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Documents related to » technical data analyst


Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

technical data analyst  Maintenance , Springfield: National Technical Information Service, US Department of Commerce) Critical failures are, by their very nature, serious. When they occur they are often designed out, or a replacement asset is installed, or some other initiative is put in place to ensure that they don''t recur. As a result, the volume of data available for analysis is often small, and therefore the ability of statistical analysis to deliver results within a high level of confidence is questionable at best. This Read More...
December 2012 Boston Analyst Roadshow Snapshot
I am glad I was among the analysts invited to the traditional December analyst roadshow, which takes place in the beautiful city of Boston, by the event

technical data analyst  that describe the unique technical and business approach taken by UNIT4. The first is the Eval-Source report on UNIT4’s next-generation multitenancy, describing advantages over the traditional multitenant model in terms of reduced number of redeployment steps and overall process simplification. The second is UNIT4 Coda Financials'' survey results, which discovered intriguing data that only 56 percent of mid-market CFOs that use Coda Financials software in North America and Europe take all of their Read More...
CMOs Thriving in the Age of Big Data
CRM analyst Raluca Druta interviews TEC’s marketing specialist.Recently, the task of selecting customer relationship management (CRM) software tools appears to

technical data analyst  to summarize what their technical expertise amounts to? Yes. They have no choice. With so much data available now, marketers live and die by the numbers. They have to measure and test everything. But knowing what to measure and how to test isn’t easy. These are definitely technical skills, and marketing departments are always looking for people who are comfortable with data. Consequently, the CMOs have to be more technical in order to direct what their departments are doing. The flipside here is that Read More...
Analyst Take on SAPPHIRE 2013
With a very interesting book presentation on

technical data analyst  of investment, a reduced technical footprint, and faster results, all while providing an improved user experience. Read More...
TEC Research Analyst Roundtable: Predictions for 2011
It’s that time of year again for TEC’s analysts to polish their crystal balls and spread their tarot cards to gaze on the future of enterprise software for 2011

technical data analyst  more user-centric and less technical. Kurt Chen, Research Analyst—Product Lifecycle Management The year 2010 in the product lifecycle management (PLM) space has seen some exciting undertakings: social product development, computer-aided design (CAD) interoperability enhancements, PLM moving closer to the cloud, better supports for design and engineering decision making, and more. Although there were various approaches behind this year’s events, connectivity is a common thread, and it will become an ev 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

technical data analyst  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

technical data analyst  Data Integration: A Primer Originally published - August 22, 2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization''s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. 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

technical data analyst  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 their data as well as to ways to capture the most valuable Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

technical data analyst  facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

technical data analyst  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

technical data analyst  Product Data Quality | Technical Product Information | Product Data Sheet Search | Data Acquisition Toolbox | Product Data PDM | Product Data Management PDM | Find Product Data PDM | Looking for Product Data PDM | Managing Product Data PDM | Product Data Sheets PDM | Product Data Sheets Available PDM | Highlighted Product Number PDM | Model for Data Exchange PDM | Download Product Data PDM | Product Data Management Solution PDM | PDM Solution PDM | Speed Product Development PDM | Accurate Product Data Read More...
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

technical data analyst  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: Identify and define. Identify. The first step in this process involves scoping the initiative in order to focus on the most relevant and critical issues Read More...
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

technical data analyst  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

technical data analyst  interviewing Roger Gaskell, chief technical officer (CTO) of Kognitio, and got some of interesting insights on Kognitio’s systems as well the BI and the data warehouse space in general. Roger Gaskell is responsible for all the product development that goes on at Kognitio. Prior to Kognitio, Mr. Gaskell worked as a test development manager at AB Electronics, primarily for the development and testing of the first mass production of IBM personal computers. 1.    Hello, Mr. Gaskell. Could you give us a 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

technical data analyst  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...

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