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Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

data analysis techniques  In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Read More
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » data analysis techniques


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

data analysis techniques  also known as : Data Analysis , Data Managing , Data Visualization , Business Data Management , Data Base Management , Managing Information , Enterprise Data Management , Asset Data Management , Data Information Management , Data Storage Management , Customer Data Management , Data Warehouse Management , Data Management Marketing , Server Data Management , Data Management Solutions , Data Management Technology , Data Content Management , Data Centre Management , Data Management Tools , Free Data Read More
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

data analysis techniques  of data and embedding data analysis into traditional applications. Purchased by Gentia Software, an OLAP (On-Line Analytical Processing) specialist, in 1998; thinkAnalytics was recently launched as a separate company. The company's product suite comprises a variety of analytic tools that sit on top of common middleware and analysis functions. The middleware functions do not replace traditional ETL (Extract/Transform/Load) functions but rather augments them to provide intelligent data cleanup. Data Read More
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

data analysis techniques  mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization's goals (such as company revenue, Read More
3 Big Trends in Data Visualization
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.Data

data analysis techniques  —John W. Tukey. Exploratory Data Analysis . 1977. Data visualization is core to business intelligence (BI), as it’s the means by which data is communicated to the user. Results, alerts suggestions, or even more controlled guidance—all of these elements are passed through the data visualization function of a BI application. No matter how much importance software providers give the aesthetics of visualization, all agree that a BI or business analytics application requires a visualization framework Read More
Scalable Data Systems
Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast

data analysis techniques  Data Systems Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast-track projects to complex integration and development projects. Scalable has over 25 years of experience developing best-practice industry solutions and individual horizontal modules. Scalable provides dedicated industry solutions for manufacturing and supply chain/distribution, with verticals for food and beverage, chemicals, Read More
Effective Inventory Analysis: the 5 Key Measurements
The white paper effective inventory analysis isolates and walks you through five simple measurements that will help you ensure you are maximizing t...

data analysis techniques  Inventory Analysis: the 5 Key Measurements As a distributor or manufacturer, how do you stack up when it comes to monitoring the performance of one of your largest investments: your inventory? Computer-generated reports can be more of a hindrance than a help—many systems produce so many reports, you can drown in them. Measurements that evaluate inventory performance? There are literally hundreds of them, so which ones tell you what you really need to know? The white paper Effective Inventory Read More
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

data analysis techniques  to Comply with Data Security Regulations BizDomainStore.com's Remote Data Backups is the most cost effective, secure, and convenient way to automatically back up your mission critical data Source: BizDomainStore.com Resources Related to How to Comply with Data Security Regulations : Data Security (Wikipedia) How to Comply with Data Security Regulations Data security is also known as : Remote Data , Federal Data , State Data , Most Data , Mirrored Data , Financial Data , Client Data , Enterprise Data Read More
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

data analysis techniques  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

data analysis techniques  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business Read More
Financial Analysis Clears the “Profit Haze”
Designed to be agile and dependable, financial analysis solutions can bring clarity to the reasons behind your company’s growth, and help steer you toward

data analysis techniques  Comparison | Financial Analysis Data | Financial Analysis Experience | Financial Analysis Review | What-if Analysis Enables Companies | Financial Analysis Website | Online Financial Analysis | Performing Financial Analysis | Simple Financial Analysis | Financial Analysis Problem | Complex Financial Analysis | Financial Analysis Questions | Financial Analysis Models | Financial Analysis Cash Flow | Financial Analysis of Company | TEC Financial Analysis Performance | Whats is a Financial Analysis | BI Read More
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data analysis techniques  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More
A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help

data analysis techniques  Guide to Intelligent Data Auditing Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision. 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

data analysis techniques  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
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

data analysis techniques  increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More

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