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Analytics Network has been recognized by CIO Applications Europe Magazine as the exclusive recipient of “Top 10 Cognitive Solution Companies - 2019,” based on our proprietary methodology, reflecting its position in the industry, and is also named among “,” reflecting its broader leadership. This profile has been developed by the CIO Applications Europe research and editorial team based on insights from an interview with Luca Camporese, Founder & Managing Partner.

Analytics Network

Analytics Network
Driving Business Decision with Data

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Luca Camporese, Founder & Managing Partner, Analytics NetworkLuca Camporese, Founder & Managing Partner
How much money can a bank save by sending its armored truck only when the ATM needs to be refilled? More than one could possibly imagine. One of the top banks in Italy saved roughly a million dollars in two years by optimizing ATMs’ cash management. This profit is one of the several proven results of using Analytics Network’s cognitive solutions in a world that is filling to the brim with an ever-flowing fountain of data. Analytics Network, a cognitive solution provider, has taken upon itself the mission to promote machine-driven decision-making. The organization has made this possible by blending unique machine learning algorithms into business processes that allow companies to achieve better business outcomes. “Built with a collective experience of over 20 years in the cognitive sector, Analytics Network benefits companies from across industries with cutting-edge analytics applications. These applications help companies reduce operational costs, drive customer retention, and optimize production environments while increasing revenue,” says Luca Camporese, Managing Partner and Founder at Analytics Network.

With Analytics Network companies can build machine learning-based apps that can be easily embedded into their business processes. These apps are built on a well-defined scientific methodology and a thorough understanding of the client’s business processes and functioning. The company employs Analytics Network Deployment framework (AN:DY) to embed connected apps into the processes.

Built with a collective experience of over 20 years in the cognitive sector, Analytics Network benefits companies from across industries with cutting-edge analytics applications


The app development process begins with collecting the client data and standardizing the same. Subsequently, Analytics Network brings to bear its data science and artificial intelligence expertise to develop and implement data analytics algorithms. Finally, the apps are customized to the client’s industry and specific use case. These apps suggest clients the right decisions that allow them to achieve smart processes where they can take preemptive actions. They also help in improving the adoption of connected solutions for further growth and success.

Camporese highlights that every algorithm they create is trained on specific client’s unique challenges. With a deep understanding of different business processes and the functional areas of different industry verticals, Analytics Network takes an informed approach to configure smart apps for its clients. The applications offered by the company help clients with insights into customer requirements, allowing them to deliver personalized services. Using cognitive analytics, “We make it possible for organizations to streamline their business processes and improve customer satisfaction, manage risks better, and enhance production optimization,” says Camporese.

Analytics Network supports several industries such as manufacturing, retail, and financial services. Amongst several applications, Propensity is an application that deciphers the likelihood of a customer to buy a product and provides recommendations based on searches and previous purchases. Appending to the abilities of Propensity, the Attrition solution helps to create alerts for high customer churn rates—the possibility of a customer to discontinue a subscription. On the risk management front, the company offers Fraudwall and Creditscore. Fraudwall predominantly focuses on preventing internal fraud where the risk of cashier fraud is prevalent (retail industry, for example). The solutions help to understand internal risk and implement a preventative measure. Creditscore, on the other hand, creates a high-quality predictive model to maximize business opportunities while limiting the burden of unpaid bills, providing early warnings when a potential threat is imminent.

As 2019 sets in, Camporese has strategized the road ahead. With a strong clientele in Italy comprising several giants from different industries, Camporese hints on spreading footprints to London, catering to bigger and more diversified markets.

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Top 10 Cognitive Solution Companies - 2019
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