The ultimate goal of Data Science is to help organizations make better decisions to gain competitive advantages and maximize their effectiveness, moving from intuitive to data-driven decision-making.
We’re here to help you develop your Data Science strategy and harness the hidden value in structured and unstructured data.
At ELEKS, we believe visualization is the key to data-driven organizations achieving efficiency and effectiveness in their value creation process -- improving the effectiveness of daily decision making. Analytical dashboards and real-time visualizations answer specific business questions asked at the beginning of data science projects. Meaningful visualization helps decision makers focus on the most important issues in their business, as well as create available time to interpret results from project modeling stages to reaffirm decisions or set a new course of action.
When developing mission-critical Big Data solutions, our team of data scientists and engineers thoroughly analyzes business and technical requirements in each step of the data processing pipeline. Considering various technical requirements, we choose the most appropriate data processing approach:
Often Big Data processing alone is not sufficient to solve a business problem. To derive useful insights from large chunks of raw data, our experts in math, statistics, and machine learning apply predictive modeling to support data-driven decision-making. Deep learning algorithms such as deep belief networks, convolutional neural networks, and deep Boltzmann, are supported by our experience in High Performance Computing (HPC). Using GPGPU to train highly dimensional neural networks allows us to quickly train hundreds of models with different hyper parameters, and deploy them for customers’ mission critical applications.