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Business Intelligence (BI)
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
 

 data mining applications in higher education


Challenges of the Future: The Rebirth of Small Independent Retail in America
By any measure, retailers are overwhelming small businesses. More than 95 percent of all retailers have only one store. Almost 90 percent have sales less than

data mining applications in higher education  power of customer transaction data and make sense of it, delivering the right information for the right purpose at the right moment. Bob Benham (Bob's Bona Fides) described the opportunity: Information technology saves us money and provides more timely management information to make good decisions. The marketing piece is the big opportunity. We are still underdeveloped in mining that data. The real future power of intelligent POS systems can be found more in the customer tracking benefits than in the

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Mining Industry ERP and CMMS RFI/RFP Template

Financials, Human Resources, Manufacturing Management, Process Manufacturing, Inventory Management, Purchasing Management, Quality Management, Sales Management, Project Management, Product Technolo... Get this template

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Business Intelligence (BI)
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...

Documents related to » data mining applications in higher education

Automating Stimulus Fund Reporting


Tracking and reporting stimulus fund spending are difficult tasks for chief information officers (CIOs). The US government’s accountability demands are forcing organizations that are spending American Recovery and Reinvestment Act (ARRA) funds to analyze floods of data. Discover how automated ARRA reporting systems can help you comply with reporting requirements without excessive labor costs or data management headaches.

data mining applications in higher education  processes slowed response times. Data management technologies would not mature enough until after 2000 to allow reliable automated mining of information. By the mid-2000s, analytic technologies finally started catching up. For the first time in history, business intelligence tools began to emerge that enabled automated consolidation, management, and analysis of structured and unstructured data. Today, organizations can collect, track, and measure any type of data regardless of its source - without Read More

PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations


PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor's product plans given these customers might benefit if PeopleSoft shares functions between the product sets.

data mining applications in higher education  need to integrate that data into a single solution. To that end, Enterprise One is the general purpose web-enabled, multi-platform (UNIX and IBM iSeries ) client/server system that is very scaleable and has strength in multi-tier plant environments. PeopleSoft's mid-market customers should demand more details from the product blueprint given that the PeopleSoft EnterpriseOne product is likely its main offering in most vertical industries. Existing users of the IBM iSeries-based PeopleSoft Enterprise Read More

NextGen Health Care: How Technology Can Help Make Consumer-directed Health Care a Reality


Software technologies can provide a single point of entry for prospects and health plan providers to educate new or renewing prospects on the full value of each offering. Behind the scenes, these technologies can also record all prospect preferences to allow sales, marketing, advertising, and product development to benefit from more targeted offerings and personalized messaging, at greatly reduced costs.

data mining applications in higher education  access to all the data they need to make timely and insightful plan recommendations. A signiicant amount of critical data from prospects/customers has not been stored and does not exist to support sales efforts. In addition, data that does exist must be accessed from multiple systems, reformatted, and interpreted. This increases costs to the business through: longer and more dificult sales cycles; multiple data retrieval and entry; and opportunity cost from lost opportunities when best-sales practices Read More

PeopleSoft Building Muscles To Overcome The Rough Patch Part 4: Challenges and User Recommendations


It appears that a real magic bullet to attract smaller enterprises is yet to be produced, although the company has successfully addressed marketing and selling to both large and smaller enterprises. All in all, although on the right track, PeopleSoft has to be careful that it does not overstretch itself and lose focus going forward.

data mining applications in higher education  such as transportation management, data mining/Web analytics, complex discrete and process manufacturing, and/or private trade exchanges (PTX). Additionally, the earlier acquisitions/alliances still represent only improvement rather than complete solution filler. As a summary, while one cannot find flaws in PeopleSoft's recent moves, and while one can rest assured of the company's delivery of its endeavors, it is also not very likely that the stellar 2001 will be repeated in style this year 2002 will Read More

In-Memory Databases/In-Memory Analytics


The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space.

data mining applications in higher education  for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space. Read More

ATG Commerce Applications


PDG Group Model 821

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MSI Data




data mining applications in higher education  Data Read More

In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

data mining applications in higher education  run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization. Read More

Metadata Standards in the Marketplace - Why Do I Care? (And Where Does Godzilla Fit In?)


Metadata (“data about data”) is essential for data warehousing. Metadata standards allow different products to interact. Without standards, different vendors’ tools cannot work together seamlessly and the customer’s warehousing effort is greatly complicated.

data mining applications in higher education  data ) is essential for data warehousing. In order to populate a database, extract data, or run a report, more is required than simply raw data. The tools involved must also understand the context, or meaning, of the data. This is one of the purposes of metadata. Consider 2.5. This could be an amount in dollars, yen, or euros. It could be a mail stop at a company. It could be the height in meters of a member of the Boston Celtics. Nothing about the number itself can tell you what it means. To interpret 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 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.

data mining applications in higher education  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

Why Demandware Is Out in Front in the Digital Commerce Sector


Whether you call it e-commerce, e-retailing, digital commerce, or something else entirely, there is a veritable revolution going on in the internet commerce space. While consumers continue to seek and expect near-perfection in the digital commerce experience, vendors have been struggling to deliver what should be a seamless experience across channels. Demandware has been particularly assertive

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Blending Transactions and Analytics in a Single In-Memory Platform: Key to the Real-Time Enterprise


This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. Rather than using separate transactional and analytical applications built on separate platforms, a single data management environment for both systems of record and systems of decision would yield numerous benefits. These include real-time data analysis and accelerated decision making, and the potential to transform and innovate the business.

data mining applications in higher education  separate platforms, a single data management environment for both systems of record and systems of decision would yield numerous benefits. These include real-time data analysis and accelerated decision making, and the potential to transform and innovate the business. Read More

The Data Warehouse RFP


If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

data mining applications in higher education  Data Warehouse RFP If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good. Read More

Managing Information in the Enterprise: Perspectives for Business Leaders


Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues.

data mining applications in higher education  Leaders Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues. Read More