Customer Data Management Platform Solution Overview
Data is being generated today in unprecedented volumes, velocity and variety. Customer technologies such as mobile apps, Internet of Things, and other digital touchpoints and devices are outpacing organizations ability to ingest, collect and access data to drive meaningful outcomes for both the customer and the brand
VeraCentra’s Customer Data Management Platform Solution, powered by RedPoint Customer Data Platform ™ empowers organizations to collect data from any source, cleanse and transform it for immediate insights and for use in creating real time personalized customer interactions.
Key Capabilities
AGILITY
Architected to work with all sizes and types of data and incorporates first, second and third party data. Out of the box connectors to any environment includes traditional databases, applications and advanced Hadoop/data lake and other no-SQL environments.
PRECISION
RedPoint provides advanced data processing and matching algorithms and incorporates sophisticated data transformation features such as advanced parsing, complex rules and computations, standardizations, geocoding and spatial analysis.
SCALE
Production scale with drag and drop ease of use. Set up automated workflows with error alerts, version control and job monitoring. Graphical representations make it easy to create, review and modify workflows without writing code.
SPEED
Real time data ingestion and integration. Data loaded in the Customer Data Management Platform is immediately available for consumption- perform immediate analysis, decisioning or drive to operational systems.
RedPoint Customer Data Platform™ Key Features
BROAD FUNCTION ETL
- Read from and write to relational databases (SQL Server, Oracle, Netezza, DB2, Greenplum, etc.), fixed or delimited text files, XML, JSON, COBOL, and other file formats commonly used in Hadoop such as Avro and Parquet or Hadoop-based NoSQL stores such as HBase and Hive.
- Extensive data transformation capabilities; high performance sorting and filtering.
- Remove fields; split and merge records; create and manipulate data fields.
- Predictive modelling based on machine learning.
DATA QUALITY AND HYGIENE
- Address standardization and correction for US, Canada, and over 200 other countries.
- Use name parsing to separate dual names, match on nicknames,
and perform gender coding. - Probabilistic and heuristic “fuzzy-matching” techniques easily identify, match, link and de-duplicate files.
- Geocoding, spatial analysis and transformations.
- Parsing using regular expressions, and employing Excel-like functions with an expression library of over 350 built-in functions.
MASTER DATA MANAGEMENT
- RedPoint MDM works in conjunction with RedPoint Data Management to create master records for customers, products, devices, and other business entities.
- Easy operation with RedPoint Data Management via DM tools to feed master records into MDM, update MDM records, and extract MDM for processing and export.
- Pre-built APIs, RESTful web services for viewing and controlling master data directly in other applications.
- MongoDB Master Store provides performance and flexible data models for master data, and includes versioned storage of master records in a comprehensive data store.
- Complete view of changes to data lineage provides versioned, dated, and user-tagged view of changes to the customer master data, supporting auditability, accountability, and improved metrics.
- Change and approval workflows using a browser-based UI and business processes let data stewards and business users oversee changes to master data, allowing control of changes and resulting profiles.
PROCESS AUTOMATION
- Build complex workflows (automations) that combine various data-flow projects.
- Use success/failure logic for error handling and send notifications to operators via email.
- Automatically support checkpoint and restart; only failed steps are restarted.
MASTER KEY MANAGEMENT
- Easily manage persistent keys that are consistent over time.
- Handle the complexities of constant key persistence, relationships and householding.
- Assign persistent keys at the group and source level, allowing users to track performance at these levels.
CUSTOMER DATA INTEGRATION
- Full suite of tools to manage customer data and provide an integrated 360 degree view.
- Cross-match data from multiple sources that share common entities but that do not have shared keys.
- Group account-level data at the person/household/group or business level to create “rollups” or common keys.
OPERATIONAL CONTROLS
- Version control for data projects that includes tracking users, project last modification date and time, comments, and notes.
- Multi-server job distribution runs in a centrally controlled environment with numerous processing nodes executing jobs.
- Takes advantage of YARN load balancing as a native YARN application.
- All jobs can be monitored by administrators and operators to determine both overall progress and the actions of specific job steps.
- Command-line execution and web-service interfaces integrate into other operational control systems.
JAVA SOFTWARE DEVELOPMENT KIT
- A Java SDK is available to extend the platform and create connectors to other business applications or data environments
The VeraCentra Difference
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