NGDATA Launches Lily 2.0: Helps Enterprises Gain Real Time Customer Intelligence
NGDATA, the consumer intelligence and interactive Big Data management solutions company, today announced the availability of Lily 2.0, the industry's only solution that enables enterprises to gain a 360 degree view of their customers by combining and analyzing structured, unstructured and semi-structured data from multiple sources. Currently deployed at several enterprise organizations, Lily helps customers gain deep insights into their customers, products, markets and operations to optimize business processes and create highly personalized offers that drive sales and increase customer intimacy. Without Lily, organizations only get a partial view of customers, preferences and behaviors - resulting in disjointed and ineffective sales and marketing processes. Lily 2.0 includes a new set of innovative modules including: the Lily Customer Database, Lily Customer Applications, NGDATA Data Services as well as enhancements to the Lily Data Repository.
While there are a wide variety of business intelligence, Big Data, analytics, and real-time marketing solutions entering the market, Lily 2.0 supersedes the limitations of these solutions. Using Lily, customers are able to tap a wide variety of Big Data sources, access complete customer profiles in real-time and take into account a customer's latest interactions across multiple channels (CRM, social media, mobile) instead of relying on outdated batch data to make marketing and sales decisions. By better understanding a consumer's propensity towards specific offers and brands, Lily helps enterprise organizations to more effectively provide recommendations on products and advertisements - resulting in greater customer loyalty and increased sales.
"The ability to provide a comprehensive view of the customer and predict their propensity towards purchasing products will provide companies with a distinct competitive advantage. Today's consumers often make purchase decisions based on their most recent actions, interactions and social engagements, in addition to their historic behavior," said Benjamin Woo, managing director of industry research firm Neuralytix, Inc. and analyst at GigaOM Pro. "Lily offers enterprises the unique advantage of being able to collectively amass and act on this data - creating smarter and more effective sales and marketing campaigns."
New modules include:
- The Lily Customer Database: uses matching and machine learning capabilities to correlate all data from hundreds of internal and external sources to a unique customer. By aggregating data based on behavioral data, Lily can build and maintain customer records that contain all data related to each individual customer including purchase history, web clickstreams, geolocational information and social interactions. The Lily Customer Database easily integrates with applications such as SAP Business Objects, Tableau, SAS/ACCESS, Microstrategy, QuickView and Hive for exploratory analytics and business intelligence applications, providing real-time insights based on more complete data.
- Lily Customer Applications: The Lily Recommendation Engine leverages sophisticated machine-learning algorithms such as collaborative filtering to deliver highly targeted, contextual and personalized product recommendations. Now, enterprises can predict an individual's preferences toward a product or service by observing group behavior such as purchase history, brand affinity, social interaction, POS transactions, web clickstreams and geo-location information to deliver highly accurate recommendations. The Recommendation Engine can be integrated into any existing application such as mobile wallet or a fraud detection application.
- The Lily Data Repository: delivers new connectivity, indexing, scalibility, support capabilities for SolrCloud as well as certification on the latest Hadoop and HBase versions. As a result, enterprises can aggregate, store, index and retrieve a wide variety of internal and data into a native Big Data platform.
- NGDATA Data Services: augments existing customer data in Lily with other data sources such as social network data or reference databases, such as Lexis-Nexis and market and consumer data. Pre-integrated into the Lily Customer Database, NGDATA Data Services speeds up implementation and time to value by rapidly making external data available.
"Simply put, we empower enterprise organizations to gain competitive agility by making it easier to precisely pinpoint customer preferences," said Luc Burgelman, CEO and founder of NGDATA. "We help these companies improve marketing effectiveness, fraud prevention and one to one customer engagement by removing what used to be time consuming and disjointed processes of business intelligence, marketing and analytics. Lily serves as a company's consumer intelligence engine and steps in where traditional CRM and data warehousing systems have fallen short."
SOURCE: BUSINESS WIRE ©2014 Business Wire