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 Data Warehouse 

Operational Data Store Loading

Timely Operational Data: The Real-time Enterprise

With the integration of CRM and ERP systems internally as well as the introduction of real-time data feeds from supplier and distribution partners, the need for operational data stores (ODS) has become a business imperative. The ODS provides up-to-the-minute information on your customer orders, your fulfillment process, and your supplier schedules to meet fluctuations in demand. In some cases, the ODS also serves as a central database for commonly used product codes, location codes, and other reference data that applications must share — commonly referred to as Reference Data Management.

One-Stop Loading and Storage of Key Business Data

Pervasive MessageStore is an electronic customer/partner data hub solution that provides companies with a high value, low TCO way - without custom coding - to receive, integrate, store, audit and retrieve data sent in message formats such as XML or EDI, and in industry standards such as HIPAA, HL7, or ACORD. It provides companies with a way to become compliant to these industry standards without custom coding, having to learn the complexities of the standards themselves, or becoming certified in those standards.

Data Warehouse Loading

Business Intelligence: The Competitive Edge

In today's competitive business environment, data warehousing is not just for the large enterprise. In fact, almost every organization, regardless of size, can sharpen its competitive edge with business intelligence — accurate, timely information that is consolidated, analyzed, and managed in data marts and warehouses. With the right business intelligence, organizations can enhance decision-making, build better customer relationships, strengthen business partnerships, and improve their response to rapidly changing markets.

Flexible, Cost-Effective, and Efficient

Pervasive integration solutions are ideal for mid-size enterprises or departments of large enterprises that need flexible, cost-effective, and efficient solutions for building an ODS or a data warehouse. Pervasive products, such as Pervasive Data Integrator, are available for aggregating and transforming data for ODS (Class I, II, or III) and data warehouse loading.

Powerful Extract, Transform, and Load (ETL) capabilities and easy-to-use interfaces help reduce development costs, increase integration efficiencies, minimize the impact of system changes, and reduce project risk. More than 160 native data connectors are available for incorporating any data into the ODS or warehouse — including mainframe/legacy, relational databases, flat files, XML, data from the Web, packaged CRM and ERP applications, and much more.

With Pervasive Data Integrator, smaller organizations and departments have the business intelligence capabilities they need to stay competitive in today's tough markets.

Benefits of Data Integration with Pervasive

  • A broad view of corporate information with aggregation of data from hundreds of data formats and applications
  • Scalable design and deployment model that allows data warehouse projects to start small with low risk and then grow as business demands
  • Low total cost of ownership and improved time to value through reusable components and efficient design interfaces, which enable rapid implementation of projects.
  • Greater productivity with easy-to-use and administer design interfaces
  • Unmatched data mapping and transformation strength and control so that any data can be included for decision making
  • Easy-to-use design environment that allows rapid inclusion of new data sources into the ODS or data warehouse, and also expedites repair to ETL processes due to source schema changes
  • Easy metadata interchange and reuse with other processes and tools since all design metadata is stored as XML in an open repository
  • Ability to include unstructured data from sources such as email and print reports into the data warehouse for analysis
  • Populating the ODS or warehouse with real-time data via Web Services or message bus services (e.g. IBM MQ, Oracle AQ, JMS)
  • Bulk load large volumes of data in tight time windows with high-performance, multi-CPU, and multi-platform Integration Engines
  • Ability to capture and update changes that have occurred in the source systems since the last load
  • Decentralized execution of ETL processes for greater processing efficiency and flexibility

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Embeddable Data Management and Integration

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