As a result, it's becoming increasingly difficult and expensive to access, ... The
Lean Applications approach also leverages Informatica's test data management ...
Informatica Lean Data Management Solutions Make Big Data Small: Manage Data More Efficiently and Reduce Costs Tony Pagliarulo Vice President of IT, EMC
“With Informatica ILM solutions and EMC technology, we’ve been able to reduce our data growth dramatically, resulting in millions of dollars in savings and we’ve been able to improve the performance of our Oracle CRM and ERP applications anywhere from 30% - to over 50%.”
BENEFITS • Improve application and data
warehouse performance • Reduce infrastructure and
maintenance costs • Meet or exceed production Service
Level Agreements (SLAs) • Eliminate the cost of maintaining
legacy applications • Ensure compliance to retention and
privacy regulations
Big Data keeps getting bigger. Data volumes are growing more than 65 percent annually, with up to 80 percent of it dormant. As a result, it’s becoming increasingly difficult and expensive to access, manage, back up, and store data volumes in a timely, secure, and compliant way. Lean Data Management is a strategy to implement processes, standards, technology and resources to best maximize IT operational efficiencies in your organization – and to ensure continuous improvements in the management of your data and applications. Based on the seven core principles of the lean development/manufacturing process, Lean Data Management offers a unique approach to managing the exploding volumes of data that can be found in both production and non-production environments. Informatica Lean Data Management Solutions are supported by Informatica Application ILM technology and focus on three distinct areas: applications, data warehouses and application portfolios. These solutions, for both production and non-production environments, work together to provide an effective data management strategy to dramatically reduce costs, improve service level agreements, ensure proper compliance across the organization and establish a long-term approach to keep data management on track to meet your organization’s business requirements.
• Increase productivity, efficiency, and
quality of development, testing, and training
Key Features Manage Big Applications • Automate business rules for removing and archiving closed transactions from production
applications • Move dormant data to another lower cost database infrastructure for seamless access from the
original application interface, or to a central file archive that’s highly compressed (up to 98%) to reduce storage capacity requirement, but is still easily accessed from any reporting or business intelligence tool • Effectively automate retention policy management and disposal of expired records • Provision smaller, relevant functionally intact but fully masked smaller data sets to streamline
development, testing, and training
Gain Visibility and Optimize Big Data Warehouses • Monitor and provide visibility to who uses which data at what time, to identify dormant and
unused data • Monitor and identify long running queries and reports to optimize data warehouse design and
query performance • Identify what data is used by which departments to prioritize resources • Provide execution and performance reports across extraction, transformation, and load
processes and servers to better manage data warehouse loads • Reduce overall data warehouse costs by archiving dormant data • Ensure secure development, testing, and training with functionally intact but fully masked
smaller data sets
Rationalize Big Application Portfolios • Archive data from retired applications, converting it to a more optimal, highly compressed (up
to 98%), immutable, secure format • Ensure easy access and search to archived data for reporting and faster eDiscovery • Establish and automate data retention and destruction policies for effective compliance • Deliver complete audit reports on archived data to support establishing a chain of custody
Benefits Manage Big Applications to Optimize Performance and Costs with Lean Applications Informatica’s Lean Data Management practices deliver Lean Applications with Informatica’s Database Archiving solution to archive dormant data out of production environments leaving them streamlined to fully meet the needs of the business and improve user response times, yet optimized for cost and maintenance. Backup, upgrade, and disaster recovery windows are minimized. Infrastructure costs to support mission critical production data are reduced. The Lean Applications approach also leverages Informatica’s test data management solution to provide referentially intact, secure (sensitive data is masked) subsets of production that enables faster provisioning of copies in non-production environments for testing and development purposes. These environments deliver smaller footprints to minimize infrastructure costs, optimize performance, and reduce refresh and backup windows, resulting in shorter project timelines and faster time to deployment. The overall impact to the organization is increased business agility and competitive edge.
Gain Visibility and Reduce Big Data Warehouse Costs with Lean Data Warehouses The Lean Data Warehouses component of Informatica’s Lean Data Management practices utilizes Informatica Data Warehouse Advisor software to identify which data is never used and therefore does not need to be loaded into the warehouse or is no longer used and can be archived. In addition, Informatica’s database archiving solution is used to relocate and convert the dormant data in the data warehouse to a more optimal format for long term retention, reducing the production footprint and overall infrastructure and maintenance costs.
Data warehouses have similar issues to transactional systems in their non-production test and development environments. Lean Data Warehouse practices leverage Informatica’s test data management solution to reduce the size of non-production data warehouses by creating secure (by masking sensitive data), smaller, more relevant subset copies of production data that meet the needs of non-production users, while minimizing infrastructure costs and reducing the time to provision these environments, resulting in shorter time to go-live.
Retire Legacy and Redundant Applications with Lean Application Portfolios With the increasing number of mergers and acquisitions, IT consolidation and modernization, and application migration initiatives, organizations may have hundreds to thousands of redundant and legacy applications that are costly to maintain, yet have marginal value to the organization. The Lean Application Portfolios component of Informatica’s Lean Data Management practices eliminates the infrastructure and maintenance costs associated with legacy, redundant applications, by archiving the data that needs to be retained, enabling the original applications to be decommissioned. In addition, you can more effectively and automatically manage retention and disposal policies. The archived data is also easily searched to ensure timely responses to eDiscovery and audit requests.
Learn More Learn more about Informatica Lean Data Management solutions and the entire Informatica Platform. Visit us at www.informatica.com or call (800) 653-3871.
About Informatica Informatica Corporation is the leading independent provider of enterprise data integration software and services. Using Informatica services and solutions, companies can access, discover, cleanse, integrate, and deliver data across enterprise systems to save costs, reduce complexity, ensure consistency, and empower the business. More than 3,600 companies worldwide rely on Informatica for their end-to-end enterprise data integration needs.
Worldwide Headquarters, 100 Cardinal Way, Redwood City, CA 94063, USA phone: 650.385.5000 fax: 650.385.5500 toll-free in the US: 1.800.653.3871 www.informatica.com © 2011 Informatica Corporation. All rights reserved. Printed in the U.S.A. Informatica, the Informatica logo, and The Data Integration Company are trademarks or registered trademarks of Informatica Corporation in the United States and in jurisdictions throughout the world. All other company and product names may be trade names or trademarks of their respective owners. First Published: August 2011
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