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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

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...
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...
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

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...
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

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...
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

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...
What Makes a Good IT White Paper Good… and a Bad IT White Paper Very, Very Bad…
A white paper is a document or “brief” (and yes, perhaps unfortunately, I mean “brief” in the sense of something that informs rather than something that is

it data loss  Makes a Good IT White Paper Good… and a Bad IT White Paper Very, Very Bad… A white paper is a document or “brief” (and yes, perhaps unfortunately, I mean “brief” in the sense of something that informs rather than something that is short —white papers are sometimes as concise as newspaper editorials, or run as long as the latest “… For Dummies” book; examples of this will be provided in upcoming posts). A white paper’s purpose is to educate the reader, who is the potential Read More...
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

it data loss  how BIReady is meeting its goal of helping companies become BI ready. Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

it data loss  Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and Read More...
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

it data loss  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. Read More...
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

it data loss  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. Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

it data loss  with a framework for its successful operation. Download your PDF copy of Ten Errors to Avoid when Commissioning a Data Center today.   For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: 514-954-3665, ext. 367. Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

it data loss  when estimating the time it will take to accomplish data mapping are: Know that some of your target requirements will require significant transformations, or the creation of new data content. For example, the mapping scope should include the effort to create reference data for the target application, such as product types, customer status, and vendor segmentation types. It''s not uncommon for the team, working with the data experts, to create these and set up some cross-reference tables to support the Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

it data loss  th at everybody knows it , including the bad guys. Protect Cardholder Data From a security perspective, data needs protection at all times. But security considerations, technologies and solutions vary for data that''s in motion (moving between sender and receiver) versus data that''s at rest (sitting in a file or database). Thus, the PCI DSS requirements for protecting cardholder data distinguish between protect stored cardholder data and encrypt transmission of cardholder data across open, public Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

it data loss  as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

it data loss  data will be enhanced. IT and business managers are jointly responsible and ultimately accountable for data quality. Every IT manager must provide the tools necessary both to ensure that only high-quality data can get into application systems and to identify exceptional conditions that might creep into their systems. By doing so, business managers can be held accountable for data cleansing and quality management. The cost of high data quality is low, and the short- and long-term benefits are great. Read More...

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