FREQUENTLY ASKED QUESTIONS
Please contact us if you have any questions.
To create a predictive ML model, you can briefly follow these steps:
Prepare your Core Set.
Ask your question if you know your data
Baseq will make sense of your data by selecting the most efficient model.
This process is designed for both business units and professional data scientists. It will help you build a great model and generate reports using BASEQ’s unique features.
A predictive question is a question you define when building a BASEQ model expressing the predicted output you expect to extract from the data set.
This question will vary depending on the business problem you want to solve.
For example, “What is the probability that customer segment [ABC] will experience [churn] (a specific activity) in [Q3 2025] (a specific period)?”.
The predictive question guides the model in learning from your data and making predictions.
BASEQ AI is a set of artificial intelligence applications developed to improve the processes of individual and corporate customers.
In particular, it enables users to process, interpret and visualize data without engineering skills, increasing their gains.
In general, since machine learning is all about extracting patterns from uploaded datasets, the breadth and quality of the dataset will affect the output. There is technically no limit to the amount of data you can link to your account, but it is limited by your membership features. We recommend that you have at least 1000 rows and 5 columns for your dataset.
BASEQ’s automated processes start with data quality, identifying and correcting common issues such as missing data, outliers, or duplicates. The platform also looks for relationships in your data, identifying new features to build, such as clusters, trends, and other key data points.
From hundreds or even thousands of potential features, BASEQ identifies the ones that matter for accurate predictions. These automated steps eliminate much of the tedious and time-consuming work required to create an AI-ready data set, leaving you to add the finishing touches. All this preparation improves the performance of end-to-end models and helps you get the most value from your data.
Don’t be afraid; this entire process is done automatically!
Connecting to different applications and solutions and importing your data is as easy as uploading a file like CSV.
The in-app navigation and controls allow you to connect the application and select data quickly.
Personal Data will be retained until your Personal Data (as described above), we no longer require the information and proactively delete it or you submit a valid erasure request. Please note that we will retain it for a longer or shorter period in accordance with data retention laws. We have an internal data retention policy to ensure that we do not store your Personal Data permanently.
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- “Quick” mode:
- The ideal approach for iterating your queries and training set.
- It allows quick browsing to see how different data elements affect accuracy.
- While this training method works faster, it may not produce the best possible accuracy.
- “Precise” Production quality mode:
- Used to train the production version of your model.
- It provides more granular control over the training process.
- Training will be slower but will produce the best possible accuracy.
It is usually recommended that you start with the “Quick” mode and retrain in production mode if the results are satisfactory.
First, BASEQ automatically trains hundreds of predictive models using various algorithms from the literature that are known to perform well on the types of data businesses typically have. Then, the models are all automatically tested and compared.
BASEQ also has an accessible capability that allows analysts to control the business metrics used to select the model that will answer your business needs. The best-performing model is selected for you to review and refine in the BASEQ interface and deploy when you are ready.
BASEQ’s Predictive GenAI allows you to build a (predictive) model to generate predictions for use cases by almost all business units, as long as you have the relevant data. Predictive processes guide users to define the right model and training data set to fit their business needs. In more technical terms, BASEQ joins your team as a powerful player by building different classification models and regression models that can address a wide range of business questions.
If you decide to delete your Account, you may do so by emailing [email protected]. If you terminate your Account, any association between your Account and the information we store will no longer be accessible through your Account. However, due to the nature of sharing on the Services, all publicly available activity in your Account before deletion will continue to be stored on our servers and accessible to everyone.
Predictive flow describes BASEQ’s estimation process and consists of several main parts:
These general headings cover the forecast flow and the process from data preparation to using forecasts.
BASEQ AI is positioned as a no-code platform for business units and a low-code platform for those with technical know-how, a tool that makes it incredibly easy to do faster, better and less costly.
When building and using AI for business use cases, BASEQ positions AI modelling with no-code use. No-code AI effectively uses machine learning (ML) and artificial intelligence (AI) without writing a single line of code. On the No-Code AI platform, users are only expected to upload their data and click a few buttons to get the results.
Everyone from entry-level business analysts to expert data scientists can easily harness the power of machine learning and AI with AI’s No-code AI and intervene at the code level.
You’ll be able to trust it with ease. Automated – new – approaches to predictive modelling are widely accepted and used by the most sophisticated data scientists who rely on AutoML tools daily to build, evaluate and select suitable predictive algorithms quickly. We have tested our automated methods for data cleaning, feature engineering and model building in our studies and with our customers.
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With your existing data, you can interpret the past and predict the near future. Getting results with converging ratios about the future makes it easier for you to review your workflows or strategies and work to get closer to your goals.
For example, You can predict your Q4 sales figures by enriching your 2023-2024 sales figures and different data types, and you can determine which channels will increase.
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BASEQ AI allows the inclusion of different data sources for forecasting datasets. The most well-known and used of these is CSV. You can directly upload a CSV file up to 25 MB to the platform.
Another popular data storage format is Google Spreadsheets. You can upload a Google workbook with multiple sheets to BASEQ AI.
After selection, all file controls will be shown to you, and you will be guided.
BASEQ is derived from the words “Base Query” and is addressed to enable all users with basic knowledge and technical knowledge/skills to quickly interpret data sets with the support of Artificial Intelligence and provide all the outputs and visualisations they need.
