Data Platform Overview

A robust data ecosystem offering seamless ingestion, transformation, storage, and access to critical market data.

Trends chart 1
Trend Insights

Modern Analytics Platform

Berkindale Analytics offers a sophisticated B2B cloud-based solution providing market data, financial news, social media, and packaged analytics as distinct products to customers through direct download, API, and dashboards accessed from a web portal.

Forecasting

Thinking outside the Box

The Berkindale platform uses machine learning technologies, data mining trends, and sentiment analysis with natural language processing which enables firms to maximize the value of the data. We provide real-time market data analytics to deliver timely, actionable insights to our clients. When implemented effectively, scalable big data technology can help institutions go beyond improving industry-specific problems such as risk management, reporting compliance, operational efficiency, backtesting, or pre and post-trading metrics. The right data will enhance all revenue-generating functions in any institution from digital marketing spending to comparing a firm's performance to competitors.

Forecast chart
Forecast chart
Forecasting

Evolving Landscapes

The growing complexity in financial markets and the persistent need to comply with regulators have made it crucial for financial institutions to invest in big data analytics. Data-driven models play a significant role in firms that wish to optimize trading and augment the effectiveness of front-office sales on top of ensuring client retention.

Use Cases

Use Cases

Explore how this product delivers value.

We boost and augmented intelligence by helping our users to make better and faster decisions, and take smarter actions to continually improve their goals and level of performance.

Thanks to AI and ML we have built an automated platform. Which eliminates all the boring tasks people don't like to do… Eliminate all the noise, and free the human So, that way they can focus on opportunities and reach their goals and objectives fasters.

Since our algorithms have been built from what happened in the past, they are continually learning from themselves. Which helps us to get a better understanding and also predict what is coming in the future.