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Anomaly Detection for 5G: Blazing Fast Speed, Minus the Glitches

The much-awaited revolution is nearly here. While the 5G PR machinery has been on a roll for a while now, there’s finally a clear picture of when exactly we can expect the technology to hit our shores. Come March 2020, and India will be witness to the latest advancements in cellular technology, entailing some very impressive features and benefits.

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The Mother of Dragons always had a dark side in Game of Thrones. But the anomaly went unnoticed.

19.3 million viewers! Yes, with that number, the final episode of Game of Thrones turned out to be the most watched episode of any HBO show ever, and the Internet cannot stop talking about it! Fans of the show have had visibly negative opinion about the last season, for the way things progressed, and close to 1.5 million people have signed a petition to remake the entire season with more able writers.

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CrunchMetrics receives business intelligence software certifications from esteemed business directory

Since its inception, CrunchMetrics has been passionate about helping companies maximize their data to get insights into their performance. This is why we are proud to receive two new certifications from FinancesOnline: the Premium Usability Award for 2019 and the Rising Star Award for 2019. To get an idea about what is CrunchMetrics, the experts at FinancesOnline used advanced customer satisfaction algorithms as well as their industry expertise.

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SoftwareSuggest recognizes CrunchMetrics as a Rising Star for summer 2019

CrunchMetrics – AI powered Anomaly Detection software has been recognized as a ‘Rising Star’, by SoftwareSuggest – the best B2B product and customer review directory. CrunchMetrics has been awarded this title amidst stiff competition from top Artificial Intelligence Software.

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Questions to ask while implementing Anomaly detection system

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on.

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How to use anomaly detection to balance your distribution budget

One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for shopping cart abandonment.

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CrunchMetrics is an advanced anomaly detection system, that leverages the combined power of statistical methods and AI-ML based techniques to sift through your data to identify incidents that are business critical in nature.
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How to stay alert on top of your anomaly data

Advancements in big data and machine learning has increased the efficiencies of analytics driven organisations. Companies that have adopted the culture of data driven decision making have clearly outperformed their competitors. The next step in this AI & ML evolution is to use automated anomaly detection to identify instances that are unusual, appreciate the true reason behind that anomaly and leverage the insights gained to grow the business.

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Manage network ops and increase revenue with Anomaly Detection - Part 1

As any operator can attest, successfully managing a business, in the telecom landscape, entails managing the inherent sub-divisions well, such as revenue generation, cost optimisation, customer experience, and operational efficiency etc. By arranging and integrating each individual piece of the puzzle perfectly, we can achieve a desired business outcome, which is all part of the big picture of the company.

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Reduce shopping cart abandonment with automated anomaly detection

A typical shopper visits the website, selects items, adds them to the shopping cart, provides a delivery address, selects payment method and confirms the purchase. Let’s consider a scenario where, after selecting the items, the customer abandons the cart and leaves the website. This occurrence is not as rare as one would think, and Dotcom stores look to optimise the checkout process and attempt to decrease this customer behaviour as much as possible.