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Discrete Manufacturing (ERP)
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...
 

 big data decision support


Complexity, Decision Making, and Big Data
The technology market is giving significant attention to big data and analytics as a way to provide insight for decision support, but how far along is the

big data decision support  Decision Making, and Big Data The technology market is giving significant attention to big data and analytics as a way to provide insight for decision support, but how far along is the adoption of these technologies across manufacturing organizations? This white paper looks at the results of a 2013 survey by Aberdeen examining the analytics and big data activities of manufacturers, Including time-sensitive, complex decision making and decision making challenges and capabilities.

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Firewall RFI/RFP Template

Firewall Type, Decision Engine, Scalability, Network Interfaces, Operating Systems, Routing and Network Protocols, SNMP, NAT, Policy Features, Proxies, Authentication, Logging, Content Filtering, V... Get this template

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Discrete Manufacturing (ERP)
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...

Documents related to » big data decision support

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 view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

big data decision support  and plan carefully.  Think big, but start small. These steps will ensure 100 percent support from all levels of leadership and stakeholders. Note that the careful planning and charting of your program can be definitive in augmenting its chance of success. By addressing a set of small problems first, you can more reliably gauge the scope of your program.  A Final Word I concur with the view of Data Management International —that the needs of business drive the needs for information; together they Read More

The 2008 Handbook of Application Delivery: A Guide to Decision Making


IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on performance. But a number of factors complicate the task of ensuring acceptable application performance, including the lack of visibility into application performance. Learn tips to plan, optimize, manage, and control your application performance and improve delivery.

big data decision support  He said that a big part of the issue is that because of the dynamic content that is associated with Web 2.0 applications, caching is not caching ' it is different for every single application that you work with . As a result, IT organizations need to answer questions such as: When can I cache that data? and How do I keep that cache up to date? He added that the best way to solve the Web 2.0 performance problems is to deploy intelligent tools. The Business Intelligence CTO pointed out that the most Read More

The ASP Decision


The ASP model is the latest in a long line of silver bullets that are supposed to simplify the delivery of technology’s benefits to the business world. This article provides some simple guidelines for determining if you should consider the ASP model along with thoughts on selecting an ASP.

big data decision support  it have and how big are they? How many customers has it lost in the last year and why? What does it see as its competitive advantage? What portion of its infrastructure is internally provided and managed? What portion of its application portfolio is internally developed and managed? Describe its alliances/partners? How are they funded? Question three addresses the key issue. Can The ASP Deliver? Can the ASP deliver the functionality at your required service levels? In order to answer that question you nee Read More

Will SAP HANA’s Big Data Usher SAP into the Intelligent BPM Elite?


SAP recently announced a new intelligent business operations bundle that aims to help organizations infuse big data insights in real time into their processes to work smarter and improve responsiveness to threats and opportunities.

big data decision support  SAP HANA’s Big Data Usher SAP into the Intelligent BPM Elite? SAP recently announced a new intelligent business operations bundle that aims to help organizations infuse big data insights in real time into their processes to work smarter and improve responsiveness to threats and opportunities. The real value of big data only comes when one can embed its insights into business processes and use these insights to make better decisions. Business users all too often lack full visibility into end-to-end Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

big data decision support  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More

Seeing the Big Picture: Better Business Decisions through IT


And you can find out how in the TEC report seeing the big picture: a corporate guide to better decisions through it.

big data decision support  the Big Picture: Better Business Decisions through IT If you've ever had the feeling that you're making decisions without all the necessary information , you're not alone. Nine out of ten corporate executives admit to the same problem.* But if you're an executive at a small or midsized business, what's the solution? You don't have the deep pockets of a big corporation to develop an elaborate IT infrastructure, but you still need an up-to-the-minute, 360-degree view of your operation to make the Read More

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

big data decision support  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

big data decision support  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

big data decision support  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

big data decision support  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More

Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge


With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance BI.

big data decision support  Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence (BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding of how to integrate key information from text-based sources, such as forms, e-mail, blogs, and research into their data warehouse environment to enhance Read More

Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

big data decision support  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More

Latest Developments for a Vendor-neutral Third Party Support and Maintenance Provider


Rimini Street is not trying to be a software vendor. Rather, the third party support and maintenance provider is a focused system implementation and consulting firm that sells its services under service contracts instead of mere break-fix arrangements.

big data decision support  Rimini Street,support and maintenance,enterprise applications,third party providers,support programs,support fees,tax and regulatory updates,upgrades,information technology,IT,enterprise software support,and enterprise resource planning,ERP 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 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 leverage data as an asset.

big data decision support  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