Published By: Teradata
Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs.
This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy?
Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars:
- Broad agreement on what information means
- Clear agreement on how owned information assets will be maintained and monitored
- Standard practices for securing strategic information assets
- Enterprise data integration strategy
In the age of information, staying on top of emerging threats requires IT teams to leverage existing tools in innovative ways, such as applying deep packet inspection and analysis from performance monitoring solutions for advanced security forensics.
Based on recent insight gathered from 322 network engineers, IT directors and CIOs around the world, 85 percent of enterprise network teams are now involved with security investigations, indicating a major shift in the role of those teams within enterprises. Large-scale and high-profile security breaches have become more common as company data establishes itself as a valuable commodity on the black market. As such, enterprises are now dedicating more IT resources than ever before to protect data integrity.
Published By: MuleSoft
Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture.
Read this whitepaper to learn:
-Data management challenges in financial services
-Best practices to manage data in financial institutions
-Integration strategies for optimal data management
Published By: Red Hat
Published Date: Sep 08, 2017
TransUnion, a leading global risk and information solutions provider, used mainframe computers to support its global business. To improve IT performance and costs, the company launched an initiative, Project Spark, to migrate all of its applications and systems to a Red Hat® operating environment. With the new infrastructure—based on Red Hat Enterprise Linux®, Red Hat JBoss® Middleware, and other Red Hat products—TransUnion achieved faster time to market, greater competitive advantage, improved employee satisfaction, and significant operating cost savings.
As information flows more freely in the business world, decisions need to be made quicker and based on sturdier data. The analytical capability that was once reserved for large enterprises has now permeated the world of Small to Medium Businesses (SMBs) and provided a solid foundation of visibility into what really matters to these companies.
In today’s business environment, customers rely on the most efficient, high performing, and reliable backup systems to protect critical business information. Customers need to protect increasing levels of data while keeping costs under control. HP StoreOnce Backup systems provide a disk-based data protection platform while addressing data growth by applying HP StoreOnce deduplication software for efficient, longer term data retention.This document describes the benefits of using HP StoreOnce Backup systems combined with HP StoreOnce Catalyst software and HP Data Protector to back up important enterprise data. This document also recommends backup and recovery implementations.
In the age of information, staying on top of emerging threats requires IT teams to leverage existing tools in innovative ways, such as applying deep packet inspection and analysis from performance monitoring solutions for advanced security forensics. Based on recent insight gathered from 322 network engineers, IT directors and CIOs around the world, 85 percent of enterprise network teams are now involved with security investigations, indicating a major shift in the role of those teams within enterprises. Large-scale and high-profile security breaches have become more common as company data establishes itself as a valuable commodity on the black market. As such, enterprises are now dedicating more IT resources than ever before to protect data integrity.
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
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