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Field Service Management (FSM)
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Documents related to » ensure data


The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

ensure data  of authorized users to ensure that access to data meets the conditions and is consistent with those outlined in the information governance plan or information security program. INPUT id=Check1 type=checkbox>Fully Support INPUT id=Check1 type=checkbox>Somewhat Support INPUT id=Check1 type=checkbox>Do Not Support Policies and procedures in place to ensure that all complementary environments to production (such as testing and quality control) comply with the use of masked data to ensure that no unwanted Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

ensure data  tools necessary both to ensure that only high-quality data can get into application systems and to identify exceptional conditions that might creep into their systems. By doing so, business managers can be held accountable for data cleansing and quality management. The cost of high data quality is low, and the short- and long-term benefits are great. Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

ensure data  we can do to ensure a more efficient data management process is stay attuned to the changing business priorities of the organization. As always, I welcome your thoughts—leave a comment below, and I’ll respond as soon as I can. Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

ensure data  order each time to ensure data is evenly distributed across all disks (see Figure 3 ). LOGICAL MODEL The distinction between a logical model and a physical model is sometimes confusing. In this paper a logical model for a data warehouse will be treated more as a conceptual or abstract model, a more ideological view of what the data warehouse should be. The physical model will describe how the data warehouse is actually built in an Oracle database. A logical model is an essential part of the development Read More...
How Midsize Businesses Can Reduce Costs, Secure Data, and Ensure Compliance with an Identity Management Program
A strong identity management platform plays dual roles: gatekeeper and guardian of business intelligence (BI) and data. Midsize businesses can’t operate

ensure data  Encryption | Secure Data Ensure | Secure Data Ensure Compliance | Secure Data Network | Secure Data Services | Secure Data Software | Secure Identity Management | Security | Solutions | Stronger Identity Management | Support Dentity Management Strategy | Support Identity and Access Management Solutions | Support Identity and Access Management System | Support Identity Management | Support Identity Management Applications | Support Identity Management Architecture | Support Identity Management Concepts | Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

ensure data  reconciliation are needed to ensure that the data is consistent across these applications. You should also plan for performance testing. Many projects are delayed because the development team has successfully converted a test set of data but waited until the last minute to run the conversion of the full set. A customer consolidation project for one of the largest global computer manufacturer''s was delayed by months when the development team attempted to convert (at go-live!) a year''s worth of customer Read More...
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

ensure data  create digital signatures that ensure the data has not been altered in transit. This defends the network against attacks where encrypted data is intercepted and the payload is switched between packets. In these attacks data is never exposed, but the data stream is corrupted with other proprietary security protocols. These three key security features of IPSec offer the best security available. When data on network protocols other than IP needs to be protected, customers want the same security Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

ensure data  Electronic Data Security | Ensure Data Security | Enterprise Data Security | First Data Security | Free Data Security | Improve Data Security | Increase Data Security | Integrated Data Security | Internet Data Security | Management Data Security | Online Data Security | Original Data Security | Post Data Security | Research Data Security | Retail Data Security | Small Business Data Security | Test Data Security | Web Data Security | Why Data Security | Wireless Data Security | PCI DSS Data Security | PCI Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

ensure data  which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure. Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

ensure data  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

ensure data  customer. Data mapping helps ensure the data elements are the same across disparate systems, and mapped where appropriate. For example, it is important that the customer first and last name link up the same way in each disparate system, to guarantee that the correct information is being merged. Included in data mapping are the linking and matching of customer records in order to confirm that the right data is being attached to the right customer when centralized in a hub or data store. Data quality is a Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

ensure data  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More...
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

ensure data  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 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 Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

ensure data  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

ensure data  not be deleted. This ensures that all data is integrated and homologated to reflect one single version of the truth throughout the organization (every quarter, month, week, or even day). There are many tools that enable data analysis from very diverse points of view—reporting and analysis tools, online analytical processing (OLAP) analysis tools, data mining, forecasting, etc. Managers and decision makers realized that a data warehouse—and its technology—had the ability to provide a complete view Read More...

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