PREDICTIVE MODELING

SOLUTIONS

PREDICTIVE MODELING

SOLUTIONS

EXPLORE THE BENEFITS OF OUR PREDICTIVE MODELING SOLUTON

We build and deploy artificial intelligence models that can help businesses reduce costs, increase revenue and mitigate risks

Domain knowledge, leading Ai technology, and passionate data scientists are the raw ingredients to our secret sauce

Ai Platform

Flexible platform

Visual workflow for all users
Code-based for experts
Integrate with other software

Transparency and governance

Secure, easy to trust, fine tune and explain.
Detect bias and drift.

Lightning fast and efficient

One-click deployment
Resuable workflows
Full automation – native 3rd-party and custom ML assembly

Our technology, your advantage

Scale

Although our Ai platform can be deployed at the enterprise level, it can be used just as effectively for a smaller company. That’s what we do, help small to mid-sized businesses with limited data science technological and people resources enable data science. We take the hassle and complexity out of Ai so you can focus on what your business does best.

Accuracy and Precision

The intersection of technology and seasoned data science professionals ensures that our clients get the most accurate and precise modeling solutions.

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Automation and Speed

A key benefit of Rapidminer’s Ai platform is the increased speed and reduced costs that comes with process automation. Whether it is reducing the amount of manual data entry and error checking in structured or unstructured text to the efficient deployment of models and the measurement of its impact, newData’s data science team can leverage the full automation capabilities of our Ai platform.

Ai Platform

newData’s Ai engine is powered by Rapidminer, a world leader in Data Science and AI platforms. Our talented data science team leverages this platform to build and deploy powerful predictive models, segmentations, and simulations. We customize every solution without the expense.

Competitive Prices

Ai is all about efficiency. This means that our solutions perform tasks faster and with fewer errors than without them. This fundamental concept translates to how we work too. So, this means that our solutions cost less to develop. We pass the savings to our clients. Higher quality at lower prices is what we do.

EPredictive Modeling 101

EPredictive Modeling 101

Our machine learning platform is powered by Rapidminer, a world leader in Ai technology, and our team of certified newData scientists

MODELING

We build and deploy artificial intelligence models that can help businesses reduce costs, increase revenue and mitigate risks

E

Our machine learning platform is powered by Rapidminer, a world leader in Ai technology, and our team of certified newData scientists

End-to-end collaboration platform

Team-oriented – beginners to experts.
Code-based and visual workflows.

Lightning fast business impact

One-click deployment and business impact.
Productivity & performance enablement.

Depth for data analysis

Native 3rd-party and custom ML assembly.
Augmented analytics: guided to full automation.

Full transparency and governance

Secure, easy to trust, fine tune and explain.
Detect bias and drift.

EWhat is predictive modeling?

DREAM is our model integration process

Click on a letter to find out more

Machine learning success is built by working effectively with people, not just machines.

We believe in collaborate engatement

We begin the DREAM process by gaining an understanding of your business challenges or identifying new opportunities. We show how these outcomes can be harnessed with data, technology and analytics. We are enthusiastic about quantifying the impact of closing performance gaps and growing your share of the pie.

Once we get a general understanding of your data, we develop a business intelligence roadmap using our proprietary DREAM process. It includes best practices in design, dashboard development, analytics, implementation and measurement. Our dashboards are easy to navigate, so they get used. They are actionable, so they impact the bottom line.

While we are on point to create the dashboard, our development process is highly collaborative — we call it Iterative Dashboard Development (IDD). This means there are never any surprises. Each dashboard is customized to fit your business like a glove.

After an engagement, we stay connected to ensure your business continues to reap the benefits of increasing revenue, lowering costs or mitigating risks.

EA simpler way to integrate tech solutions

DREAM is our model integration process

Click on a letter to find out more

Machine learning success is built by working effectively with people, not just machines.

We believe in collaborate engatement

We begin the DREAM process by gaining an understanding of your business challenges or identifying new opportunities. We show how these outcomes can be harnessed with data, technology and analytics. We are enthusiastic about quantifying the impact of closing performance gaps and growing your share of the pie.

Once we get a general understanding of your data, we develop a business intelligence roadmap using our proprietary DREAM process. It includes best practices in design, dashboard development, analytics, implementation and measurement. Our dashboards are easy to navigate, so they get used. They are actionable, so they impact the bottom line.

While we are on point to create the dashboard, our development process is highly collaborative — we call it Iterative Dashboard Development (IDD). This means there are never any surprises. Each dashboard is customized to fit your business like a glove.

After an engagement, we stay connected to ensure your business continues to reap the benefits of increasing revenue, lowering costs or mitigating risks.

EA simpler way to integrate

Modeling use cases

Fraud detection

Risk managers decrease losses by predicting fraudulent transactions using powerful anomaly detection algorithms and synthetic data to establish baseline performance.

Customer acquisition

Marketing managers at banks increase revenue by predicting profitable customer segments likely to respond to specific digital and traditional marketing solicitations.

Customer retention

Marketing and operations managers minimize lost revenue by proactively implementing retention strategies for accounts likely to churn.

Customer behavior

Marketing managers increase customer engagement by personalizing messages to behaviorally-based segments while risk managers ensure that the default risk of customers in these segments do not exceed a pre-defined or dynamic threshold.

Cross-selling

Marketing managers increase existing account profitability by identifying the “next-best action” based on the customer’s expectations, propensities, and likely behavior.

Collections

Collection managers increase debt collected by predicting which delinquent loans are mostly likely to be recovered.

Better cash/liquidity planning

Credit managers track past usage patterns of customers at ATMs, branches and online locations to predict the relevance of new liquidity instruments that may better serve their needs.

Marketing optimization

The marketing team can utilize past multi-channel campaigns to inform how the overall budget can be allocated and to target customers with right message at the right time.

Customer Lifetime Value (LTV)

A customer’s lifetime value provides information about how long to expect the customer to stay with the bank and how much income the bank is likely to generate. Predictive models can move customers’ profitability and retention by identifying the attributes of the best customers.

Application screening

New account specialists process huge volumes of applications, without excluding important variables, without delays or errors, without growing tired- all of it with regularity and steadiness.

Disease diagnosis and predictionMedical professionals improve the healthy outcome of patients by decreasing the misdiagnosis of diseases and increase the accuracy of prognoses

Operating room bottlenecksClinicians combine real-time data with information about event scheduling to improve workflows, the timeliness and relevance of important notifications, and the handoff of a patient from one area to the next.

Symptoms and health concernsChatbots improve health outcomes of patients by listening to symptoms and health concerns and then guides that patient to the correct care based on its diagnosis.

Over prescription of antibiotics to babiesNurses apply the results of a predictive model using a risk calculator that better targets newborns who are at the highest risk for sepsis without exposing those at low risk to antibiotics.

Earlier cancer detectionOncologists improve the odds of their patients surviving cancer by improving the quality of screenings, diagnostic tests, and blood work.

Research-enhanced insightsRadiologists improve the odds that their patients survive cancer by augmenting their diagnoses with the latest cancer research by analyzing scanned images and comparing them to findings.

Care transitions after surgeriesHospital administrators reduced length of stay for patients receiving total hip and knee replacements by predicting which patients required inpatient rehabilitation and who would recover at home.

Machine Learning (ML) is no longer a “nice to have” for manufacturers. To remain competitive, manufacturers must use ML to optimize factory workflows, forecast demand for products and components, minimize product defects, reduce production and supply chain disruptions.

Demand forecasting

Forecast demand for manufactured product or component to allocate resources most profitably

Maintenance planning

Proactively anticipate maintenance needs by predicting unscheduled workflow disruptions

Product design

Reduce warranty claims by improving product design based on historical service patterns

Customer insights

Segment customers based on product features, support logs, pricing, and competitive offerings

Environment, health and safety (EHS) risk

Reduce EHS risk by predicting the drivers of non-compliance

We’re excited to add use cases for many industries.

Please be patient as we grow!

We’re excited to add use cases for many industries.

Please be patient as we grow!

Using past data to learn what is likely to happen in the future, identify actionable insights, and intervene to reduce costs, increase revenue and mitigate risks.

newData's predictive modeling solution sets it apart from the competition

newData's proprietary modeling integration process

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