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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as
Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile
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Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems
A big topic in business intelligence (BI) is the importance of “data quality”–cleaning data so that errors and inconsistencies are eliminated as much as
Data Out of Your BI Systems A big topic in business intelligence (BI) is the importance of “data quality”–cleaning data so that errors and inconsistencies are eliminated as much as possible. But what many users don’t realize is that this is just a part of a larger problem: How do you get the most out of business-relevant data floating around, inside and outside the organization? Discover the importance of clean data, and learn how to achieve it.
Exploiting Innovative Technologies in BI and Big Data Analytics
Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely
Innovative Technologies in BI and Big Data Analytics Data is worth nothing without the right technologies to facilitate its transformation into meaningful information—delivered to the right people in a timely manner—for improved decision making. Forrester recently conducted a survey with 330 global BI decision makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and Big Data tools. Is your company harnessing the latest innovations in
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.
Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, and the metrics you can use
Data Warehousing in the Big Data Era: Are You BIReady?
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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through
Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards
33% had failed to bill or collect receivables 20% had failed to meet a contractual or service level commitment Price Waterhouse Coopers “Addressing Data Quality”, IDEA February 8, 2006 You pay the wrong price. Cost increases and decreases are not correct in your back office system. Often your customer pricing system is based on a calculation involving costs. Margins can be misstated and additional costs are incurred to correct your system or the supplier invoices, and then reconcile financial
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating
Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches
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ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed
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Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined
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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in
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Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data
software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a high-performance, scalable platform employed to meet the most demanding requirements of global companies and rapidly growing e-Businesses . Large-scale enterprise and e-Business customers face unique challenges: more data in more
Mobile BI: Features, Challenges, and Opportunities
What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges
opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company.
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