Serving the US market, newData is a new data science consulting agency located in the Nashville Metropolitan Area. Our data scientists, mathematicians and data architects stem from the US, Europe and Asia.
Our marketing analytics solutions are specially designed for the unique needs of our clients. We also provide a range of cutting-edge AI solutions through our collaboration with some of the world's leading universities and companies. Our goal is to help organizations use AI technologies (machine learning) and statistics to boost profits, cut costs, and reduce risk. If you're wondering why machine learning has surpassed statistical prediction, read our blog posted on medium.com.
Like a person surrounded by an ocean without a drop to drink, a business can drown in information it cannot consume. If you want to stay ahead of a rapidly changing business environment, efficiently managing the complexity is essential. Fortunately, much of it can be simplified without adverse consequences. The first step in becoming a true data-driven company is to take advantage of data you're not leveraging. Underutilized data means lost opportunity! This is where newData can help. If you are local and looking for AI consulting in Nashville schedule time for an in-person visit. Where ever you are, you have come to the right place. newData can help your business gain valuable insights that leverage more – if not all – your data to drive improved decisions. Our cross-industry sector experience and deep knowledge of how to fit the right machine learning models with unique data is one of our comparative advantages. At newData, we make you the boss of your data. If you are looking for a data science consultancy or a reliable technology partner to create innovative, market-leading solutions, we are here to help! Contact us today to get started.More
How can your business benefit from predictive analytics?
AI Applications
Fraud detection
Disease diagnosis and prediction
Customer acquisition
Operating room bottlenecks
Customer retention
Symptoms and health concerns
Customer behavior
Over-prescription
Cross-selling
Earlier cancer detection
Collections
Patient survival
Cash/liquidity planning
Research-enhanced insights
Marketing optimization
Care transitions after surgeries
Customer Lifetime Value (LTV)
Computer vision
Application screening
Conversational AI
Recommendation systems
Mobility AI
Demand forecasting
Internet of Things (IOT)
Maintenance planning
Machine-to-Machine (M2M)
Product design
EHS risk
Customer insights
Cyber Security AI
Sentiment Analysis
Ratings and Reviews Analysis
newData has a broad array of statistical and machine learning prediction capabilities. Our data scientists work on multiple, exciting use-cases across business sectors. We begin our predictive analytics engagements with an exploratory discussion, our first step in the discovery process. At newData, we have developed a 5-step comprehensive approach begins with a conversation about our clients’ unique situation. For more information on our process, please see newData Tech Implementation process. Or, if you happen to be in the Nashville area and want to nerd out on machine learning applications, give us a call. We'd love to chat!
What is predictive modeling?
Predictive analytics
Data science can reveal hidden patterns and ultimately insights that lead to specific cost saving or revenue-enhancing actions. How this is done, however, depends on the business and/or industry sector. If you're wondering how AI fits in, please check out our blog post What is Artificial Intelligence?
Retailers may employ sales analytics to optimize transactional data, marketing analytics to predict customer behavior, and HR analytics to hire, promote and retain the right talent.
Healthcare providers and researchers utilize a variety of different data science methods and techniques to apply analytics on their data. But given the depth and breadth of this industry, it is not hard to image how predictive techniques moves with it. For example, one of our AI healthcare partners, Decode Health - a predictive modeling company in Nashville, identified specific RNA patterns that accurately distinguished among healthy patients, patients with autoimmune disease, and patients with conditions that closely resemble autoimmune disease. Whatever your business, you can count on newData'a Data Science Consulting solutions to help solve problems and make things more efficient.
The hallmarks of a robust machine-learning framework
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AI Platform for Data Science
Like any profession, Data Science relies on the tools of its trade such as Machine Learning, Artificial Intelligence, and Predictive Modeling. Unique business needs require unique solutions. In Data Science, one size does not fit all. newData’s custom AI solutions can utilize virtually every machine learning algorithm in the public domain (and, yes, all of it is publicly available). We use common analytical programming languages such as Python and R on robust platforms like Tensor Flow and Rapidminer that speed up machine learning workflows. Besides processing data efficiently, our platforms integrate easily with other software, providing a code-based environment for experts or a visual workflow to assist beginners. It is also fully automatable for native and 3rd party and custom machine learning assemblies. All of this creates an interconnected analytical ecosystem that delivers efficiency at scale.More
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Business Goals
newData begins a predictive analytics engagement by understanding our client’s business goals. We translate broad aspirations into precise, measurable, and observable business outcomes to prescribe a specific data optimization solution. This ‘discovery’ happens in the first phase of our proprietary technology implementation process. While a business goal is broad (by definition), it is typically specific enough to point us in the right direction. For example, ‘revenue generation’ may be translated into a specific sales target objective. Or, improving a sales team’s productivity may translate into identifying the most relevant metrics for a salesperson to convert a qualified lead into a sales opportunity. In summary, broad business goals lie at the intersection of more specific and symbiotic business and data science objectives. newData can help your business harness data to turn business problems into predictably profitable business solutions.More
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Data Science Objectives
While data science objectives are not the same as business objectives, they are intricately connected. Our seasoned data scientists know how to translate what the business seeks to accomplish into a problem that can get solved quantitatively. For example, a business may want to optimize a marketing budget. A data science objective for such an objective often involves a mathematical prediction. To minimize the cost of a marketing promotion, a machine learning model that can predict which target audience segments are most likely to respond to a marketing offer can be generalized and applied to future customer acquisition and cross-sell marketing campaigns. To account for different states of uncertainty, a model’s prediction can be simulated to suggest a range of possible outcomes depending on what assumptions and scenarios are most applicable. Similarly, a model’s prediction can identify the most important features that describe or predict an event. By knowing what to prioritize, a business can save money by allocating resources more efficiently. In all cases, what is important is the ability to interpret what the business needs and what data science objectives can lead to actionable strategies and tactics. This is where newData excels.More
The hallmarks of a robust machine-learning framework
1
AI Platform for Data Science
Like any profession, Data Science relies on the tools of its trade such as Machine Learning, Artificial Intelligence, and Predictive Modeling. Unique business needs require unique solutions. In Data Science, one size does not fit all. newData’s custom AI solutions can utilize virtually every machine learning algorithm in the public domain (and, yes, all of it is publicly available). We use common analytical programming languages such as Python and R on robust platforms like Tensor Flow and Rapidminer that speed up machine learning workflows. Besides processing data efficiently, our platforms integrate easily with other software, providing a code-based environment for experts or a visual workflow to assist beginners. It is also fully automatable for native and 3rd party and custom machine learning assemblies. All of this creates an interconnected analytical ecosystem that delivers efficiency at scale.More
2
Data Science Objectives
While data science objectives are not the same as business objectives, they are intricately connected. Our seasoned data scientists know how to translate what the business seeks to accomplish into a problem that can get solved quantitatively. For example, a business may want to optimize a marketing budget. A data science objective for such an objective often involves a mathematical prediction. To minimize the cost of a marketing promotion, a machine learning model that can predict which target audience segments are most likely to respond to a marketing offer can be generalized and applied to future customer acquisition and cross-sell marketing campaigns. To account for different states of uncertainty, a model’s prediction can be simulated to suggest a range of possible outcomes depending on what assumptions and scenarios are most applicable. Similarly, a model’s prediction can identify the most important features that describe or predict an event. By knowing what to prioritize, a business can save money by allocating resources more efficiently. In all cases, what is important is the ability to interpret what the business needs and what data science objectives can lead to actionable strategies and tactics. This is where newData excels.More
3
Business Goals
newData begins a predictive analytics engagement by understanding our client’s business goals. We translate broad aspirations into precise, measurable, and observable business outcomes to prescribe a specific data optimization solution. This ‘discovery’ happens in the first phase of our proprietary technology implementation process. While a business goal is broad (by definition), it is typically specific enough to point us in the right direction. For example, ‘revenue generation’ may be translated into a specific sales target objective. Or, improving a sales team’s productivity may translate into identifying the most relevant metrics for a salesperson to convert a qualified lead into a sales opportunity. In summary, broad business goals lie at the intersection of more specific and symbiotic business and data science objectives. newData can help your business harness data to turn business problems into predictably profitable business solutions.More
newData created synthetic data that Funnel Metrics used to mimic a sales organization of different sizes, structures and complexities. We used this data to power Funnelocity® our Salesforce performance management app. newData also developed a custom machine learning model for us that predicts which salespeople are most likely to reach their potential. By using newData’s modelling approach, Funnelocity® provides continuous insights to analyze and identify the metrics, KPI’s & skills that have the greatest impact on sales achievement. Thus, enabling sales managers to focus on improving their sales team's performance, instead of spending valuable time analyzing data.
Michael Mooradian, CEO
Funnel Metrics
How we're different
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Data science is core to our business. If you have data, let us help you optimize it.
