It can help improve your situational awareness and the accuracy of your forecasts and predictive modeling by giving you previously unattainable insights into market dynamics in real time.
KPMG Signals utility applies machine learning to identify the key signals that are most strongly correlated with your variable of interest. You can find the signals that best forecast demand for your products or show support for a price increase in a particular market. By creating a "big data fabric" of exogenous and endogenous data, you can find the right data and signals to enable your AI and ML technologies to achieve new levels of accuracy in predictions and business execution outcomes.
KPMG Signals utility has data on the US (by state, county and ZIP code), OECD countries, the EU and more. Our data covers a wide variety of topics including local economic and macroeconomic indicators, demographics and population, health and education, quality of life, environment, real estate, cybersecurity, and regulatory and policy data.
KPMG Signals utility offers an archive of models, pipelines, feature engineering code and signals that capture the insights and lessons learned from previous real-world use cases. They can be reused and tailored to find the best predictors of the business outcomes you are interested in.
The majority of signals are geotagged and at granular geographic levels, enabling you to get the local pulse of an area, understand how it’s changing over time and see the direction it’s heading in the future.
Data sets in KPMG Signals utility are continuously updated and monitored. You can set custom alerts to get notified when signals diverge from their expected values or go above or below important thresholds to prepare you for changes on the ground.
Imagine you want to identify new locations for a retail bank specializing in small business loans.
First, raw data from relevant sources is collected and normalized. The raw data is then engineered into a signal that can used by an ML model. These signals are then evaluated to reveal trends and forecast areas of economic growth. Based on these forecasts, you can identify an ideal set of locations that offer the most profitable opportunities for a new business location today and in the future.
| Data & source | Bankruptcy filings (US courts) | Real estate rental pricing (Zillow) | Household incomes (American Community Survey) | Small business loan applications (US Small Business Administration) |
Advanced machine learning methods filter out the noise to distinguish the most relevant signals out of more than 100,000.
| Engineered signals | QoQ growth in personal and business bankruptcies | Month-over-month rental pricing growth | Percentile rank of local affluence vs. neighboring zips | Density of new business loans in each zip |
| Revealed trend | Communities seeing increases in overall economic vibrancy | Households burdened by high real estate prices | Neighborhoods seeing an influx of new small businesses |
KPMG Signals utility can help confirm an important business decision or reveal hidden risks that might be overlooked. Changing a location by as little as one mile can mean millions in additional revenue and make the difference between success and failure.
| Decision | Acquire a new set of locations in an up-and-coming area that will drive higher margins |
KPMG Signals utility has been used to drive optimal decision making across a diverse set of industry partners: insurance, casual dining, banking, education, online retail, auto manufacturing and more. Here are a few examples:
KPMG Signals utility developed the National COVID-19 Resiliency Network to help people understand the local risks surrounding them from the pandemic and find the health care services they need.
A retail client long recognized for its sophisticated approach to property selection was able to double its accuracy using Signals. The methodology provided a granularity of insight not previously attainable in forecasting demand for its products.
An insurance company used KPMG Signals utility to save weeks of data engineering time and gain a greater understanding of its local risks related to homeowners’ insurance, leading to better business decisions and increased profitability.
A retail client long recognized for its sophisticated approach to property selection was able to double its accuracy using Signals utility. The methodology provided a granularity of insight not previously attainable in forecasting demand for its products.
Our professionals immerse themselves in your organization, applying industry knowledge, powerful solutions and innovative technology to deliver sustainable results. Whether it’s helping you lead an ESG integration, risk mitigation or digital transformation, KPMG creates tailored data-driven solutions that help you deliver value, drive innovation and build stakeholder trust.
William Nowacki
Managing Director, Decision Science
+1 224 848 9237
Brandon Van Hecke
Director, Data and Analytics Consultant, Advisory Data Organization (ADO)
+1 312 662 0387
Shreedhar Sasikumar
Director, Data and Analytics Modeler, Advisory Data Organization (ADO)
+1 646 302 0082
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