Capital One

Capital One

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Capital One

Most people know about Capital One’s credit card dominance and “What’s in Your Wallet?” commercials, but not many people know how the banking and financial services industry (BFSI) powerhouse managed to pull off one of the biggest enterprise-level digital transformations of the 21st century.

This customer success story shows just what’s possible in BFSI with a distributed, easily scalable cloud database built for hybrid cloud and designed for bringing powerful applications to the fore quickly and effectively.

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Macy's

Macy's

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Macy's

One the largest and oldest department store chains in the world, Macy’s embraces its storied history but like any business needs to be able to adapt to new times and new customer demands. 

Facing a heavy increase in traffic for its ecommerce site and omnichannel catalog, Macy’s needed something far more powerful and flexible than the relational database it was using.

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Bank of America

Bank of America

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Bank of America

When you really know your customer, you can create meaningful experiences that go far beyond a list of features and benefits to build true brand loyalty. To do this, you need to get more information from the data you’ve collected. 

Using powerful analytics, you can dig deep and discover who your customers really are—how they live, what they dream of and what makes them tick. By using that knowledge to customize their experience, you can create a loyalty that lasts a lifetime.

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ACI Worldwide, Inc.

ACI Worldwide, Inc.

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ACI Worldwide, Inc.

ACI Worldwide, a payment systems software leader and pioneer, needed to ramp up its database power and flexibility to be able to handle the increasing volume of transactions running across its globe-spanning payment systems. 

With the risk of payment transaction fraud increasing exponentially with the volume of transactions, ACI Worldwide knew it needed a database made to scale easily and to analyze massive volumes of data in real-time.

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Babylon Health

Babylon Health

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Babylon Health

Babylon Health handles an incredibly high volume of sensitive patient data that it needs to keep secure but also usable for invaluable patient insights. With the healthcare world rapidly shifting to one of personalization and lower costs, Babylon saw an opportunity to significantly expand and improve its service via groundbreaking cloud applications. 

Using DataStax Enterprise, Babylon has been able to build highly personalized, mobile-based, 24-7 healthcare service while securing its customers’ valuable data.

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Bouygues Telecom

Bouygues Telecom

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Bouygues Telecom

Bouygues Telecom, a French mobile phone, Internet service provider, and Internet Protocol and television (IPTV) company, was struggling with data quality and data availability for its provisioning system, which keeps its networks running.

To avoid using obsolete data and experiencing service outages, Bouygues Telecom needed to rethink the use of its relational database and find something far more powerful and flexible.

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C&S Wholesale Grocers, Inc.

C&S Wholesale Grocers, Inc.

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C&S Wholesale Grocers, Inc.

The 10th-largest privately held company in the United States, C&S provides more than 140,000 SKUs of food and nonfood items to 6,500 corporate customers. It has more than 17,000 associates in 16 states, and storage space of more than 18 million square feet. 

C&S needed to get rid of data silos and build a powerful app for real-time collaboration and warehouse activity monitoring.

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Condé Nast

Condé Nast

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Condé Nast

American publishing icon Condé Nast embarked on a mission to use deep analysis of customer behavioral data to drive user engagement and improve subscription rates. 

To achieve this, it needed a database that could process a large volume of user data quickly and in real-time and achieve high performance at scale without breaking the bank. 

Diginomica Exclusive: Condé Nast on the pursuit of customer experience at web-scale, with DataStax Enterprise.

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Constant Contact

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Constant Contact

Constant Contact needed a modern data management system that could scale beyond their legacy RDBMS, support multiple data centers, and provide a much better total cost of ownership. It found what it needed in DataStax Enterprise.

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Coursera

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Coursera

Coursera is an education platform that partners with top universities and organizations worldwide, to offer courses online for anyone to take, for free. Coursera has a mission to provide users around the globe access to a world-class education wherever they are, whenever they want it. Coursera currently offers some 700 classes on their platform to more than 9.9 million students around the world.

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Equinix

Equinix

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Equinix

The world’s leading provider of colocation data centers, Equinix handles massive volumes of data for customers ranging from the Amazons and Microsofts of the world to smaller enterprises using Equinix to connect to networks and clouds. 

Data was piling up too fast for Equinix, way too fast for its relational database, and it needed something that could scale easily to support its data expansion.

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Family Search Logo

FamilySearch

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FamilySearch

FamilySearch, the leading family history organization, selected DataStax Enterprise to accelerate user growth and provide powerful online customer experiences with faster response times, high availability and no database downtime.

Since implementing DataStax Enterprise, FamilySearch can focus on building and improving its applications to focus on its mission to connect families across generations.

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Federal Employment Agency logo

Federal Employment Agency

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Federal Employment Agency

The Federal Employment Agency is the largest service provider for the German labor market; and fulfills comprehensive labor and training market services for citizens, companies and institutions. 

They chose DataStax Enterprise for a real-time solution to monitor data of IT applications and business processes consistently, ensuring the further development and operation of highly critical systems. 

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Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE)

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Intercontinental Exchange (ICE)

Intercontinental Exchange (ICE) builds and operates global financial and commodity markets, including the New York Stock Exchange (NYSE). To be able to design powerful and innovative applications that connect investors and traders with real-time financial information, they rely on one key function: harnessing and analyzing massive volumes of real-time data with high reliability. 

This is a true example of real-time data in action and the power of an always-on cloud database.

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Locstat logo

Locstat

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Locstat

Headquartered in Cape Town, South Africa, Locstat connects and orchestrates multiple IoT sources of information to deliver graph powered next-generation advanced complex event processing and a common operating picture for any defined geographical location. The company fills a niche market in the IoT industry by providing deep analysis and predictive analytics on the sensor data IoT devices provide to companies.

Built on open source products, Locstat needed a solution that could push analysis time from two to three weeks down to minutes to generate the graphs used in their analytics. They also needed a cloud database solution that could support big data, scale, and handle analyzing millions of data points per day. 

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Macquarie Group

Macquarie Group

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Macquarie Group

Australia’s largest investment bank, Macquarie was seeking to provide a more human and intuitive experience than traditional brick and mortar banks by building fast, intimate, and personalized banking applications for its customers. 

To create these online and mobile applications that give customers the power to take control of their finances, Macquarie needed a scalable, flexible, always-on database with real-time capabilities.

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Metro

Metro

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Metro

To improve internal operations and better serve its customers, METRO, an international wholesale and retail food specialist company that operates in 35 countries, needed to migrate parts of its legacy systems to a microservices-based architecture and scale up to 165 clusters at data centers around the globe. 

To achieve this transformation and also better manage its growing hybrid cloud database, METRO needed to successfully start using Google Cloud native services in conjunction with Apache Cassandra™.

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Microsoft Office 365

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Microsoft Office 365

Millions of businesses worldwide use open source technology, and Microsoft is no exception. In fact, one in three Azure Virtual Machines runs Linux, and Microsoft is taking advantage of open source technologies to enhance its own cloud services. For example, the Customer Fabrics Platform Team at Microsoft recently chose DataStax Enterprise—the always-on data platform for cloud applications powered by the best distribution of Apache Cassandra™ — to improve service across multiple areas.

Now, administrators work with DataStax Enterprise to gain insight into user behavior. Results include better support for Microsoft’s fastest-selling product, and more satisfied, productive customers.

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Mint Bills

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Mint Bills

Mint Bills selected Apache Cassandra to store user account data.  Later, it migrated to DataStax Enterprise for enterprise production support and professional services.

Currently, Mint Bills has 21 nodes in one cluster and stores 15 TB of transactional data in DataStax Enterprise. Even with a fast-growing number of user and accounts across various types of data models, it continues to perform and scale with ease to support this massive growth.

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Mobile Pay

Mobile Pay

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Mobile Pay

MobilePay has quickly become Denmark’s go-to payments application. While the success has been welcomed and expected, it’s also come with major challenges on the data management side. 

To be able to handle the spike in application users and transactional volume, MobilePay’s IT team needed to completely rethink its data management strategy and switch to a cloud-based infrastructure that uses a microservices-based approach to building modern applications.

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Penn Mutual

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Penn Mutual

In 2010, Penn Mutual’s Information Management and Technology Division, the IT arm of the business, started a project called “Core Services” aiming to merge all data domains spread throughout the company into a single source by marrying their service oriented architecture and master data management capabilities into a comprehensive system.

Penn Mutual started out with a traditional RDBMS approach for the persistence layer of their Core Service, but soon realized that it could not meet their requirements for application performance or scalability with the existing RDBMS footprint without a large cost commitment.

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ProtectWise

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ProtectWise

ProtectWise shifts network security to the cloud to provide complete visibility and detection of enterprise threats and accelerated incident response. The company is disrupting network security with its Cloud Network DVR, a virtual camera in the cloud that records everything on the network. It allows security professionals to see threats in real time and continuously goes back in time to discover previously unknown threats automatically. 

ProtectWise relies on DataStax Enterprise to provide an always-on, highly scalable, and secure platform to build their network security technology delivered 100% from the cloud.

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RevTrax

RevTrax

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RevTrax

RevTrax provides an AI-based promotional and advertising offer management platform that enables businesses to run smarter offers, track attribution from ad to purchase, and drive higher return on investment (ROI) for their digital marketing campaigns. 

They selected DataStax Enterprise (DSE) to scale to meet growing business needs and realized a 10 times increase in performance with zero downtime.

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Saab Medav Technologies logo

Saab Medav Technologies

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Saab Medav Technologies

Saab Medav Technologies is a leading global provider of military defense and civil security products, services, and solutions, including signal processing and analysis. They needed a highly scalable, high-performance database to implement a new product line. They chose DataStax Enterprise for its ability to meet their needs.

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Sling TV

Sling TV

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Sling TV

The #1 live TV streaming service with approximately 2.3 million customers, Sling TV was looking to provide a more personalized service for its users. 

They recognized the need for a highly available, scalable, and centralized data solution for their 16 platforms to deliver a great customer experience. They also wanted to build the Sling TV backend on-demand in a hybrid cloud environment. 

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Spring CM logo

SpringCM

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SpringCM

SpringCM is a cloud-based enterprise document-centric workflow platform that allows customers to manage contracts, documents, and all types of content across devices and locations. Allowing Salesforce.com users to streamline tasks, automate processes around documents, and work collaboratively, SpringCM is a solution that helps speed the sales cycle while keeping sensitive content secure.

SpringCM recently deployed HP Moonshot technology to speed innovation and simplify scaling in its DataStax Enterprise distributed database platform, built on Apache Cassandra.

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Surescripts

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Surescripts

Surescripts serves the nation with the single most trusted and capable health information network, built to increase patient safety, lower costs, and ensure quality care.

Surescripts connects more than 1 million healthcare professionals and delivers comprehensive patient information to the point of care, including nearly 11 billion transactions annually. With a stringent requirement to allow no more than 1.5 hours of downtime per year, Surescripts switched to DataStax Enterprise and experienced greater linear scalability, advanced security, increased operational efficiency, and more.

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YAMGU

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YAMGU

Considered the “Google Now” for travel, Your Are My Guide (YAMGU) is an innovative web and mobile app that leverages big data and machine learning to help users plan, personalize, and optimize trips of all types and sizes.

Just enter where you’re going, when, and for how long, and YAMGU provides an optimized daily itinerary. It also allows you discover trendy, must-see spots and events in real time by looking through photos and comments from locals.

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