Loyalty Lane Deploys Infobright for Faster Point of Sale Data Analysis


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SaaS Offering Helps Retailers Enhance Marketing Efforts and Increase Profits

Toronto, Ontario – July 30, 2012 – Infobright today announced that Loyalty
Lane, a customer rewards program management company, has deployed the
InfobrightR Enterprise Edition (IEE) analytic database to speed the analysis
of shopping data collected by retail point of sale (POS) systems. IEE has
reduced query times about 10x on average, allowing Loyalty Lane to deliver
near-real time analytics rather than standard reports. In addition, IEE’s
deep data compression of 35:1 enables Loyalty Lane to store all the
SKU-level data, delivering the rich insights that retailers need to optimize
their marketing efforts and make more focused decisions to increase their

Loyalty Lane’s technology captures all the transaction rich data collected
by POS systems in over 1,100 small- to mid-market grocery stores, discount
stores and dollar stores. Customers’ points and rewards are calculated in
real-time during the transaction so they can be redeemed immediately. All of
the transaction data-including each item’s SKU, size of basket, time of day,
payment method and more – is combined with user history and then analyzed to
help retailers make more focused business decisions and enhance their
marketing campaigns. By embedding IEE into their SaaS-based solution,
Loyalty Lane provides retailers faster and more comprehensive analysis of
customer shopping transaction data than was possible before.

“Today’s small and mid-size retailers need up-to-the-minute rich analytic
data so they don’t get crushed by their larger competition,” said Bill Gray,
Chairman of Loyalty Lane. “With a growing number of customers and six years
of customer data to analyze, our previous database was struggling to keep
up. Infobright’s ability to deliver rapid response to complex queries as
well as its scalability provided us with just the solution we needed without
requiring any additional IT support.”

With IEE’s innovative Knowledge Grid architecture queries that were not even
able to run before are now running in less than a minute. On average, the
company is realizing a 10-fold reduction in query time. Furthermore, with
IEE the data compression rate of 34.4:1 means that a year’s worth of data
can be loaded for analysis, broadening the scope of available historical

“In order to survive, retailers need to extract all the knowledge they can
from their customers’ shopping data and then act on it without delay,” said
Don DeLoach, CEO of Infobright. “The integration of IEE into Loyalty Lane’s
solution provides retailers with the information they need to compete
effectively, while reducing the administrative effort and cost for Loyalty

About Loyalty Lane

Loyalty Lane is an on-line transaction processing and CRM marketing services
firm for the retail industry. The company’s SaaS-based solution helps
retailers enhance customer loyalty by instantly capturing all POS data and
giving shoppers instantaneous “rewards” for points or other promotions while
they are still in the checkout lane. Loyalty Lane also provides marketing
services that analyzes retailers’ data and recommends targeted promotions to
retain and grow existing customer sales and to acquire new customers. This
combination of technology and services provides independent and regional
retailers with powerful marketing programs that enable them to compete with
their larger competition. To learn more please visit www.loyaltylane.com.

About Infobright

Infobright’s high-performance database is the preferred choice for
applications and data marts that analyze large volumes of “machine-generated
data” such as Web data, network logs, telecom records, stock tick data and
sensor data. Easy to implement and with unmatched data compression,
operational simplicity and low cost, Infobright is being used by
enterprises, SaaS and software companies in online businesses,
telecommunications, financial services and other industries to provide rapid
access to critical business data. For more information, please visit
www.infobright.com or join our open source community at www.infobright.org.


All names referred to are trademarks or registered trademarks of their
respective owners.

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