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Documents related to » can cause effect be proven via statistical analysis


BI Analysis in a Nutshell: Lyzasoft » The TEC Blog
and drill-down/summary reports. They can then be exported to other types of formats (e.g., Excel, PDF, etc.), and the solution provides most common graphics and charts capabilities  (bars, columns, lines, and pie charts). Drilling and pivoting functions are also available. It’s also possible to easily create and edit indicators and metrics. Lyza generates metric lineage documentation to audit the overall analysis process. At this point, it’s BI as usual. One of the things that makes Lyza interesting

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: bi, Business Intelligence, Lyza, Lyza Lite, Lyzasoft, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
30-07-2009

Bridging the CRM Analysis Gap
On any given day, your interactions with a few strategic customers will make a huge long-term difference. But which few customers? A new type of analytic application, customer value management (CVM), answers the need to identify, analyze, and predict customer behavior. Using CVM enables companies to shift from campaign-centric to customer-centric analysis, and develop more individualized and profitable customer relationships.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS:
2/7/2007 9:19:00 AM

PCI Compliance Cost Analysis
The Payment Card Industry Data Security Standard (PCI-DSS) was created by credit card companies to protect cardholder data, ensuring that merchants and service providers maintain the highest degree of information security. However, many retailers are still questioning its effectiveness and necessity in light of the high cost of compliance. Read this white paper to find out what this cost really means for your organization.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS:
1/7/2008 5:27:00 PM

Effective Inventory Analysis
Effective Inventory Analysis. Get Data Related to Effective Inventory Analysis. For many distributors, inventory is the largest and perhaps the most important asset. Inventory ties up more money than buildings or equipment, and is often less “liquid.” It is crucial, then, that distributors develop and use a comprehensive set of tools that allows close monitoring of the performance of inventory investments. Read more about simple measurements that can help you maximize your investment in inventory.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: about simple measurements that can help you maximize your investment in inventory. Effective Inventory Analysis style= border-width:0px; />   comments powered by Disqus Related Topics:   Asset Management,   Tracking,   Business Intelligence (BI),   Enterprise Resource Planning (ERP),   Inventory Management,   Supply Chain Event Management,   Inventory Analysis and Planning Source: Microsoft Learn more about Microsoft Readers who downloaded this white paper also read these popular documents! Ext
3/31/2008 11:58:00 AM

EAM versus CMMS: What s Right for Your Company?Part Three: Analysis of IFS and Intentia
Having traditionally done implementations via their product delivery organization, IFS and Intentia also have long exhibited a focus on product quality and customer satisfaction, which manifests into a lasting relationship with each client. However like other enterprise resource planning (ERP) and supply chain management (SCM) software vendors, Intentia and IFS need to string together several quarters of profitability to restore consumer confidence and long-term stability.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: origin or not, one can notice many similarities between Intentia (XSSE: INT B) and IFS AB (XSSE: IFS), in addition to a few differences. Having both been Swedish companies, both exude the domain expert knowledge within the industries of their focus, and both vendors have been congenial and disinclined to exaggerate their capabilities. On the down side, however, these traits are drawbacks in other more flamboyant, marketing-rich markets outside Scandinavia, particularly in the United States, where these
3/17/2004

Network Security Best Practices: Competitive Analysis
Your Challenge: Get Decision Makers' Approval for Network Security Best Practices.Specific, Measurable, Achievable, Relevant and Time-Bound. When it comes to security architecture, choosing a system that’s scalable and applicable to a broad set of security needs is a wise move. New security services for Internet protocol (IP) networks are emerging that enable new levels of scalability and manageability—while remaining completely transparent to the network. By applying this type of system, you build an optimal framework for future security applications.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: Multicast packets. Group members can then exchange IP Multicast packets that are encrypted using IPSec tunnel mode. As needed, the key server may push a re-key message to the group members in order to rotate keys at specified times during the transmission or to de-authorize a particular group member. GDOI Components Cisco has implemented the GDOI’s key server capability in its Cisco 1800, 2800 and 3800 Series ISR and Cisco 7206 VXR and has enabled the Cisco 830 through 7200 VXR/7300 routers to
7/27/2007 1:19:00 PM

Further Analysis: Saturno-TP s Selection of QAD ERP » The TEC Blog
advantages that ERP software can provide; adopting a world-class ERP system would allow managing a company according to global manufacturing standards of the industry. This was exactly the case with Saturno-TP. Being a conveyor supplier for multiple brands such as Renault, Ford, GM-AVTOVAZ, that impose obligations to comply with quality and industry standards such as ISO, Materials Management Operations Guidelines/Logistics Evaluation (MMOG/LE), and many others, to have an ERP system in place that is

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: AIAG, automotive, ERP, ERP selection, industry watch, mmog/le, Odette, QAD, Saturno TP, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
10-04-2013

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 gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: in RAM, OLAP applications can speed the data query and analysis process as well as ease data modeling by applying innovative ways for organizing and storing data. The table below lists some software products that use in-memory technologies for OLAP services.   Product Vendor PowerPivot Microsoft Cognos TM1 IBM Jedox OLAP Accelerator (GPU) Jedox WebFOCUS Visual Discovery Information Builders BIRT Data Objects and BIRT Data Analyzer Actuate Tableau Tableau Software Many products already incorporate
3/20/2012 10:25:00 AM

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 thinkAnalytics’ software to make a difference to its customers?

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: 80% of sales in Canada, the billion dollar company is making a move to establish a larger presence in the U.S. CGI has close ties with Bell Canada through the BCE holding company, which accounts for almost 40% of CGI sales and owns about 45% of CGI. Under the terms of the partnership CGI will deliver consulting services to assist its customers with thinkAnalytics flagship thinkCRA product. thinkCRA is an integrated suite containing four analytical applications thinkCustomer performs customer
9/22/2000

Analysis of Adobe’s Integration of IslandData’s Automated E-mail
Adobe’s support site receives approximately 1.3 million client inquiries per month and has been in need of an automated response system to decrease escalating support costs.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: or retailer s client base can easily go elsewhere on the Internet to conduct their transactions, making an investment in automated communication technology an imperative.
4/5/2000

HyperOffice versus Microsoft Exchange: A Comparative Analysis
Historically, growing companies have been prevented from leveraging communications and collaboration technologies, as many collaboration solutions were crafted with big business—and big budgets—in mind. Compare HyperOffice with Microsoft Exchange to examine how their functionalities can meet your needs, and which collaboration system will cost you more—both in terms of licensing costs and long-term maintenance.

CAN CAUSE EFFECT BE PROVEN VIA STATISTICAL ANALYSIS: examine how their functionalities can meet your needs, and which collaboration system will cost you more—both in terms of licensing costs and long-term maintenance. HyperOffice versus Microsoft Exchange: A Comparative Analysis style= border-width:0px; />   comments powered by Disqus Related Topics:   Information Management and Collaboration,   Collaboration and Groupware,   Decision Making,   Software Selection Source: HyperOffice Learn more about HyperOffice Readers who downloaded this white pa
4/7/2009 10:09:00 AM


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