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Field Service Management (FSM)
Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter r...
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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...
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...
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...
Replicate with Integrity: Protecting VMware Data to Ensure Fast Recovery and Business Continuity
For disaster recovery, remote replication is a simpler alternative to traditional servers. However, simple replication in a virtual server can affect the

ensure data  Protecting VMware Data to Ensure Fast Recovery and Business Continuity For disaster recovery, remote replication is a simpler alternative to traditional servers. However, simple replication in a virtual server can affect the consistency of files or applications and create longer recovery cycles. Find out how two virtual machine (VM) solutions can overcome these limitations to deliver consistent replication and fast recovery of stored data for uninterrupted processes and business continuity. 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...
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

ensure data  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 reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

ensure data  by data stewards to ensure that changes made to the database are appropriate and accurate. The system reduces data change management by controlling the flow of bad data. This is accomplished by a workflow process allowing data stewards to efficiently prioritize, evaluate, and act upon contact changes. The workflow plays an important role in the submission process by directing all changes to the correct data steward for their review. Another key InterAction data quality feature is the Contact Verifier. Whe 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...
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...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

ensure data  pre-installation of this equipment ensures that during future IT deployments major utility work does not need to be performed on the live data center. However, this approach has many major downside costs, including: Future IT density exceeds the density of the power and cooling infrastructure and therefore cannot be effectively deployed Future IT density is less than the density of the power and cooling infrastructure and therefore major infrastructure investments are wasted The facility never expands, Read More...
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

ensure data  with other suppliers to ensure that time and equipment dependencies are optimally managed Initiate corrective action against any identified delays, shortages, ambiguities, or other problems Serve as the customer''s single point of contact with this vendor Ideally, commitment and scheduling information is visible to all project stakeholders (including the customer) using a convenient access method such as a Web-based tracking site, which the project commitment manager updates and manages. Engineered Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

ensure data  Data Quality Tools | Ensure Data Quality | Enterprise Data Quality | Examining Data Quality | Good Data Quality | Highest Data Quality | Improving Data Quality | Measure Data Quality | Online Data Quality | SSIS Business Data Quality | SSIS Customer Data Quality | SSIS Data Quality | SSIS Data Quality Analysis | SSIS Data Quality Articles | SSIS Data Quality Assessment | SSIS Data Quality Business Intelligence | SSIS Data Quality Center | SSIS Data Quality Control | SSIS Data Quality Improvement | SSIS Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

ensure data  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

ensure data  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...

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