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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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 ancient industry and data quality


Yet another Case for Industry-Specific Solutions
Technology is changing at a breakneck pace, and is there anyone out there who will debate me on that issue? The undeniable evidence that I am getting old is

ancient industry and data quality  not only that an ancient technology, telephone, would save you time and frustration, but how about checking out those handy flight delays and flight tracker Web sites first? While these (hopefully rare) examples of individuals can be written off in part due to someone’s ignorance, laziness, or simply the so-called “stupid factor,” what about the many enterprise executives still making terrible errors in judgment, in spite of stellar resumes (in terms of education and experience)? How Passé Is It

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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 Manufacturing (SMB)

TEC's new ERP for Manufacturing (SMB) evaluation model targets the software requirements of small and medium enterprises. If your organization doesn't have many sites to operate, seeks a solid base of ERP functionality, but doesn't want every possible feature of the biggest systems on the market, this model is a good starting place for your research. It covers fully featured accounting solutions with necessary manufacturing, inventory, human resources, purchasing, quality, and sales management functionality. 

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Documents related to » ancient industry and data quality

The Modelling Approach to Post-implementation Agility in Enterprise Systems


Change happens, and it will always happen in virtually every business environment. The underlying enterprise system should thus be an aid to changing the business, rather than an obstacle, as is the usual case today.

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Soured on Expiration: The Value Proposition and Strategy for an Agile Enterprise Systems Vendor


Post-implementation agility should be the goal of most companies in their enterprise resource planning (ERP) selection. However, it is not so easy to dispel a widespread preference for the "usual suspect" ERP choices that currently stop short at post-implementation agility.

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ROI Systems Defies The Odds Through Delighted Customers Part Three: Strengths, Challenges and User Recommendations


ROI System is definitely a "user's vendor" that should raise the bar for customer care best practices amongst its competitors.

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Massive Data Requires Massive Measures


One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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How Companies Use Data for Competitive Advantage


Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

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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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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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