Predict, anticipate, and react to a dynamic marketplace using a holistic approach to data and analytics.
Businesses that approach data and analytics capabilities as separate silos are a huge step behind. These two related but previously separate fields must now be treated and integrated holistically, leveraging Artificial Intelligence (AI) tools, in order to make the most impact in today’s Big Data-saturated and insight-rich marketplace.
By 2023, more than
of large organizations will have analysts practicing decision intelligence, including decision modeling.
By the end of 2024,
of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.
Analytics gives you the insights you need to mitigate risks and forge ahead. Extract insights from your data and empower decision-making across the business value chain with our analytics services.
Social Media Analytics
Data stores needed in modern applications could be a mix of relational and non-relational database systems. We analyze your specific requirements and select the best-fit storage solution for your application.
Columnar/ Key-Value Stores
Visual representation makes data easy to digest. We employ proprietary and open-source visualization tools to help you understand patterns in data. Easily drill down or view the big picture at will.
Data Science and Machine Learning
Machine learning involves teaching machines to make data-driven predictions by training them on known models. From weather forecasting systems to medical image analysis, we understand how to apply machine learning algorithms to build solutions that address domain-specific problems.
Neural Networks/Linear Regression Models
With our deep expertise in machine learning, we design and build self-improving business systems for various business sectors integrating technologies such as natural language processing, big data analytics, and Internet of Things (IoT).