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With Yellowfin Signals, you know when, what and importantly, why something happened. Combined with threshold alerts, it’s your shortcut from data to insights so you can confidently jump straight to actionable conclusions. Signals is also part of the only analytics suite that combines automated data discovery, action based dashboards and data storytelling into an integrated platform enabling you to extract transformational value from your data.
Yellowfin Signals automates data discovery by trawling your business’ data for statistically significant changes and notifying you of the ones that are relevant to your role. Trend changes, period comparisons, spikes, dips and more. You’ll be automatically alerted to the most important changes as they happen so you can act immediately. Plus, a signal comes complete with natural language explanation and additional analysis on correlated data changes so you can uncover the root cause fast.
Signals help retail organizations track shopper, transactional, and category trend data for insights that improve transactional volume and customer profitability, minimize supply chain costs, and optimize the checkout process. With Signals you can track conversion rates, changes in revenue and detect fraudulent activity.
With Signals for AdTech, Yellowfin helps you to continuously monitor ad performance across every campaign and every segment informing you of anomalous spikes and drops in metrics such as traffic volume, quality and conversion rates providing the ability to optimise ad performance, identify fraudulent activity and receive instant insight into changes in revenue.
Yellowfin helps payors, providers, and suppliers analyze massive amounts of clinical, claims, EMR, incident and drug usage data to automatically detect outliers and changes as they happen. As a result, optimize decisions about how best to care for patients and reduce the overall cost of care and operational risk.
Yellowfin Signals provides fintech companies the ability to detect and diagnose issues early and resolve them quickly. Such as identifying unusual drops or increases in payment processing error rates across multiple payment entities, geographies, or devices. With Signals fintech customers have better visibility into their online customer experience.
Yellowfin enables manufacturers to improve throughput and product quality by quickly detecting and mitigating emergent process issues. Analyze variability in demand, supplier delivery times, quality issues, and product-line disruptions. Manufacturers get the actionable insights they need to improve equipment uptime, increase the efficiency of production operations, and more fully utilize the potential of the plant.
Reduce churn and increase average revenue per user (ARPU) using Yellowfin Signals by automatically identifying changes in service quality. Track the call setup success rate (CSSR) or average network quality across multiple sites, devices, operators and locations to detect a sudden drop in network performance.
Use Yellowfin Signals to optimize your players gaming experience, understand the impact of new features and how changing usage patterns are impacting revenue. By monitoring metrics such engagement, churn, retention and purchases Yellowfin helps game developers to ensure a seamless gaming experience and maximise revenue.
Reduce energy costs and improve building operations through real-time tracking, analytics, and optimization. Yellowfin Signals for Energy Management uses machine learning techniques to enable anomaly detection that helps lower costs, improve building operations, and meet utilities’ and their customers’ shared energy-efficiency goals.
An outlier is a sudden spike or drop in a metric that falls outside of its expected range. Typically the metric will revert back into its expected range after the outlier observation has occurred. For example an unusually hot day can cause a spike in electricity usage which returns to normal the following day when temperatures cool.
A trend change signal is detected when the metric trend changes direction or its gradient significantly and diverges from the expected range. For example the sales on vinyl records were on a long term downward trend until a resurgence in interest made them the fastest growing music media segment.
A step change signal is detected when the metric has a significant downward or upward step but the overall trend direction is the same. A step change in sales can occur when a new outlet is introduced into the sales channel. Assuming sales are consistent in every store, a new store simply adds to the overall sales number yet the overall trend remains the same.
A new impactful variable Signal is detected when a particular slice of data becomes relatively more important by crossing a threshold. For example umbrella sales may be a very small portion of a business, but due to above average rainfall umbrella sales now contribute significantly to revenue - umbrellas have now become an important part of the business.
A breakout Signal occurs when a metric falls outside of its expected range (above or below) and stays outside of that range for multiple observations before returning to the normal range. For example a breakout on web site page views for a news site occurs when a major news event occurs bringing lots more visitors to the site over a few days.
A change in volatility occurs when the frequency of change in a metric changes. Many metrics have natural peak and trough cycles when these cycles become faster or slower that is a change in volatility. For example the share market becomes more volatile in times of uncertainty, stocks prices rise and fall far faster than they usually do.
A sum change is detected when the total aggregate value, for instance the average or sum, of a metric changes significantly, either up or down, from one period to another. For example if due to an advertising campaign sign-ups to a web site increased by 20% week over week this would be a sum change.
Add Signals directly to your dashboard in the Dashboard builder and be notified of changes as they happen within your dashboards relevant to the information in that dashboard. For example add a Signals widget to a Marketing Dashboard that was linked to Signals generated off web-site traffic data. Users can click on any signal displayed in the dashboard widget, and open that signal for full exploration.
Yellowfin provides everything you need to deliver exceptional data experiences by simplifying the entire analytics workflow from connecting to and preparing your data, building dashboards and preparing management reports. This is because Yellowfin is only enterprise analytics suite that combines action based dashboards, automated data discovery, and data storytelling into a single, integrated platform.
No need to build a report or dashboard to track every possible combination of your data, and then hope you find that critical change. Just point Signals at your data source and let it do the work for you.
Humans simply cannot analyse all your data all the time - they simply run out of steam. Machines never get tired of repetitive work. Put Signals to work in your business.
You have more data to analyze than is humanly possible. Traditional, manual methods of data discovery are labor intensive - you take numerous steps to get to an insight. Plus, there’s human bias when choosing what data to look at. And that significantly reduces your chance of finding an insight (and it is chance). But, if you automate data discovery with Yellowfin Signals, automation does the work in two steps. Signals is the shortcut that lets you jump to actionable conclusions.
Knowing something changed is interesting, but knowing what caused it is way better. Overlay related and correlated metrics to help identified causation, allowing you to gain insights and take action faster.
Innovative product vision, top-scoring product functionality, and the best customer experience are just a few of the reasons we've made it into the Magic Quadrant 7 times in a row & have been named Visionary in 2020.
Yellowfin received top rankings in world's largest Business Intelligence Survey for Embedded BI and Operational BI, and was recommended by 100% of surveyed end users in The BI Survey 18 by BARC.
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