FAQ

This page contains the most Frequently Asked Questions

What is Predictive Analytics?

Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast future activity, behavior, and trends. It involves applying statistical analysis techniques, analytical queries, and automated machine learning algorithms to data sets to create predictive models that place a numerical value — or score — on the likelihood of a particular event happening.

What is Prescriptive Analytics?

Prescriptive analytics is a form of advanced analytics that examines data or content to answer the question "What should be done?" or "What can we do to make 'X' happen?". It is characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics, and machine learning.

What is AutoML?

AutoML (Automated Machine Learning) is the process of automating the end-to-end process of applying machine learning to real-world problems. It aims to make machine learning accessible to non-experts and to improve efficiency for experts by automating tasks such as data preprocessing, feature engineering, model selection, and hyperparameter tuning.

How does Graphite Note ensure data security?

At Graphite Note, we take data security very seriously. We employ robust security measures to ensure your data is protected at all times. This includes encryption of data at rest and in transit, regular security audits, and strict access controls. Read more here.

What types of data can I use with Graphite Note?

Graphite Note is designed to work with a wide range of data types. You can import data from various sources such as CSV files, databases, data warehouses. The platform can handle structured, tabular data (like numerical and categorical data).

How can I import my data into Graphite Note?

Importing data into Graphite Note is a straightforward process. You can upload data directly from your computer, connect to a database, or your data warehouse. Our platform supports a variety of data formats, including CSV, and SQL databases.

What kind of support is available if I need help using Graphite Note?

We offer a range of support options to help you get the most out of Graphite Note. This includes a comprehensive knowledge base, video tutorials, and email support. Our dedicated support team is always ready to assist you with any questions or issues you may have.

Can I use Graphite Note if I don't have a background in data science?

Absolutely! Graphite Note is designed to be user-friendly and accessible to everyone, regardless of their technical background. Our no-code platform allows you to generate predictive and prescriptive analytics without needing to write a single line of code.

What industries can benefit from using Graphite Note?

Graphite Note is versatile and can be beneficial to a wide range of industries. This includes but is not limited to retail, e-commerce, marketing, sales, finance, healthcare, and manufacturing. Any industry that relies on data to make informed decisions can benefit from our platform.

How can Graphite Note help with my specific business needs?

Graphite Note is a flexible platform that can be tailored to meet your specific business needs. Whether you're looking to improve customer retention, optimize your marketing campaigns, forecast sales, or identify trends, our platform can provide the insights you need to drive growth.

What training resources are available for new users?

We offer a variety of resources to help new users get started with Graphite Note. This includes step-by-step tutorials, webinars, and a comprehensive knowledge base. We're committed to helping you get the most out of our platform and will work with you during onboarding.

How to update a model with new data?

You can easily re-upload a CSV file with Graphite Note. This allows you to update or append new data to your existing dataset. More info on data update and append can be found here.

What is a tag?

A tag is a keyword associated with a model or dataset. It is a tool to group your models to easily find them, as you can filter your list by tags.

Also, you can create tags and manage them by clicking on the Account tab in the top-right of Graphite Note, and then the Tags drop-down item. You can also create a tag directly when you are importing a dataset or creating a model or notebook by clicking on Select tag and then Create & Apply. More info about tags can be found here.

What does parsing mean?

In programming, parsing refers to the process of analyzing and interpreting the structure of a sequence of characters or symbols according to a specific grammar or syntax. It is used in our application to understand and extract meaningful information from input data.

During parsing, a parser takes the input, which can be a program's source code or any other form of textual data, and breaks it down into a hierarchical structure that conforms to a predefined set of rules or grammar. This hierarchical structure is typically represented using a data structure such as an abstract syntax tree (AST) or a parse tree.

How does the free trial work?

Users can start their free trial of the SPROUT plan immediately. The trial is valid for the next 14 days. After 14 days, if you want to continue our service, you must subscribe to a plan in communication with our sales team.

What's the difference between the starter (SPROUT) and other plans?

The starter plan is primarily designed for individual users that want to upload CSV files and create machine learning models.

The starter plan has the same core functionality as higher plans but with the following limitations:

• Only one user in the workspace.

• Only CSV connector

• Max of 3 models can be created

• Number of total data source rows limited to 1 milion.

What is API access?

APIs enable you to easily upload your datasets by sending data directly to Graphite Note (Dataset APIs) or to pull your predictions into your ERP, CRM, internal app, or website (Prediction APIs). It is a way to process or display predictions outside your Graphite Note account. More about APIs can be found here.

What is a Dedicated Data Scientist?

With Graphite Note, you have the option to add a Dedicated Data Scientist to your team. This is an expert in machine learning and data science who can assist you and your team with any questions or concerns you may have. They can also provide hands-on support with tasks such as data cleaning and improving the performance of your models.

Can I extend my trial?

We can extend your trial beyond the one-week default period in certain circumstances. Don't hesitate to get in touch with us before the end of your trial if you'd like to discuss this further.

Special Discounts for Academia and Startups?

Our SaaS platform provides no-code predictive analytics, making data analysis accessible to everyone. As a company, we are dedicated to supporting the academic and startup communities and offer generous discounts to these groups.

If you want to hear more about our offerings, don’t hesitate to reach out to us!

Reputable Provider

Graphite Note runs on platforms belonging to reputable leading service providers and vendors that uphold the highest security standards, specifically: Amazon Web Service (AWS).

I want to know more about Data Science and Machine Learning lexical terms

For every lexical term you can check on the machine learning glossary.

How is Graphite Note different then Gen AI?

In summary, Graphite Note is a specialized tool for predictive analytics and data-driven decision-making, whereas Generative AI focuses on creating new content based on prompts. Both have unique strengths, but they serve to vastly different business and creative needs.

Graphite Note specializes in machine learning tasks like regression, classification, and actionable insights based on structured datasets. It’s tailored for business scenarios such as sales forecasting, churn prediction, or lead scoring, Generative AI excels at generating unstructured outputs such as creative writing, dialogue generation, or designing visuals based on prompts.