AI Solutions

Top 5 AI Data Analytics Solutions

Generate high-quality synthetic data and analytics. Upgrade your data processing and analysis with these AI tools.

Last updated on Oct 07, 2024

Written by Joel Witts

Technical review by Laura Iannini

The Top 5 AI Data Analytics Solutions Include:

1. Akkio
2. Microsoft Power BI
3. MonkeyLearn
4. Polymer Search
5. Tableau

Data analytics is critical for organizations make informed decisions, but can often be a long, complex, and expensive process. To help solve this challenge, a new category of AI-powered solutions has emerged which are designed to help organizations streamline and automate the data analysis process, while maintaining accuracy.

Whether you are a data scientist, business analyst, or a data-driven marketer, these AI solutions are designed to meet your needs and make your job easier. They offer a range of capabilities, from automating data analysis and report generation, to providing advanced data visualization and predictive analytics.

In this article, we showcase the top AI data analytics solutions on the market today. We’ll consider the features provided, user feedback, and investment raised to suggest which teams these solutions are best suited for.

Akkio

Akkio is an AI-powered data analytics platform that enables you to combine columns, summarize and format data, translate languages, and perform complex calculations with a plain-text interface. It massively saves time by clearing data and removing outlying records to help your team and can also generate predictive future models. Akkio is headquartered in Cambridge, MA and has raised $3m USD in funding to date.

Akkio has a wide range of use cases and applications to help you improve data processing. This includes ranking inbound leads by likelihood to convert in order to maximize time spent by your sales team, revenue forecasting, fraud detection, as well as employee retention and feedback survey analysis. The platform is very easy to use, and predictive modelling means there is a wide range of use cases for organizations across many industries to take advantage of.

Microsoft Power BI

Microsoft’s Power BI tool is a comprehensive data analytics platform that has built-in AI capabilities to help you more efficiently analyze and make sense of your corporate data. Power BI is a market leading data analytics and business intelligence service used by global enterprises to track real-time metrics and enable data-driven decision making.

Microsoft Power BI offers a granular feature-set for enterprise. The platform delivers hundreds of flexible, interactive data visualizations, with built-in analytics tools to showcase trends and sort data, for example sorting sales by country, year, and brand name. Data is kept highly secure with sensitivity labelling, end-to-end encryption, and access monitoring. The platform is highly scalable and suitable for organizations of all sizes.

MonkeyLearn

MonkeyLearn is a no-code text analytics platform that uses AI to clean, label, and sort plain-text instantly into data visualizations and dashboards. The solution provides useful insights to help you identify trends and prioritize feedback. The service can be integrated with your enterprise applications via direct integration and an open API. MonkeyLean is based out of San Francisco and was founded in 2014. The company has so far raised $2.2m USD in investment.

MonkeyLearn’s simple interface enables you to create customized text classifications and analysis by sentiment, topic, key word, and more. The platform enables a range of use cases, including NPS analytics, survey analytics, review analysis, and support feedback. The platform generates instant insights into text-based data with a colorful and intuitive set of dashboards, custom charts, and graphic visualizations. Users can choose between ready-made machine learning models to analyze data, and customized models trained around certain classifiers and extractors, with a simple, no-code user interface.

Polymer Search

Polymer is a leading business intelligence platform that uses AI functionality to streamline set-up and reduce complexity. The platform requires no technical set up and directly integrates with tools like Excel, Google Sheets, and Google Ads to create visualizations and dashboards in just minutes. Polymer is trusted by large technology companies including Facebook, HP, and Spotify. Founded in 2019, Polymer has raised $4m USD in funding to-date.

Polymer plugs directly into applications and enables users to upload their own datasets, with no complex technical set-up. In minutes, you can generate clear graphs, charts, and visualizations to breakdown trends and showcase results. It’s easy to collaborate and share dashboards for both internal and external reporting on results or ad campaigns. This tool is ideal for searching, visual optimization, and presenting your business data.

Tableau

Tableau is one of the world’s leading data analytics platforms, enabling businesses to create forecasts and strategies backed by data. Used by tens of thousands of companies around the world, from individual users to government agencies, Tableau is a trusted data analytics provider, known for easy-to-use, visual, and intuitive data analytics for any skill-level.

Tableau enables fast, easy data management, with self-styled analytics and campaigns for a vast range of use cases. Their analytics platform is highly flexible and scalable to support individuals looking for data management, up to large multi-national organizations looking for critical business analytics. Tableau uses AI and machine learning systems to build and integrate predictive models directly into your analytics dashboards, allowing you to more quickly build accurate and clear forecasts, without any technical complexity.

What are AI Data Analytics Solutions?

AI data analytics solutions are tools and software that use artificial intelligence and machine learning algorithms to analyze and extract insights from your data. These solutions automate various aspects of the data analysis process, such as data collection, cleaning, transformation, and visualization to save time and improve accuracy.

The main advantage of AI data analytics solutions is that they can process and analyze vast amounts of data quickly and accurately. This enables organizations to make faster, data-driven decisions.

These solutions also can uncover hidden patterns and correlations in data, providing valuable insights that might not have been discovered through traditional data analysis methods. Many will generate dashboards which enable you to understand and export the data to other team members.

These solutions are designed to help organizations make more informed business decisions by providing real-time insights and predictive analytics based on historical data. The solutions can be used for a variety of purposes, such as market research, customer behavior analysis, predictive maintenance, and fraud detection.

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Joel Witts

Content Director

Joel Witts is the Content Director at Expert Insights, meaning he oversees all articles published and topics covered. He is an experienced journalist and writer, specialising in identity and access management, Zero Trust, cloud business technologies, and cybersecurity. Joel is a co-host of the Expert Insights Podcast and conducts regular interviews with leading B2B tech industry experts, including directors at Microsoft and Google. Joel holds a First Class Honours degree in Journalism from Cardiff University.

Laura Iannini

Cybersecurity Analyst

Laura Iannini is an Information Security Engineer. She holds a Bachelor’s degree in Cybersecurity from the University of West Florida. Laura has experience with a variety of cybersecurity platforms and leads technical reviews of leading solutions. She conducts thorough product tests to ensure that Expert Insights’ reviews are definitive and insightful.