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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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 it data loss

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

Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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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 intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

it data loss  of your organization as it moves in, out, and across your company. Data can have various forms—structured, unstructured, or semistructured. Data can be seen from both technical and business perspectives. Data can be seen from a user-centric perspective—to promote awareness of data security across your organization. Now let’s look at some guidelines you should consider when launching an information security governance program and a general plan to follow from an information security perspective: Read More

CRM: What Is It and Why Do It? Part One: Historical Background


Many consultants, vendors, and analysts today define CRM in terms of being a customer-centric business strategy that is enabled by a set of applications that support customer-facing functions and management decision making. That may capture the essence of what CRM is, but it does not begin to capture why an end user organization should invest significant resources to pursue such an initiative.

it data loss  operations. At that time, it was thought that merging the customer data from the field (sales) with the call center interactions would result in more informed interactions with the customer. The concept resonated with user organizations and soon mergers and acquisitions created a host of software vendors all claiming to have an integrated set of capabilities that became known as CRM. On a parallel track, Internet-based tools such as e-commerce, Internet marketing, personalization, and self-help were 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 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.

it data 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

Smart Grids: Data Theft, Revenue Loss, and Secure Solutions


While technology has made it possible to transmit power across geographies and time zones, power companies remain unable to fully leverage these developments. This is a result of the challenges posed by power theft from transmission and distribution lines spread across very large geographies. These leakages are the result of tampered meters and sloppy revenue protection strategies. One solution is to deploy smart grids that provide a high degree of real-time visibility, control, and responsiveness to activity on the grid. Learn more. Download this white paper now.

it data loss  While technology has made it possible to transmit power across geographies and time zones, power companies remain unable to fully leverage these developments. This is a result of the challenges posed by power theft from transmission and distribution lines spread across very large geographies. These leakages are the result of tampered meters and sloppy revenue protection strategies. One solution is to deploy smart grids that provide a high degree of real-time visibility, control, and responsiveness to Read More

IT Sales Lead Generation: Understanding the Complex Sales Needs of the IT Industry


The sales lead generation process for technology companies is very different from lead generation in other industries. Technology sector needs are more precise, and the target market is almost exclusively business-to-business (B2B), with the individuals often being decision makers high up the corporate ladder. Find out how to reach this difficult target, with prospecting methods and tips for making more complex sales.

it data loss  Searches related to IT Sales Lead Generation Cleaning sales data | IT Infrastructure projects | Managing Sales Leads | Marketing Automation | Optimizing Lead Management | Outsourcing leads | Sales Process Operations | Win / Loss Analysis | advertising lead generation | advertising leads | apply Prospecting process | apply sale management process | applying sales process | b2b | b2b company | b2b integration | b2b strategy | business insurance leads | business lead generation | business leads | Read More

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.

it data loss  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. Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

it data loss  are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. 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 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.

it data loss  and customer defection. Therefore, it is imperative to clearly define a standard for your data requirements and how these requirements should support specific business objectives. One common affliction of data quality is a result of the fast pace of business environments. Information is constantly evolving. People are constantly moving in and out of positions, and companies continually change their contact details. These results in a number of common issues involving Incorrect or inconsistent collections Read More

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.

it data loss  phase of ETL, if it is performed at all. Data warehouses can be designed to store data at the detail level (each individual transaction), at some aggregate level (summary data), or a combination of both. The advantage of summarized data is that typical queries against the warehouse run faster. The disadvantage is that information, which may be needed to answer a query, is lost during aggregation. The tradeoff must be carefully weighed, because the decision can not be undone without rebuilding and Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

it data loss  organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More

Replenishment: What Is It exactly and Why Is It Important?


Replenishment is an area within operations where retailers can find a competitive edge. Excelling at replenishment enables implementation of promotional, pricing, and assortment strategies. Also, profit can be gained by minimizing inventory levels and reducing lost sales. This increases time for analysis and special projects, as it’s no longer necessary to fight the fires of overstock and out of stocks.

it data loss  What Is It exactly and Why Is It Important? Replenishment: What Is It exactly and Why Is It Important? If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Retail Replenishment can be defined as acquiring product on a recurring basis to support anticipated need. Replenishment is best served as an automated process given the huge number of combinations of items and store locations. Systematic creation and updates to demand Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

it data loss  energy consumption of your IT equipment how to increase the energy efficiency of your cooling, power, and lighting equipment why system design is the most important factor in determining the efficiency of a data center In today''s tough economy, you need to look at every energy and money saving option at your disposal. Find out what you need to know about running an energy-efficient data center. Download your PDF copy of Implementing Energy-efficient Data Centers today.   For assistance, please contact 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 business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

it data loss  improvements. Some organizations find it difficult to closely align data management and business cooperation, tactics, and strategy. In addition, appropriate and expedient data management must involve the necessary technology (hardware and software) and the right people and business processes working together for the sole purpose of enhancing business performance. This is simple to say but hard to do, for as James Robertson states in his blog post “ 10 principles of effective information management Read More