X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 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. 

Evaluate Now

Documents related to » it data loss

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

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

it data loss  steps in data protection. It can be used for data transported over non-IP protocols, single users needing access to a cryptographically segmented LAN and protecting wireless. Scale to enterprise-wide data protection by solving the manageability problem. As data protection solutions are deployed in the four areas discussed above, and as the number of keys and devices start to grow, key and policy management needs to be automated through specialized software tools. These important steps can be taken today 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

Avoid Costly Data Loss and Equipment Failure


Find out about the invisible power supply threats you faceand what you can do about themin this apc white paper: the seven types of power problems.

it data loss  electricity that powers your IT equipment. That''s because there are seven kinds of power supply problems that can cause data loss or IT equipment failure. Everything from brownouts, to power interruptions, to voltage fluctuations and spikes can result in you losing time, money, equipment, programs, and company data . Shockingly, every year problems like these cost industry upward of $120 billion (USD). But you don''t have to fall victim. There are often simple steps you can take to make sure you never 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

Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

it data loss  their project lifecycle, the IT department would have less data to clean up post golive. We have all heard this before: Fix the records on the fly. So basically, the old garbage in - garbage out pretty much says it all. Systems that support human decision-making should be systems which possess clean data. To get valid data, companies must create a common business language- business rules. Once established, now bringing disparate data sources together is easy and sets the foundations for business Read More

Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

it data loss  week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them. 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 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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

it data loss  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 unified view of the data terrain necessary to support big data and the real-time needs of Read More

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

it data loss  end-to-end data warehousing services. It utilizes technologies provided in Microsoft Office 2000 and Microsoft SQL Server 7.0 products, and a partnership with Data Warehousing Alliance members for complementary tools and applications. The DWF enables data warehousing solutions where the data comes from virtually any source and where any type of information can be delivered to any compliant client interface or application. Market Impact Once again, Microsoft is using proprietary standards (OLE DB and Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

it data loss  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and d Read More

IT Management and Development


The IT management and development business area focuses on developing the tools and resources required to understand, use, and manage IT infrastructure in order to help companies enhance their operational, tactical, and strategic capabilities. Tools for IT management and development can help companies control and measure the quality and effectiveness of their IT infrastructures, and manage software and hardware development tasks.

Challenges related to IT management and development revolve around the need for continuous research to improve products and technologies; the need to improve business and service models to increase return on investment (ROI); and, if necessary, the need to outsource IT management and development to nearshore and offshore destinations.

it data loss  Management and Development The IT management and development business area focuses on developing the tools and resources required to understand, use, and manage IT infrastructure in order to help companies enhance their operational, tactical, and strategic capabilities. Tools for IT management and development can help companies control and measure the quality and effectiveness of their IT infrastructures, and manage software and hardware development tasks. Challenges related to IT management and 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 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.

it data loss  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

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

it data loss  sector of the market. It was an instant hit—and brought the nascent field of data visualisation to a mainstream audience. In recent years there have been big advances in displaying massive amounts of data to make them easily accessible. This is emerging as a vibrant and creative field melding the skills of computer science, statistics, artistic design and storytelling. Every field has some central tension it is trying to resolve. Visualisation deals with the inhuman scale of the information and the Read More

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.

it data loss  help your organization use its data sources to the utmost. Read More