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SOLUTIONS BRIEF Personalizaon A real-me applicaon or service must predicvely and acvely 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-me analycs against fast moving data. Companies increasingly need to deliver relevant, personalized customer experiences, and this personalizaon must: Address the unique needs of each customer or prospect Feel responsive Be delivered in real-me This requires the ability to implement a scalable soluon that can handle streaming data while simultaneously providing real-me context, analycs and decision making. According to Gartner, real-me recommendaons based on consumer behavior deliver 10–15 mes the response rates of other approaches. Creang meaningful context for your customers via fast interacon can maximize their experience and drive your revenue growth. But how do you increase personalizaon in a data-driven world where you’re compeng for the user’s aenon? The answer lies in addressing where and how quickly you can: 1. Analyze incoming streams of customer interacon data 2. Gain insight by blending real-me analycs on live data feeds with context from historical analycs 3. Take acon to deliver personalized experiences.

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Page 1: Personalization - VoltDB · Personalization A real-time application or service must predictively and actively engage customers ... Telcos, Financial services, Ad Tech, Gaming, and

SOLUTIONS BRIEF

Personalization

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.

Companies increasingly need to deliver relevant, personalized customer experiences, and this personalization must:

• Address the unique needs of each customer or prospect

• Feel responsive

• Be delivered in real-time

This requires the ability to implement a scalable solution that can handle streaming data while simultaneously providing real-time context, analytics and decision making. According to Gartner, real-time recommendations based on consumer behavior deliver 10–15 times the response rates of other approaches. Creating meaningful context for your customers via fast interaction can maximize their experience and drive your revenue growth.

But how do you increase personalization in a data-driven world where you’re competing for the user’s attention? The answer lies in addressing where and how quickly you can:

1. Analyze incoming streams of customer interaction data

2. Gain insight by blending real-time analytics on live data feeds with context from historical analytics

3. Take action to deliver personalized experiences.

Page 2: Personalization - VoltDB · Personalization A real-time application or service must predictively and actively engage customers ... Telcos, Financial services, Ad Tech, Gaming, and

STRATEGY GUIDE

2 PERSONALIZATION SOLUTIONS BRIEF

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. Emagine works closely with mobile operators to significantly increase revenue opportunities by presenting tailored, relevant and timely offers to customers.

To differentiate its offering and help operators take advantage of real-time analytics and decisioning, Emagine selected VoltDB’s in-memory scale-out SQL database as the core of its Emagine Real-time Event Decisioning (ERED) platform. This has allowed Emagine to:

• Architect a fast data solution that requires 3 milliseconds for the ingest-analyze-decide journey

• Deliver customized offers to subscribers in fewer than 250 milliseconds

Mobile operators can now achieve a measurable ROI in real-time personalization. Real-time offers were proven to be 1.5 to 2.5 times more successful than near real-time offers. In one use case, personalized real-time offers delivered a 253% increase in acceptance. Read the case study and watch the video.

“We conducted a global search and selected VoltDB because we believe it’s the world’s fastest and smartest in-memory database. It met our core requirement for sub-250 millisecond response time. In terms of transactions per second, it’s highly scalable and delivers the performance we need. We’re happy we selected VoltDB as the underlying architecture for our real-time layer.”

— Emagine CEO David Peters

Personalization Across Multiple Industries

Openet enables the world’s largest network operators to deliver personalized service offerings in an increasingly mobile, data-driven society. This supplier of real-time business support systems (BSS) selected VoltDB as the logical choice for a cloud-deployable, transactional database that can flexibly handle high-volume data streams for service providers to monitor and leverage in real time. Read the case study.

“At Openet, we have high expectations, and we’ve driven VoltDB into domains that are new to them and the VoltDB development team has responded well. The product is very good and continues to evolve, and the VoltDB team continues to work closely with us to address the real-time database demands of major service providers.”

— Oisin Loftus, Executive Director of Product Development for Openet

Telecom is just one of the many industries that benefit from real-time personalization using fast data. For example, a major airline operator engaged Full 360 to develop a managed service to create 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 personalized customer engagement and loyalty campaigns. Read the case study.

“VoltDB is performing like a charm, and we’re seeing hundreds of thousands of successful transactions per second.”

— Rusty Ross, Solutions Architect for Full 360

Bayer is leveraging VoltDB for pharmaceutical and medical research, and deltaDNA is using VoltDB to enable state-of-the-art, real-time personalization to allow its gaming customers to instantly track, anticipate and respond to individual player behavior to drive retention and in-crease revenues. This innovative solution can help gaming customers increase player retention by as much as 200% and revenues by as much as 40% by enabling micro-personalization of each player’s experience. Read the case study.

Page 3: Personalization - VoltDB · Personalization A real-time application or service must predictively and actively engage customers ... Telcos, Financial services, Ad Tech, Gaming, and

© VoltDB, Inc. 209 Burlington Road, Suite 203, Bedford, MA 01730 voltdb.com

About VoltDB

VoltDB is the only in-memory transactional database for modern applications that require an unprecedented combination of data scale, volume, and accuracy. Unlike other databases, including OLTP, Big Data, and NoSQL, that force users to compromise, only VoltDB supports all three modern application data requirements: 1. Millions — VoltDB processes a relentless volume of data points from users and data sources. 2. Milliseconds — VoltDB ingests, analyzes, and acts on data in less than the blink of an eye. 3. 100% — Data managed by VoltDB is always accurate, all the time, for all decisions. Telcos, Financial services, Ad Tech, Gaming, and other companies use VoltDB to modernize their applications. VoltDB is preparing energy, industrial, telco and other companies to meet the challenges of the IoT. VoltDB was founded by a team of world-class database experts, including Dr. Michael Stonebraker, winner of the coveted ACM Turing award.

Deliver Personalized Experiences with VoltDB

VoltDB is an in-memory SQL database that combines analytics on live data feeds with transaction processing in a single, horizontal scale-out platform. It runs on commodity hardware in a massively parallel shared-nothing architecture, and is built to tap the value of fast data in real time to enable personalized real-time services and applications.

VoltDB’s fast data platform provides rapid data ingestion, real-time analytics and automated decision- making on a per-user, per-event basis, with data enrichment and rapid export to data warehouses.

This enables companies in many sectors to deliver unprecedented levels of personalization and customer engagement that produce superior returns and competitive advantage. VoltDB’s fast operational database with real-time analytics and decision-making is powering the next generation of personalized applications that rely on fast, smart data. For more information, visit www.voltdb.com or contact us.