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Predictive Analytics

Our AI Services

  • Use-case discovery
  • Data exploration
  • Model development
  • Model deployment
  • Process automation
  • NLP platform
  • Advanced analytics
  • Synthetic data

newData is a data science consulting agency located in the Nashville Metropolitan Area. Our goal is to use machine learning and statistics to assist businesses increase profits, reduce costs, and mitigate risk. We offer predictive analytics marketing solutions tailored to the specific needs of our clients, as well as a range of AI solutions in partnership with top universities and niche AI businesses.

How can AI help
your business?

Common AI Use Cases

Sales & Marketing

  • Customer acquisition
  • Customer retention
  • Customer behavior
  • Cross-selling
  • Personalized marketing
  • Predictive lead scoring
  • Funnel metrics opt.
  • Lifetime Value (LTV)
  • Prod. recommendations
  • Response rate opt.
  • Real-time targeting
  • Digital attribution
  • Sentiment analysis
  • Customer insights
  • Product design
  • Data-driven SEO

Technology

  • Internet of Things
  • Recommender systems
  • Conversational AI
  • Computer vision
  • Cyber security
  • Machine-to-Machine

Healthcare

  • Disease diagnosis
  • Disease prediction
  • Surgery bottlenecks
  • Health concerns
  • Earlier cancer detection
  • Patient survival
  • Care transitions

Pharmaceutical

  • Drug discovery
  • Clinical trial design
  • Personalized medicine
  • Over-prescription

Financial Services

  • Risk management
  • Investment mgt.
  • Credit scoring
  • Underwriting
  • Fraud detection
  • Collection recovery
  • Cash/liquidity planning
  • Predictive maintenance

Human Resources

  • Application Screening
  • Recruitment and hiring
  • Performance mgt.
  • Talent mgt.
  • Employee retention
  • Learning & development
  • Employee engagement
  • Compliance and policy

Transporation

  • Autonomous vehicles
  • Traffic management
  • Route optimization
  • Transportation
  • Fleet management
  • Cargo and logistics
  • Mobility AI

what is predictive modeling?

What is artificial intelligence?

Both business and scientific communities have learned to successfully use machine learning and statistics to provide predictive analysis, yet machine learning has increasingly become the preferred analyzation method. Before looking at why,...

Introduction to Predictive Analytics for Marketing – Part 1 of 3

Predictive analytics is a tool that helps companies understand and forecast customer behavior by analyzing historical data and identifying patterns and trends. It can be used in marketing to optimize campaigns, improve...

Types of Machine Learning

Just when you thought you had machine learning (ML) figured out, you find a new type waiting to be discovered. If you’re a marketer or data scientist, staying up-to-date on the different...

Our Synthetic Data Platform

Who uses synthetic data?

Software Developers

developer

Common problems faced by developers

  • Slow data pipelines
  • Insufficient data to develop and test software
  • Scenarios to stress tests systems are unrealistic
  • Data migrations have unknown outcomes

Synthetic data solutions

  • Bypass the pipeline altogether with synthetic data
  • Build and test software with new data
  • Create fake data to account for more scenarios
  • Test data migration process before migrating

Data Analysts

DA

Common problems faced by data analysts

  • Insufficient data to train predictive models
  • Machine learning models are biased
  • Models do not perform when implemented
  • Restricted access to sensitive data

Synthetic data solutions

  • Create fake data to train and test models
  • Balance models with unbiased classes
  • Improve the representativeness of the data
  • Work with data that resembles sensitive data

How can your business benefit from synthetic data?

Tonic is a synthetic data platform offered by newData that helps developers create products and data analysts maintain compliance and security. By reducing the time required for development and analysis, Tonic can streamline your workflows and ensure the preservation of privacy through the use of synthetic data. Additionally, Tonic integrates seamlessly into existing pipelines, making it easy to incorporate into your existing workflows.

Why Fake Data Matters

Data is the lifeblood of business today. It's what we use to make informed decisions about where to allocate our resources, how to improve our products and services, and who our target...

Exploring the Advantages of Synthetic Data

Synthetic data is artificially generated data used for the development of software, testing, and training machine learning models. In some cases, it has advantages over real data, including the ability to generate...

Sign-up for a real fake demo

With our Tonic.ai platform, you can replace inefficient in-house solutions and outdated legacy tools with a system that allows you and your team to generate synthetic data that accurately reproduces the relationships, schema, expressions, and privacy regulations of your production data.

On the call, you will be joined by a Real. Fake. Data.™ expert who will discuss how Tonic.ai is working to make the world a better place through its synthetic data solutions, as well as a solutions architect who can answer any technical questions you or your team may have.

During the call, we will cover the following topics:

  • Your business goals and how synthetic data can help meet them
  • An overview of the platform’s features, integrations, and real-world applications
  • The different licensing options available, including hosted and self-hosted options
  • Any questions you may have about your specific data, infrastructure, or use case.
Book a Real Fake Data Demo

The Intersection of Business and Data Science

newData's predictive analytics framework provides a simple and effective way to align company goals with data science techniques.

 

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Business Goals

  • Increase revenue
  • Decrease costs
  • Mitigate risks
Business Goals Data Science Objectives newData Predictive Analytics Framework
  • Thousands of algorithms, data prep and data science functions
  • Built in scenario-planning technology
  • Fast and easy model deployment with automation where needed

Data Science Objectives

  • Predict future outcomes with accuracy and precision
  • Prioritize strategies using scenario-based predictive modeling
  • Optimize drivers of business performance

Companies that utilize newData's predictive analytics framework have discovered a powerful way to easily and quickly integrate their goals with the use of data science methods. This not only saves time, but also helps ensure that outcomes are achieved according to predetermined criteria. The integration of data science techniques into the overall goal-driven ecosystem allows for more accurate decision-making and higher ROIs over the long term. Automation of processes such as customer segmentation, risk management and predictive maintenance further streamlines operations while boosting efficiency.

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

Ready to get started?

Data science is core to our business. If you have data, let us help you optimize it.

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