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.
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.
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.
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