DATA AUDIT PROCESS.

Ready to revolutionize the way your business handles data? Our Data Audit process is designed for companies just starting with data and can help tackle major concerns, from data security to accuracy.

Let nouns.ai help maximize your profits and make your business surge ahead - by detecting errors in your Data!

We review technical and business risks plus provide short-term approaches for implementing the proposed use cases.

Viability Assessment

Defenition

Here, we define feasible use cases that would bring value to the business along with strategies for obtaining new data (e.g., scraping or generated material).

Use Cases

Ideation

Our team will assess the available data sources (including client-owned and public ones) to determine their viability. Additionally, we'll look into other sources that may serve as supplemental or complementary material. AI Assessment: We analyze use cases already in place in your industry and examine the level of AI maturity therein.

Data Sources

We work with you to discuss your business objectives and get a broad overview of its system and data infrastructure. We will also ask for access to any existing data models and data.

Briefing

Research

Nowadays, solid decision-making relies heavily on analytics, so having trust in your data is essential. With nouns.ai's 3-step Data Audit, you can easily uncover any potential issues that may have gone unnoticed.

Our tech stack.

Our team of developers, data scientists and designers provide a comprehensive tech stack.

AI & Data Science

Pytorch

DVC

Mlflow

Amazon
sagemaker

Google auto ml

Vertex AI

Azure AI

Scikit-learn

Tableau

XGboost

Seaborn

Databreaks

Fastapi

Matlotlib

Pandas

Numpy

Tensor flow

Air flow

Flask

Kubernetes

Microsoft power BI

Spark

Docker

R

Ploty

Mobile

Java

Swift

React Native

Flutter

Kotlin

Design

Figma

Photoshop

illustrator

Indesign

XD

React

Angular

Vue

Webflow

Front-end

Node

Python

Rails

Django

Back-end

Amazon web
services

Azure

Google Cloud

Systems