Daybreak Analytic Database

Cultivating a long-term customer relationship requires intelligent marketing efforts based on a solid understanding of the types of products a particular customer or group of customers would most likely be interested in based on their past behavior. Aunalytics has nearly a decade’s worth of experience assisting our clients with data analysis projects and now offers the fruits of that experience as the Product Propensity Report Framework for our Daybreak™ Analytic Database subscribers. The Product Propensity Report Framework (PPRF) provides a customized dataset with an individualized analysis of every customer’s propensity for new financial services products by type. Think of it like a PivotTable in Excel with a row for every customer and columns representing each of the products your institution offers with a propensity score showing the likelihood that customer might opt for that product.

The preceding example is purely illustrative since every Product Propensity Report is customized to the types of products and services offered by our clients, but it shows the general structure of how such a report might look like for a client offering five different products. In this example, customers receive a decimal score (0-1) for each product, or an indication that the customer already has that product (NA). In this example, we can see that Jane Smith is predicted to be very likely to open a checking account or possibly a credit card account, whereas John Doe and Jill Ramos will likely open a credit card account, and Jack Jones will most likely be interested in a retirement account.

Aunalytics generates these Product Propensity Reports for clients based on a machine learning algorithm that learns about new accounts opened from your organization’s historical data. This algorithm digs into data about transactions and current product utilization to construct a model that can identify future customers’ propensities based on patterns in this data. The output of this model is tailored uniquely to your organization’s product offerings and trained on your organization’s data in order to provide you with reporting that gives you a deeper glimpse into what your customers are after and how best to tailor your outreach to connect those customers with the products and services they are most interested in.

Daybreak™ Insights provide best-in-industry value for analytics platforms by integrating data visualization to display results of AI and Machine Learning powered analytics assessment of your data. Daybreak exists to enable anyone to get data-driven answers to their questions. With easy-to-use tools like Daybreak Natural Language Answers, users without a background in database technology can generate result sets from their data by simply asking questions about the data. No coding, or technical knowledge of databases, datamarts, SQL queries or how to get your data prepped and ready for analysis is needed. Insights are revealed based upon your data in the form of lists of customer records that match your query and also by visualizations to display those results in various graphical forms like line, donut, or bar charts. This tool provides similar capabilities to dedicated BI tools like Tableau or PowerBI, and is available as part of Daybreak. Daybreak also allows you to export analytic results to your favorite BI visualization tool, where your team may have already built custom views and dashboards.

Insights are a valuable way to share stories about data with other members of your organization. The Daybreak Insights dashboard enables you to build a custom dashboard for saved queries, and then share that dashboard with other Daybreak users on your team. Insights can also be saved as downloadable graphics for inclusion in other documents or slideshows to accelerate and automate data-driven presentations.

Daybreak Insights are easy to create. Simply click the “Insights” tab to add an Insight. Daybreak supports different kinds of charts to display different kinds of data, like timeseries line charts, column or donut charts, or summary metrics to display simple calculations based on fields. Each type of Insight has its own settings that can be configured to control how the charts are drawn. The value of each axis or segment can be simple counts of records, or aggregations based on arithmetical or statistical operations like sums, minimums, maximums, or averages.

Insights are one of the many ways Aunalytics provides data-driven answers to your most important business and IT questions.

Our multi-indicator risk model significantly improves upon the accuracy provided by purely statistically-based risk models such as FICO scores and the actuarial tables used by underwriters to set interest rates. Although these basic statistical models are general guides to default risk, our model calibrates and quantifies how those variables and others impact loan defaults across loans of all types. For example, although low FICO scores are predictive of higher risk, how predictive they are depends on other factors such as the type of loan (mortgages, HELOCs, business loans, etc.), term, payment frequency, and so forth. For example, in one model trained using our proprietary algorithm on loan default data from one of our clients, the model discovered that for small business loans, payment frequency was actually more predictive of loan default than credit score. In other words, even borrowers with high credit scores would default on small business loans with monthly payment terms at a rate that wasn’t that different from borrowers with low scores. When payments were made semi-annually, however, credit scores became a much more predictive factor of loan default risk. 

By digging deep into the complex relationships between different loan risk factors, our algorithm can produce impressive results. Performance tests on datasets have shown this algorithm to be highly precise, with one model trained on one of our client’s data the ability to predict 30% of loan defaults in a benchmark dataset with near perfect accuracy (0.99 precision at 0.30 recall) and could return consistently reliable results at higher levels of recall. The loan default risk models trained with our proprietary algorithm provide extraordinary business value to our clients in the financial services industry by flagging risky loans and providing a deeper understanding of risk factors involved with loan applications beyond basic ratings provided by an applicant’s FICO score. 

Aunalytics is a data platform company delivering answers for your business. Aunalytics provides Insights-as-a-Service to answer enterprise and mid-sized companies’ most important IT and business questions. The Aunalytics® cloud-native data platform is built for universal data access, advanced analytics and AI while unifying disparate data silos into a single golden record of accurate, actionable business information. Its Daybreak^TM industry intelligent data mart combined with the power of the Aunalytics data platform provides industry-specific data models with built-in queries and AI to ensure access to timely, accurate data and answers to critical business and IT questions. Through its side-by-side digital transformation model, Aunalytics provides on-demand scalable access to technology, data science, and AI experts to seamlessly transform customers’ businesses.