Business Insights Through Data
Bring Your Data to Life
Data is transforming the business landscape, but complexity and volume can make it difficult to extract value. Knowledge and insights extracted from large datasets can help businesses make informed decisions and help companies win in an increasingly competitive global marketplace.
Data Science can help uncover patterns obscured by the noise of large datasets.
This interdisciplinary field draws from many skill sets including business analytics, business intelligence, mathematics, and software development among others. Maestral uses standard data science and data engineering techniques to build reliable and highly scalable analytical data solutions.
From classifying data to building predictive models, we are adept at leveraging machine learning, business analytics, and big data to achieve your data related objectives.
Your Data in Action
We can provide tools and an iterative process to help tame an increasingly taxing data landscape. By first addressing the challenges of collecting and transforming raw data originating from many disparate sources, Maestral can create a holistic strategy to help you make the most of your data.
As part of the initial data discovery phase, all suitable structured and unstructured data sources are identified and evaluated. Our DevOps and DataOps engineers then automate the process of collecting, transforming, and storing the raw data into useful big data structures.
Traditional analytics are not well-suited to deal with the volume, velocity, and variety of today’s big data. We apply advanced statistical analytics and machine learning against the large data sets to uncover patterns, identify trends and build predictive models.
Reports containing visualizations are then used to present the findings of analytics and modeling, making it easier to gain useful insights into the data. These insights enable leaders to draw meaningful conclusions and make critical business decisions.