KPMG Signals

Accelerate to AI-powered big data insights

KPMG Signals utility is an active listening platform that continuously harvests both structured and unstructured data from more than 250 public and private sources, and transforms that data into over 100,000 signals — everything from unemployment data and crime statistics to school schedules and real estate prices.

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.

How can KPMG Signals help you?

KPMG Signals utility gives you access to high-quality, detailed data and helps you capitalize on insights from modern artificial intelligence (AI) and machine learning (ML) techniques.

Solution bundles

Which markets are the most attractive for new growth? Where can I find more qualified applicants for open positions? Our industry-specific solution bundles are prepackaged accelerators designed to help you answer questions like these. They enable rapid investigation, analysis, customization and deployment of ML solutions using signals from open-source and paid sources.

Signals alerting and forecasting

How do you effectively monitor changing market conditions around the country or around the world? Using ML and thousands of signals, KPMG Signals utility can help you keep up with regional and local economic conditions and alert you when potential risks or opportunities for growth appear.

Custom-fit solutions

Combine your internal data with external data from Signals to get exclusive tailored insights — and a competitive edge. Powerful ML methods can help you identify customer segments, increase the accuracy of revenue forecasts, improve employee retention and much more.

Data curations

Curations are specialized data sets that transform and merge data from a variety of sources, optimized for your needs, into a single, centralized database. They can accelerate the time to insights for data scientists and engineers who can now spend less time data wrangling and more time perfecting models.

A powerful data science accelerator

KPMG Signals utility enables data scientists to quickly and easily build predictive models based on a combination of external signals and your own proprietary internal data.

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.

A wide range of sources

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.

A library of resources

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.

High-quality, detailed data

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.

Real-time notifications

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.

Finding the right signals

How does it work?

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

Proof. Positive.

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:

Protecting communities

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.

Smart site selection

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.

Efficiency, accuracy and profitability

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.

Smart site selection

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.

Contact us

Accelerating business transformation requires speed of insights and deep expertise.

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

Some or all of the services described herein may not be permissible for KPMG audit clients and their affiliates or related entities.