Reifier - Better decisions through better data

© Nube Technologies

Better decisions through better data


● Business Data is spread across many systems● Discovering information is a challenge - which are the

entities whom we need to address?● Consolidating information is a challenge - not sure if the

data is tied back to a single entity● Enhancing data is a challenge - are these new records

genuine or do they already exist in the system?

Business Challenges


● Data volumes are high● Each record has multiple dimensions● Exact matches are rare● Comparing each record with every other is not possible● There are many disparate systems

Technical Challenges


● Discovering and maintaining rules for data quality is extremely tough

● Custom coding and domain specific logic makes maintenance a nightmare

● No one size fits all, big custom implementations needed every time even after using existing tools

Technical Challenges


● Discover new leads by matching against existing records

● A unified and Single Customer View (golden customer record) that can be leveraged to cross-sell products and services

● Accurate customer communication which was not possible earlier due to multiple contact details of the same customer

Enter Reifier


● Better and accurate catalog and product inventory lists● Improved data quality and data governance ● Run effective checks for screening different service

requests, loan or credit card applications etc, customers and individuals against white and black lists etc

Enter Reifier (contd)


● Learns similarity definitions from data● No hard coding of business rules● Highly scalable - runs on open source Apache Spark● Advanced Machine Learning algorithms pick most

optimal solution● Domain agnostic, can work with various kinds of data● Utilities to create labeled data available - just point it to

the data

Reifier Advantages


● Available as a library or as a private/public cloud deployment

● Professional Support and Documentation through web based support portal http://reifier.freshdesk.com

Reifier Advantages

http://reifier.freshdesk.com


● Accept training data with marked duplicates● Identify similarity and indexing rules through

Machine Learning● Group near similar records together● Match and predict similar records

Reifier Technology


● Built using open source● Apache Spark● Machine Learning● Java● Scala

Reifier Under The Hood


A telecom company offers various products and services and wants to cross sell to existing customers. Existing information is fuzzily matched for accurate customer segmentation and marketing

Case Study - Cross Selling


A banking institution uses Reifier to run loan applications against credit listing data to ensure that they are not dealing with blacklisted individuals and corporates.

Case Study - BFSI


A credit rating company utilizes Reifier to consolidate personal credit histories from different sources.

Case Study - BFSI


A services company sources organization and people data from LinkedIn and Crunchbase and uses Reifier to match existing inhouse entities to identify leads.

Case Study - Lead Generation


A local search company lists millions of regional businesses, restaurants and contacts. They periodically crawl the web to update their listing database. Information crawled from the web will have similar entries found from different websites and also with pre-existing entries in the database. Reifier helps the search company compare their existing listings with potential listings from the crawled data, and keeps their directory up to date and free from duplicate data.

Case Study - Directory Service


An advertising company maintains a listing of brands and advertising campaigns. Minor local variations in brand/company name create duplicate entries. This results in poor consolidation of size of each campaign. Reifier helps consolidate duplicate entries into a single view and thus provide a correct view of campaign size.

Case Study - Campaign Analytics


By consolidating vendor information from different geographies, source systems and channels, a retail operator gets a complete view of its supply chain and it able to garner better deals and discounts from its vendors. Reifier helps in cutting costs for the retailer.

Case Study - Retail Operations


A recommendation and scoring engine for jobs mashes data from multiple portals to provide personalized opportunities to candidates. Reifier helps them provide single unique job listings to their customers.

Case Study - Recruiting


Part of MapR App Gallery

Reifier Industry Validation


Part of Databricks Certified on Spark Apps

Reifier Industry Validation


Reifier Technology Presentation at Spark Summit Jun 30, 2014 at San Francisco, USA

Reifier - News

http://www.youtube.com/watch?v=Gq4wWa6gChU


Early adopters get to shape enterprise computing industry and define product roadmap.

Reifier Pledge


Thanks for your time, please feel free to write to [email protected] for more details.

Thank You

mailto:[email protected]

mailto:[email protected]