Overview
RedPoint Data Management (RPDM), offered by RedPoint Global, is a comprehensive data management platform designed to empower organizations to collect, cleanse, transform, and enrich data from a wide array of sources. This platform is part of the RedPoint Customer Data Platform, which aims to create a unified, accurate, and up-to-date view of customer data. RPDM is designed to handle vast quantities of structured and unstructured data from various sources, including social media, mobile devices, websites, operational systems, call centers, and points of sale. The primary goal is to provide a single, golden record of customer data that can be used to improve business processes and customer engagement.
Key Features
Data Ingestion and Integration
RPDM allows organizations to ingest data from any source, whether it is batch or streaming, structured or unstructured, and from first-, second-, or third-party sources. It supports reading from and writing to relational databases (such as SQL Server, Oracle, and DB2), fixed or delimited text files, XML, JSON, and other file formats commonly used in Hadoop.
Data Quality and Hygiene
The platform includes extensive data quality and hygiene capabilities, such as address standardization and correction, name parsing, probabilistic and heuristic fuzzy-matching techniques for identifying, matching, and de-duplicating files, and geocoding. It also employs Excel-like functions with an expression library of over 350 built-in functions.
Data Transformation and Automation
RPDM offers robust data transformation capabilities, including high-performance sorting and filtering, removing fields, splitting and merging records, and creating and manipulating data fields. It also supports predictive modeling based on machine learning. The platform automates data management processes, allowing for real-time and incremental changes, and notifies users about progress and issues.
Master Data Management (MDM)
RedPoint MDM works in conjunction with RPDM to create master records for customers, products, devices, and other business entities. It uses MongoDB for the Master Store, providing performance and flexible data models for master data, along with versioned storage of master records. The MDM system includes change and approval workflows, allowing data stewards and business users to oversee changes to master data.
RESTful Web Services and Connectivity
RPDM features RESTful Web Services capabilities, which simplify customer data and data quality projects through automation. It supports universal cloud support, including Amazon AWS, Microsoft Azure, Google Cloud, and private cloud environments. The platform also provides native connections to CRM and back-office systems, as well as improved data warehouse performance.
Workflow and Process Automation
The platform allows users to build complex workflows that combine various data-flow projects. It includes success/failure logic for error handling and sends notifications to operators via email. RPDM also supports checkpoint and restart capabilities, ensuring that only failed steps are restarted.
User Interface and Operational Controls
RPDM offers a graphical user interface that makes designing and executing data management processes easy and fast. It includes version control for data projects, tracking users, project last modification date and time, and detailed functionality for ingesting, validating, cleansing, identifying, and resolving customer records.
Compliance, Security, and Privacy
The platform provides enterprise-level operational capabilities for handling sensitive customer information with appropriate compliance, security, and privacy measures. This ensures that customer data is managed in a way that meets regulatory requirements and maintains customer trust.
In summary, RedPoint Data Management is a powerful tool that enables organizations to manage their data effectively, ensuring it is accurate, up-to-date, and integrated across all sources. Its extensive features and functionalities make it an essential component for any organization seeking to enhance their customer data management and engagement strategies.