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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

corporate data monitoring  corporate data. From a corporate perspective, there are three main drivers for ensuring data security becomes a core component of any data governance initiative: Regulation and compliance in regard to industry, local, and international data security and privacy regulations (e.g., The Sarbanes-Oxley Act , The EU Data Protection Directive , Directive on Privacy and Electronic Communications ). Intellectual property protection available in various forms: patents, trademarks, copyrights, etc. Internal data ac Read More...
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Documents related to » corporate data monitoring


The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

corporate data monitoring  often part of a corporate data management strategy, which, in general, encompasses the necessary elements to ensure data has the proper quality. But along the way in the evolution of an organization’s data quality initiative, the process gains in complexity, because of more intense interaction between data users and business units, along with the increase of security issues based on the need for moving data and sharing it among various stakeholders. So, as the Data Governance Institute mentions, Read More...
6 Steps for Linking Corporate Strategy to the Budget
Ask any three people in an organization why they budget and you’ll get three different answers. But no one says they budget in order to direct the way in which

corporate data monitoring  on the execution of corporate strategy. Technology often complicates the situation. For example, organizations typically create their strategic and operational plans using a word-processing application. The documents are owned and stored by a single user, cannot be easily updated to support the monitoring process, and have no analytical or version control facilities. Similarly, organizations may use spreadsheets still the most popular tool for collecting financial data to create and maintain their budgets Read More...
More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d

corporate data monitoring  become increasingly strategic to corporate growth, monitoring and maintaining the highest level of data quality are essential, said Art Petty, Firstlogic vice president of marketing. Our customer data cleansing and matching tools work with Ardent's DataStage Quality Assurance solutions to provide powerful, complete data quality management. . Market Impact As we predicted in Data Warehouse Vendors Moving Towards Application Suites (September 29, 1999), and Oracle Buys Carleton Corporation to Read More...
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes

corporate data monitoring  of asset performance and corporate risk exposure. As with the logic of the decision diagram, the criteria and characteristics of each of these policy choices have been detailed many times, and it is not necessary to describe them in detail here. However, it is necessary to detail how they affect the collection, management, and use of dynamic asset data. Predictive Maintenance As detailed in figure 2 below, predictive maintenance ( P Tive ) tasks are established to try to detect the warning signs that Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

corporate data monitoring  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

corporate data monitoring  Importance of a Single Product for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. 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

corporate data monitoring  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 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

corporate data monitoring  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 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...

corporate data monitoring  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design 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

corporate data monitoring  be managed as a corporate asset that appreciates in value over time. Historical data must be addressed with as much care as current database content. To accurately reflect trends, history files and archives should be considered whenever data validity and business rules are adjusted. Consideration should also be given to bringing history files in sync with current edit rules. By doing so, analytical processing on such data will be enhanced. IT and business managers are jointly responsible and ultimately 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

corporate data monitoring  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 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

corporate data monitoring  to clients. As more corporate functions, such as human resources or sales, are managed over a network, companies can see patterns across the whole of the business and share their information more easily. A free programming language called R lets companies examine and present big data sets, and free software called Hadoop now allows ordinary PCs to analyse huge quantities of data that previously required a supercomputer. It does this by parceling out the tasks to numerous computers at once. This saves 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

corporate data monitoring  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 pre Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

corporate data monitoring  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...

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