A real-time application or service must predictively and actively engage customers with personalized experiences. Achieving this with fast data requires tools that can collect, explore, analyze and act on streams of data – instantly. This lets companies make data-driven decisions using insights from real-time analytics against fast moving data. This solutions brief explores the increasing need to deliver relevant, personalized customer experiences, and how organization address the unique needs of each customer or prospect and deliver responses in real-time.
Personalization Solutions Brief
Retail Single-Item RFID Fast Data Use Cases
Retailers use radio frequency identification (RFID) to track and manage inventory, and frequently rely on big data analytics to determine product placements on retail shelves, optimize inventories, and forecast demand. Item-level tagging not only allows retailers to monitor and track individual products throughout the supply chain, it also enables more efficient inventory management within each store to reduce shrinkage, drive revenues, and allocate shelf space based on product popularity. But in addition to big data analysis, retailers need the ability to leverage fast data - data in motion - to enable in-the-moment decisions.
Industrial IoT Fast Data Use Case
The industrial Internet of Things (IoT) field has been slowly maturing in its utilization of big data and edge computing. Technologies like machine learning and predictive modeling have helped industrial organizations leverage sensor data and automation technologies that have existed for years in industrial settings. But it has revealed a gap in meaningful utilization of data in making factory-level decisions. This use case describes this solution pattern, broadly known as fog computing, which points to great potential for increasing quality control and production efficiency at the factory level.
Bank Deploys Real-time Analytics to Improve Trade Recommendations
Trading equities for private wealth clients requires the ability to quickly provide informed and relevant information to valued clients. This case study examines a major global investment bank objective to minimize the subjectivity by providing automated, personalized recommendations based on each profile as well as current market opportunities. By combining historical big data analysis with real-time streaming analytics and transactions from VoltDB, the bank provides traders with instant access to trading recommendations personalized to a client’s preferences, goals and portfolio composition to improve customer satisfaction, increase retention, reduce risk and maximize results for high-value customers.
Industry Brief: Fast Data Customer Value Management Solutions for Utilities
Industry Brief: Fast Data Customer Value Management Solutions for Energy Providers
Emagine International is focused on Customer Value Management (CVM)—the practice of understanding and maximizing the value of each customer through ongoing, tailored interactions. Based in Sydney, Emagine works with energy providers to help them leverage fast data to significantly increase revenue opportunities by presenting tailored, relevant and timely offers that drive revenues and foster customer retention. This innovative company provides a real-time, Adaptive Contextual Marketing platform and managed marketing services. Emagine works with energy companies to significantly increase revenue opportunities by helping them present tailored, relevant and timely offers to customers.
DeltaDNA Selects VoltDB to Enable State-of-the-art, Real-time Personalization
deltaDNA is utilizing the VoltDB high-performance in-memory NewSQL database to power its real-time game analytics and marketing platform. In-memory analytics on highvelocity data enable deltaDNA customers to instantly track, anticipate and respond to individual player behavior. Read this case study to learn how leveraging VoltDB, the deltaDNA platform empowers game developers and publishers to perform in-depth player analysis on colossal amounts of data streaming in from each game and take action within a quarter of a millisecond.
MaxCDN Deploys VoltDB to Provide its Customers with Real-Time Analytics
Facing the business challenge of providing customers with real-time analytics of their content delivery as well as having a reliable and accurate billing engine, MaxCDN had to deploy a solution that could process the CDN logs in real-time so data would be visible to the user in less than 15 seconds from the time the log was generated by the web server when serving the content. MaxCDN also needed a solution that would guarantee no data loss for billing purposes and that could scale horizontally to support ever-increasing content loads.
Openet Case Study
Openet technology manages the decision making and interactions that translate network activity into revenue. Openet’s real-time BSS systems process the massive volumes of data streaming through a network, use that data to track activity such as network usage for many millions of users simultaneously, and perform real time actions such as billing and managing connection quality.
Enabling Microservices in the Cloud with VoltDB, AWS and Docker
Full 360 is a New York-based consulting and systems integration firm with deep experience in analytics, performance management, and business intelligence as well as data warehousing systems architecture, design, and implementation. A major airline operator engaged Full 360 to develop a managed service to support a more agile customer loyalty program that would allow the airline to launch campaigns in days rather than months. Full 360 developed an innovative fast data solution that leverages cloud-based microservices to build smarter, more flexible infrastructure to support customer engagement and loyalty campaigns.
Emagine Implements Real-time Telecommunications Personalization with Fast Data
Emagine International transforms big data into useful insights to align the right message with the right people at the right time, on the right channel and in the right way. This innovative company provides a real-time, adaptive contextual marketing platform and managed marketing services for mobile service providers. Read this case study to learn how Emagine differentiates their offering and helps operators take advantage of real-time analytics and decisioning with VoltDB’s in-memory scale-out SQL database as the core of its Emagine Real-time Event Decisioning (ERED) platform. Check out this short video to learn more about how their platform enables CSPs to capitalize on massive amounts of data in real time with VoltDB.
Airpush - On a mission to redefine mobile advertising
Airpush, Ranked #2 in the 2014 Forbes list of “Most Promising Companies” and winner of the “Top Innovator in Advertising Data” award at the 2014 DataWeek Conference, is on a mission to redefine mobile advertising. More than 150,000 apps and the world’s leading advertisers rely on Airpush to deliver the industry’s highest performance, driven by exceptional ad formats and targeting technology. Read the case study to learn how Airpush replaced its MySQL infrastructure with VotlDB to support hundreds of thousands of concurrent connections with round-trip latencies in milliseconds, eliminate over-delivery of mobile ads, and manage ad budgets in real-time to maximize the deliverability of each ad by platform, ensuring the greatest exposure for its advertisers.
VoltDB Enables Flytxt to Improve Agility, Generate Revenue, Increase Conversions, Grow Customer Base
Today's telecommunications data center environments must cater to billions of high frequency events daily. Technology and Business teams are faced with a challenge to architect and manage analytics platforms that extract optimum value from these event streams. This case study describes how Flytxt, a Netherlands-based Big Data Analytics solution provider for Communication Service Providers (CSPs), uses VoltDB to combine fast data with big data to create competitive differentiation and sustained economic value generation. Tapping into the value of data in real-time – the moment it arrives – is a significant opportunity for Flytxt, which serves more than 60 customers and over half a billion subscribers in 32 countries. With VoltDB, Flytxt has the ability to track billions of events to generate real-time triggers reflecting contextual usage and changes in defined behavior to help CSPs increase revenues and ARPU.
Fast Data Goes Mobile with AsiaInfo
Fast data applications use streaming data with real-time analysis and decision-making to make applications more personal, interactive and engaging. This is especially important for the fast-paced, extremely competitive mobile sector, where consumers and customers expect rapid results. Read this case study with Asiainfo to learn more.
Shopzilla Case Study
Dive deep into Shopzilla’s VoltDB deployment – and how the e-commerce leader is maximizing velocity to unlock the potential of big data’s other two “big Vs,” volume and variety.
Sakura Case Study
The VoltDB Vanguards at Sakura Internet — one of Japan’s largest enterprise-class ISPs — are using VoltDB as part of their strategy for keeping their enterprise customers online in the face of distributed denial of service (DDoS) attacks. Learn more in this case study.