons why AI data analytics tools are a good thing for businesses:
These tools are intuitive to use (most of them), making it easy for anyone to access complex data sets and make strategic decisions from them. At least that’s the top level headline. But in order for any business to stay competitive in today’s data-driven business landscape, it’s imperative you can efficiently use these tools and be able to validate the analysis it’s spitting out.
You could have the biggest AI tech stack ever, but if the people using it do not understand the basic principles of data analysis, then it’s likely your strategic decisions could be flawed before they are used.
Despite the benefits of AI data analytics tools, there are some drawbacks that businesses should be aware of. Whilst not everything, these are some of the key areas to pay attention to when looking to select an AI data analysis tool:
The team at Semetrical are using AI every day in order to speed up more manual basic tasks, but it will never replace the smarts of the team. That being said, however, we are utilising a wider variety of tools into our own internal processes whilst discussing more solutions with clients each day.
As ever, our years of experience and human interaction with large data sets, being able to interpret context and understand seasonality will always bring value to our analytics offering for our clients. It’s just being supercharged with the integration of AI tools.
Have you got an analytics project you want some help with? Stuck with what tool to use? Or just want the technical support and strategic direction of a vastly experienced analytics team? Then we’d love to arrange a chat. Contact us today!