Data Science for Finance & Accounting

Data Science for Finance & Accounting Teams

We know that as a financial expert, you’re expected to come up with more than just numbers. Executives, investors, and even operations staff have come to expect and rely upon real-time dashboards. Without the right technology, this can be frustrating or nearly impossible.

Drive Growth

Dedicated to Data helps companies to expand and grow their business through highly granular insights about existing customers, their buying behaviors, needs, habits, and patterns. We use these customer level insights to build a highly customized, customer-centric model that will allow you to accelerate revenue growth.

Manage Risk and Reduce Losses

Dedicated to Data’s founder holds a degree in Security and Risk analysis from the Pennsylvania State University. We bring extensive expertise to the table in helping companies to evaluate risks and manage exposure. Financial data mining is performed to identify opportunities for active risk intervention and automated fraud detection.

Optimize Operations

We can help you to leverage multi-channel operations data to better understand how your business functions. Bottlenecks, trouble areas, low-profit customers and channels, and more can all be easily identified and sometimes corrected through data. Improve adoption of alternative, low-cost channels by understanding customer behavior on a granular level.

Manage Customer Data

Data is the most important resource for financial teams. Therefore, effective data management is a key for business success. These days, financial data is highly diversified in structure – it includes information from the transaction level details all the way to social media accounts and general ledgers. Processing semi-structured or unstructured financial data poses a large problem for financial specialists, especially when it comes to normalizing financial data.

Predictive Analytics

Predictive analytics are now at the core of financial services, often behind the success of major companies. Predictive analytics can reveal patterns in the data that may foresee future events that can be acted uponĀ now. By understanding internal data sources, news trends, social media, and other data, sophisticated analytics can now predict prices, customer lifetime value, anticipated churn, sales forecasts, and even stock market moves. Most importantly, predictive analytics can help analysts understand the best way to intervene at the present time.

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