Top enterprises have reaped the benefits of data science capabilities for years. Data science has become a key differentiator in the way companies stand out and compete in an increasingly unpredictable market. Competent leaders seek out mature, full-scale data science consulting services to help them identify revenue streams and grow faster.
Analyze the quality of your data to determine if it is good enough to provide signals for predictive modeling. Signal Analysis provides the foundation and insights for long-term model implementations and deployments. Our signal analysis offering is a common starting point for organizations that are new to Data Science or for new Data Science use cases.
Examine your data and design data pipelines, data quality checks, data catalogs, and data storage solutions for both Data Science and Analytics consumption. The success of Analytics and Data Science implementations depends greatly on the quality of the data and how it is structured and stored.
Explore your data and recommend strategic analytics initiatives to help improve your data quality, governance, and business outcomes. Provide roadmaps of your systems of intelligence journey and guidance to pick the best tools and technology after reviewing the business requirements and budget for long-term success.
Data visualization is only half the battle. Solve business problems using machine learning techniques like supervised, unsupervised, reinforcement learning, and share actionable insights that lead to results. Build machine learning models to uncover new business opportunities and enhance your customer experience.
Use advanced techniques like Natural Language Processing, Deep Learning, Robotics, Speech, and Vision to solve complex business problems. Simplify business processes with AI solutions to improve operational efficiencies and reduce cost.
Model performance degrades over time with constant changes to data and business processes. Having an ongoing
support and maintenance process is critical.
We recommend best practices for model deployment, monitoring, retraining, and management to support and maintain AI solutions at scale.
We’ve provided data science strategy and implementation services for businesses of all sizes, across industries and functions. From our years of experience, any company that has productionized machine learning models needs to adopt machine learning operations in order to seamlessly drive immediate action and value.
Our machine learning and data science projects involve data analytics, assessing, and building machine learning models. Our team of world-class data scientists has solved operational complexities related to supply chain management, evaluated business processes to prevent customer churn, and deployed extensive forecasting capabilities for financial risk management, all the while enabling companies to become truly data-driven.
From data collection, data preparation, data engineering, to evaluating machine learning algorithms, we are experts in MLOps. Regardless where you are on your MLOPs journey, we can see you through the finished line.
One of the business functions where we’ve seen the most AI adopt is service process optimization, where data science is heavily utilized to help companies make smarter and quicker decisions. A few common use cases include predictive maintenance and condition monitoring, warranty reserve estimation, propensity to buy, demand forecasting, process optimization, and route optimization.
For customers who:
In just 90 days, we create intelligent customer and user experiences, build machine learning models and AI systems to generate insights and take action to improve the experience.
The explosion of data science into modern boardroom vernacular has led to high expectations for the field. As we move toward the future, it’s important to us as a data science consulting service that we build confidence today in what AI and advanced analytics can do.
We understand the power of artificial intelligence and how it will shape the future landscape of businesses.
Through our Elevate managed services, we provide customers with ongoing support and enhancements of their data science and analytics solutions.
We’ve seen technology as a distraction first hand, and we know the importance of user adoption and how it plays a role in a project’s success. That’s why we also offer change enablement support to ensure your stakeholders fully understand the value of your data science investment and the long-term strategic impact it will have on your organization.
The data science consulting industry is booming for a reason. You may have explored out-of-the-box data science tools or solutions and quickly realized they will not scale. It’s not enough to simply create a data science solution and deploy. If it does not solve the business problem, or can not scale properly to continuously solve problems, it has no value.
Our data science service gives you the opportunity to get the insights and solutions you need without committing to a full-fledged data science team in-house, allowing for more diverse competencies and flexibility.
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