15 AI Analytics Tools For Data-Driven Business Decisions in 2022

1. Databox

Databox is one of the best AI tools for business analytics that lets you connect all of your data in one place, develop and share reports, keep an eye on trends, and find new insights.

With custom-made views and deep-dives for each function in your business, you see performance patterns, track progress toward your objectives, make better-educated decisions, communicate, and report as you go with Databox.

It allows you to keep track of your company’s, teams’, and individual’s performance at any time and from any location. You can stay on top of the most essential indicators using Goals, Alerts, and Scorecards.

With Databox, you can set, assign, and track progress toward SMART Goals on a single page so that everyone in your firm is aware of how it is performing. 

You will get informed when your performance is not up to par. So, you do not have to wait until the end of the month or quarter to see how your business is doing. 

With Insights, you can examine a timeline of your team’s accomplishments and get suggestions for how to improve your performance.

2. Glew

For e-commerce merchants, digital agencies, retailers, and B2B sellers of all sizes, this provides multichannel business insight and analytics. Glew allows you to view all of your data in one place and gain important insights to build your business with attractive visualizations, scheduled and automatic reports, alarms, and more.

Glew is a business intelligence platform created for online retailers, including e-commerce merchants, direct-to-consumer brands, multichannel retailers, digital agencies, and B2B vendors.

With tools meant to save time and minimize manual reporting processes, you can get data-driven insights sooner. Instantly access dashboards, automate regular reports and receive a daily performance overview straight to your mailbox. 

You can keep track of the numbers that matter. With sophisticated performance KPIs, pre-built visuals, and data filtering and segmentation, you can report on customers, goods, channels, subscriptions, and more.

3. Sisense

Sisense goes beyond standard business intelligence by allowing businesses to incorporate analytics in both customer and employee apps and workflows. This highly configurable, AI-driven analytics cloud platform that infuses intelligence in the right place and at the right time, every time is breaking down the barriers to analytics adoption by going beyond the dashboard.

Sisense is trusted by plenty of worldwide enterprises to innovate, disrupt markets, and make a difference in the world. Sisense has been recognized as one of Forbes’ Cloud 100, The World’s Best Cloud Companies, five years in a row, and has been ranked as the No. 1 Business Intelligence business in terms of client success.

4. Domo

Domo revolutionizes business by making data work for everyone. Domo’s low-code data app platform goes beyond standard business intelligence and analytics, allowing anybody to develop data apps to power any action in their company, exactly where work is done. Critical business processes may now be streamlined in days rather than months or years thanks to Domo’s fully integrated cloud-native platform.

It complements existing data warehouse and business intelligence (BI) technologies by allowing users to create bespoke applications, automate data pipelines, and make data science accessible to everyone through automated insights that can be shared with internal and external stakeholders.

The software features a user-friendly interface, which makes even complicated procedures and widgets accessible to non-techies. Analysts can add unique data, such as business-specific trend indicators, multi-part widgets, and sparklines, to their reports. Domo can help management gain actionable insights and make informed decisions and movements. This is how it assists business teams in successfully channeling their actions.

5. KNIME

KNIME is an open-source analytics tool for developing data science that uses a GUI-based approach to eliminate the requirement for coding knowledge. The system features a built-in modular workflow approach that documents and maintains the analytic process in the same order that it was developed and conducted, guaranteeing that interim results are always available.

KNIME is compatible with Windows, Linux, and Mac operating systems and is appropriate for businesses of all sizes. You can do everything from fundamental I/O through data manipulations, transformations, and data mining using KNIME. It streamlines the entire procedure by combining all of the functions into a single workflow. The solution is based on visual programming and covers all major data wrangling and machine learning approaches.

6. Qlik

Qlik Sense enables businesses to make better data-driven decisions and take action by giving them the tools they need. From visualization and dashboards to natural language analytics, bespoke and embedded analytics, reporting, and alerting, the system delivers enhanced analytics for every business requirement.

It combines human intuition with AI-powered insights to provide unrivaled data merging and exploration capabilities. It indexes your data’s relationships and reveals related and unrelated items as you click, exposing hidden insights that query-based tools might miss. It also does math as quickly as you can think.

Users can utilize Qlik Sense to go from passive to active analytics for real-time collaboration and action. With hybrid multi-cloud capabilities, you get comprehensive data integration, application automation, and the ease of SaaS.

7. Minitab

Minitab is a cloud-based statistical tool that can be used by small to big businesses in a variety of industries to find market trends, anticipate patterns, and display data. Statistical modeling, data sharing, time series, simulations, and distributions are among its key features. Professionals can enhance product design processes by using t-tests, one and two proportions hypotheses, normality testing, chi-square, and equivalence tests.

Minitab’s classification and regression trees (CART), logistic regression, factor analysis, and cluster variables allow data scientists to estimate business outcomes. Engineers can obtain insight utilizing scatterplots, bubble plots, box plots, and histograms, among other graphical outputs. It has a built-in assistant that walks users through the full analysis process and explains the data using summary, diagnostic, and report cards.

Minitab has been helping businesses and organizations notice patterns, solve issues, and uncover important data insights for more than 50 years by providing a complete and best-in-class suite of data analysis and process optimization solutions. Minitab makes it easier than ever to extract meaningful insights from data, thanks to its unsurpassed ease of use.

8. Impira

Using machine learning technology, Impira retrieves data from documents such as purchase orders, claims forms, and invoices. Without writing a single line of code, any business user can develop sophisticated automation with our no-code platform.

In just a few clicks, you can extract totals, invoice numbers, payment conditions, and more from many invoices. Then, you can export them into a spreadsheet. And you can Label photographs automatically to make searching by places, colors, and other features a breeze. To keep track of extra metadata, attach use contracts and invoices to photos.

Whether they are PDFs, scans, or pictures, automatically extract information like party names, effective dates, and renewal conditions from contracts. Impira will identify matches in your other files, regardless of document format, when you highlight the text you wish to extract. To train Impira’s platform and improve accuracy, review and confirm Impira’s auto-generated matches.

9. Scale

Scale Rapid is a labeling platform that allows Machine Learning (ML) teams to create high-quality training data fast. ML teams may acquire first labeled data in hours using Scale Rapid, allowing them to speed up testing and model building. This has evolved from a data labeling company to a software-based service provider. Its services assist businesses in gathering, annotating, curating, and cleaning up data, as well as building and monitoring machine learning models based on that data.

For investors seeking to profit from the present A.I. boom, data labeling and curating has become a popular investment. After branching out from its original concentration on picture and video data, especially for firms working on self-driving cars, Scale has evolved to become possibly the largest in the area. For enterprises in fields ranging from banking to logistics to government, the company now supports a wide range of both vision and natural language data.

10. Adverty

Adverty is a flexible end-to-end AI marketing analytics platform that enables data-driven marketers to make better decisions and boost campaign and channel success. Adverty makes spotting revenue-generating opportunities and demonstrating marketing ROI a breeze. Adverity’s powerful automated data integrations, data visualizations, and AI-powered predictive analytics allow marketers to analyze performance in a single view and discover new insights in real-time.

Adverty is a platform that allows businesses and organizations to connect and manage their data sources from a single location. It is made up of three parts: Adverty Datatap, Adverty Insights, and Adverty PreSense. Its primary components are standardized database and spreadsheet integration, a data quality monitoring system, and a transformation and calculation engine. It may be installed locally or hosted in the cloud.

Thanks to seamless data integration from over 600 sources, sophisticated data visualizations, and AI-powered predictive analytics, Advertty allows businesses to track marketing success in a single view and identify fresh insights in real-time. As a result, data-driven business decisions, enhanced growth, and a measurable return on investment are made.

11. Dynamic AI

Dynamic AI’s unique blend of technologies is relied on by VARs and IT developers all around the world. It automates the transmission of information, saves time, and gives users safe, quick, and simple access to their data. Dynamic AI has a database access system, an automated intelligence delivery system, design systems, data integration features, and application integration capabilities that are all unique. It is completely thin-client.

Secure encrypted communications, enforced password regulations and group membership, individual user security profiles, and other security features are all available with Dynamic AI. Server and Enterprise versions of Dynamic AI are available.

It can be installed on any server with a few users, or it can be used as a part of a multi-server system to satisfy the demands of both small and large enterprises. Web App end-to-end solutions are provided by Dynamic AI. Performance Metrics, Strategic Planning, and Data Analysis are all available in one spot with this.

12. Polymer

One of the best ways to make your spreadsheets searchable and intelligent is to use Polymer. There is no need for any technological setup. Polymer maps and finds relationships in your data using the most up-to-date AI data methods.

You can discover new information, create charts and graphs, and create reports in seconds. You can leverage data from Google, Facebook, and other advertising platforms to find the most effective creatives, optimize ad costs, and amaze your stakeholders. You may engage with your data in a more straightforward, visual manner right away. You can go from signing up to a fully constructed web interface that stores your data in less than a minute. Anyone can grasp Polymer’s interactive and automated approach to data analysis and pivot tables in minutes.

13. SAP BusinessObjects

The SAP BusinessObjects is a scalable and adaptable data infrastructure that makes it easier to uncover and share insights for smarter business decisions. Scalability from one to many tools and interfaces on-premise, in the cloud, or as a hybrid approach is enabled by the integrated, unified architecture.

This is a platform that connects people, information, and enterprises across business networks to help you improve company performance. SAP BusinessObjects Business Intelligence is a collection of reporting and analysis apps, each with its own identity, purpose, and functionality. The exploration tool allows users to explore through enormous amounts of data and create unique representations of their results.

14. MonkeyLearn

MonkeyLearn is a cloud-based text analytics tool that assists small and big businesses in developing bespoke machine learning (ML) models for sentiment analysis, subject categorization, intent detection, and entity extraction.

Support teams can use the program to automatically categorize, route, and prioritize request tickets. Customers’ input and opinions from reviews, chats, polls, comments, and support issues may be analyzed and used to improve the product roadmap.

MonkeyLearn assists programmers in creating text extractors that obtain specified keywords, characteristics, or entities from a text. It also includes historical tracking, tag prediction, classification, data input, process automation, and visualization, among other capabilities. It integrates with a number of third-party programs, including Zendesk, HelpScout, Google Forms, Airtable, Gmail, and others. Monthly memberships are available, and assistance is provided via email, chat, and phone.

15. Google Cloud

Google Cloud Platform (GCP) is a top-notch Infrastructure-as-a-Service (IaaS) solution that offers a variety of cloud services to Google users. Outstanding overall performance and remarkable AI and ML capabilities are among the features.

Google Cloud, which includes G-Suite and GCP, is a platform that offers a dependable and easy-to-use collection of solutions for tackling the hardest issues in any business. It offers safe storage, integrated data analytics, and complex processing capabilities. Users can create team discussions and work on projects with Google’s G-Suite platform, which includes productivity tools like Google Docs, Hangouts, Calendar, and Drive. G-Suite also gives customers the ability to customize their Gmail accounts.

Physical assets in GCP data centers across the world include computers, hard disks, and other virtual machines that aid with resource allocation and offer redundancy in the event of a breakdown or latency reduction. GCP has succeeded in bringing people into a serverless environment, eliminating the need for any infrastructure, by providing global, regional, and zonal resources.

The AppEngine on GCP assists in scaling the system to deliver the appropriate resources automatically. Any updates, as well as other tasks such as app hosting and monitoring, are handled. Google has brought the entire globe together on a single platform, allowing users to carry out tasks with pinpoint accuracy.

AI Analytics Tools Final Words

This article primarily focused on AI Analytics Tools. With the use of them, it is possible for businesses to gain some competitive advantage over their competitors and to excel in their markets. Needless to say, analytics play a very important role in today’s businesses. All sorts of companies from large ones to small ones usually spend a lot on analytics. But now that you know about AI Analytics Tools, you can make use of them for your business. They not only save time for you but make things efficient for you as well. So, now it is time you made use of them.