Heineken uses the cloud to reach 10.5 million consumers
in global marketing campaign

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Heineken

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Why is BitTitan still growing 50–100 percent a year after 10 years?

BitTitan

To sharpen its marketing and sales, BitTitan—which provides solutions to help IT service providers run their businesses—turned to Microsoft Azure and Microsoft Power BI. Now, it understands social media response to its product launches and other marketing fast enough to optimize its messaging and boost engagement numbers. Additionally, BitTitan used Microsoft technology to improve the quality of leads it offered as sales inducements to its partners—boosting their businesses along with its own.
Brazilian retailer stands out from the crowd with data analytics platform

Fast Shop

Fast Shop is a leading Brazilian retailer that specializes in providing customers with a unique shopping experience and personalized attention. To stay competitive in a challenging economic climate, Fast Shop has implemented a solution based on the Cortana Intelligence Suite. Now, Fast Shop has the real-time insight it needs to optimize multiple processes including pricing and customer engagement.
University empowers more decision makers with easy-to-use data analytics

Fordham University

New York City’s Fordham University is equipping administrators with the data insights they need to make strategic decisions about enrollment and understand factors boosting and hindering student success. So instead of restricting the number of users who have access to a custom BI tool and requiring other people to depend on static or manually generated reports, the university is providing hundreds of administrators with an easy-to-use data analytics solution based on Microsoft Azure that includes Power BI and Machine Learning. With it, they can quickly and easily answer questions with custom reports and dashboards using one shared informational source, a SQL Server data warehouse. In addition, the university can improve operational agility, boost data security, accelerate time-to-value, increase staff efficiency, and reduce BI costs by 200 percent.
The secret life of water

Evoqua Water Technologies

Evoqua Water Technologies is a 100-plus-year-old company that has reinvented itself for the digital age. A provider of water purification solutions to 90 percent of the Fortune 500, Evoqua is using Microsoft Azure advanced analytics to transform field-equipment data into valuable insights for customers. This is helping Evoqua evolve from a supplier of water purification gear to a premium provider of water intelligence. Evoqua utilizes this same data intelligence throughout its organization; in particular, its field service team uses data-driven insights in combination with Microsoft Dynamics 365 to recommend new services while onsite with customers. In short, these new cloud tools are helping Evoqua do a better job than ever of taking the worry out of water.
Developers use cloud power to boost quality of automotive parts manufacturing

Fagor Ederlan

Nobody wants defective steering or brakes on their car, but it’s not easy to find defects in aluminum parts the moment they’re manufactured. Developers working for automotive parts maker Fagor Ederlan were tasked with building a system that could use the available manufacturing data to predict quality issues. Their work was made more challenging by a diverse range of legacy and proprietary equipment, data access issues, sheer data volumes, and network constraints. Using a Microsoft Azure cloud solution and machine learning model, a joint developer team was able to create a prototype solution that identifies defective parts sooner while conserving network bandwidth. Most importantly, it can be applied to the different machines and factories in the organization’s global system.
Leading Middle East SaaS vendor established in the cloud transforms product with migration to Azure

Cazar

Formed in 2003, Dubai-based Cazar was born in the cloud and its award-winning Sniperhire e-recruitment technology has always been marketed as a robust online solution. Intriguingly, though, 14 years of success on, the company’s made a careful move to a new cloud platform - Microsoft Azure. The reason: access to a treasure trove of powerful platform-as-a-service features, says its CTO - and better ways to run his infrastructure.
Saving lives by alerting people about earthquakes before they strike

SkyAlert

Earthquakes strike without warning, killing hundreds and sometimes hundreds-of-thousands of people in a year. SkyAlert is one of four companies in the world that’s addressing this massive public safety threat by providing an early-warning system that alerts people in Mexico about an impending earthquake using a mobile app, standalone devices, and an Internet of Things (IoT) solution that runs in Microsoft Azure. In production just two months, three million people already use the mobile app, and more than 40 organizations, including Fortune 50 companies and schools, are using the standalone devices. The solution alerts people about an impending quake up to two minutes before it’s felt. By using Azure instead of onsite infrastructure, SkyAlert also saves money and it’s able to scale the solution to a new region in three months or less.
Creating real-time conversations with consumers, wherever they are

Targetbase

Targetbase helps consumer packaged goods and retail companies better engage with their customers. It does this by presenting relevant offers to consumers in real time, across devices and marketing channels. To create this real-time, anytime, anyplace consumer conversation, Targetbase rewrote its marketing platform using Microsoft Azure and the Cortana Intelligence Suite and Microsoft Azure analytics. By using the Cortana Intelligence Suite, Targetbase gained instant access to sophisticated machine learning, cognitive services, and data management capabilities. With Azure, Targetbase can quickly set up new customers, expand and scale anywhere in the world, and cut datacenter costs in half. Most importantly, Targetbase has transformed its offering with uniquely differentiated capabilities.
Developers use cloud power to boost the quality of automotive parts manufacturing

Fagor Ederlan

Nobody wants defective steering or brakes on their car, but it’s not easy to find defects in aluminum parts the moment they’re manufactured. Developers working for automotive parts maker Fagor Ederlan were tasked with building a system that could use the available manufacturing data to predict quality issues. Their work was made more challenging by a diverse range of legacy and proprietary equipment, data access issues, sheer data volumes, and network constraints. Using a Microsoft Azure cloud solution and machine learning model, a joint developer team was able to create a prototype solution that identifies defective parts sooner while conserving network bandwidth. Most importantly, it can be applied to the different machines and factories in the organization’s global system.
Playing follow the leader can pay big dividends

eToro Ltd.

More than 6 million registered traders in over 140 countries have taken a new approach to investing their hard-earned money. Through the eToro Social Trading Network, traders and investors can buy and sell a wide variety of financial instruments, while following and automatically copying the investment decisions of other successful traders in real time. This makes their trading experience more social, simple, enjoyable, and transparent. In early 2015, eToro moved the bulk of its platform from on-premises datacenters to Microsoft Azure. Soon after that, it added Azure analytics tools, including Microsoft R Server and Azure Machine Learning, to expand its new CopyFunds offerings. With the machine learning version of CopyFunds, investors can automatically duplicate market strategies and actual investment decisions of successful  traders in the eToro network to use in their own portfolios.

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