LoopBrackets transform your raw data into real knowledge with its Business Intelligence Solutions. We can help turn your data into actionable insights so you can make bolder, better, profitable, and more actionable business decisions.
We render, a full range of BI services aimed at leveraging business analytics to drive cost savings and improve performance
Our expert team, after studying your IT and business infrastructures, will map the requirements for future BI and advanced analytics solutions. This includes needed reports, KPIs, alerts, and integrations required by user groups and their special use cases. In less complex instances, we will suggest a ready-made solution from a third-party vendor, helping you integrate that solution into your workflow. In case you’re looking to modernize your existing BI solution or build a fully custom one, we can start by providing data mining services. We will prepare, cleanse, and model data to design a data warehouse (DWH) architecture.
When the DWH is ready, we will test, implement, and embed the product’s functionality into other systems. Ultimately, the product, enabled with historical and real-time data, will present you with visualization tools, reports, collaboration opportunities, email integrations, and alerts – all customized for your operational processes and industry specifics.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Since there is no compilation step, the edit-test-debug cycle is incredibly fast.
Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Django helps developers avoid many common security mistakes by providing a framework that has been engineered to "do the right things" to protect the website automatically.
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab (FAIR). It is free and open-source software released under the Modified BSD license.
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.
Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python
NumPy is the fundamental package for scientific computing in Python. NumPy arrays facilitate advanced mathematical and other types of operations on large numbers of data. Typically, such operations are executed more efficiently and with less code than is possible using Python's built-in sequences.