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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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 ilm perspectives on data warehousing

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

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Documents related to » ilm perspectives on data warehousing

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.

ilm perspectives on data warehousing   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 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 leverage data as an asset.

ilm perspectives on data warehousing   Read More

Benefits of On-demand CRM over Traditional Installed-On-Premise CRM Software Solutions


The high price and complexity of traditional, installed, on-premise enterprise software has left small and medium businesses (SMB) unable to obtain true integrated customer relationship management (CRM) and enterprise resource planning (ERP) software. On-demand, software as a service is changing all that. The lower costs and the short implementation period for an on-demand customer relationship management solutions make it lucrative for smaller businesses.

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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

ilm perspectives on data warehousing  data warehouse,data warehousing,data acquisition,metadata management,data mining,data cleansing,data capture,Data Warehousing definition,Bill Inmon,Ralph Kimball,database technology management experience,data warehouse design expertise Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

ilm perspectives on data warehousing   Read More

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.

ilm perspectives on data warehousing  Delphix Agile Masking, data masking, data security, security concerns, production environments, masking solution Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

ilm perspectives on data warehousing  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center cooling module, data center power and cooling infrastructure, traditional data center, containerized data center, data center TCO Read More

Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

ilm perspectives on data warehousing  data masking, data security, information security, data as a service, Delphix, agile data masking, data management Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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How to Calculate the Return on Investment (ROI) On a Digital Signature Solution


More and more companies are implementing digital signature solutions, allowing a completely electronic workflow, from document creation through to its signing, archiving, and auditing. You no longer have to interrupt your streamlined electronic processes by reintroducing paper into the workflow. This white paper will help you establish the return on investment (ROI) that your organization can achieve by deploying a digital signature solution. Also included is a chart summarizing the figures you need in order to calculate your own ROI.

ilm perspectives on data warehousing  digital signature, digital signature solution, electronic signatures, business automation, workflow automation, SharePoint, document management, workflow management, regulatory compliance, document management solution Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

ilm perspectives on data warehousing  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More

The Scribe Solution for Salesforce and Microsoft Dynamics GP: Bridging the Gap Between On-demand CRM and On-premise ERP


For years, organizations have had to settle for inadequate approaches to front-office to back-office integration. However, with Scribe’s component architecture, when a new version of Dynamics GP or Salesforce comes out, you can plug in a new version of the Scribe Adapter for the upgraded application, and your existing Dynamics GP to Salesforce Template will experience little or no disruption.

ilm perspectives on data warehousing   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 responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

ilm perspectives on data warehousing  project management,internalize data centers,data center project management services,data center project management,virtual data center,data center knowledge,data center virtualization Read More

BI: On Demand, On Premise, Open Source, or Outsourced?


On-premise or on-demand, business intelligence (BI) solutions can help businesses become more intelligent about key processes. But what are the benefits to implementing cloud-based BI over traditional software? Are on-demand BI applications as popular in the enterprise as they are with midmarket companies? And what are some reasons people don’t outsource BI? Find out the answers to these questions and more. Download this guide now.

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