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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 impact of poor data quality


Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe

impact of poor data quality  (FMI) focused on the impact of data quality in the supply chain. The study estimates that: 12 23% of sales and administrative personnel time is spent correcting invoices, orders, purchase orders, etc. 3 5% of all stock outs, resulting in a loss of sales, are due to data quality issues. Item catalog errors take on average $60 80 per error to fix and catalogs average an error rate of over 30%. If inventory data is wrong, you either lose sales due to an inability to ship or, more often, increase your safety

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

ERP for Municipalities

In this model, we assume the municipality controls water, sewers and roads. We assume also that it collects municipal or county taxes and manages many of its own assets such as vehicles and water treatment plant. ERP software for Municipalities nearly always includes Finance, Customer Care and Billing For a complete municipal ERP suite, the following modules are usually included: - Human Resources - Maintenance Management - Asset Management - Project Management ( including Grant Management) - Quality Management - Analytics - Product Technology Of the above, Project and Quality Management modules may not be required for smaller Municipalities.    

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Documents related to » impact of poor data quality

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 company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

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Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics


No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and cost real dollars.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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Captured by Data


The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.

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Maximize the Green Efficiency of Multi-Site National Rollouts of Technology


The service industry consumes millions of gallons of fuel and expends trillions of pounds of carbon monoxide each year as trucks roll to installation and service locations. Eliminating unnecessary travel is one way service companies can help protect the environment, and meet environmental compliance requirements. Discover a methodology that can help you reduce your fleet’s fuel consumption and carbon monoxide emissions.

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Forecasting Total Cost of Ownership for Initial Deployments of Server Blades


For organizations deploying many servers, total cost of ownership (TCO) analyses favor blade over rack-optimized systems. Blade server systems—reducing both capital and operating expenses—exploit economies of scale when deploying servers in volume. Saving power, cooling, and space by more than 25 percent, the blade advantage is particularly relevant for servers working in conjunction with storage area networks (SANs).

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The Best of Both Worlds: Gain Flexibility through Multiple Models of Software Delivery


Lower IT costs, faster return on investment (ROI), and better security—just a few of the promises the software-as-a-service (SaaS) business model makes. SaaS can help small-to-medium businesses manage customer service and support cost-effectively. But there are a few concerns to consider if you’re thinking of an on-demand service. A vendor that offers the best of both on-demand and on-premise solutions may be the answer.

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Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

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The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

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Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

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