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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 analytical techniques definition


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

analytical techniques definition  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.

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Enterprise Marketing Management (EMM)

The Enterprise Marketing Management (EMM) Knowledge Base research helps determine support levels of various systems that help companies market their services or products effectively and efficiently. EMM tools help manage strategic planning and marketing resources (sometimes referred to as marketing resource management or MRM). This KB also covers rule-based techniques, pattern recognition, and other profiling features.  

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Documents related to » analytical techniques definition

Analyse This


Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the question to ask is what's next? We see the answer in a tight integration between Enterprise applications and Analytics.

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Blast Past Manufacturing Bottlenecks with Constraint-based Scheduling


Managing constraints in any manufacturing or service environment can be difficult. But with the right tools, accurate data, and a skilled user, a management team can manage the throughput of its constraints to support the goals of its company.

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A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

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In-Memory Analytics: A Multi-Dimensional Study


The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to random access memory (RAM). With crashing RAM prices and 64-bit addressing, in-memory architecture provides new and innovative solutions for online analytical processing (OLAP). This article looks at why and how in-memory technology transforms analytic applications for BI.

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What Does the “M” in PLM Really Mean?


In the two previous blog posts (What Does the “P” in PLM Really Mean? and What Does the “L” in PLM Really Mean?) I discussed the object being managed within the product lifecycle management (PLM) methodology. Now, it is the time to move on to the last word—“management.” Management is such a general term nowadays, that simply looking at it won’t give you much idea of what it is about in the PLM

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Enterprise Resource Planning Vendor Gains Connectivity through Acquisition of Plant Intelligence Provider


SAP has gained connectivity to virtually any source on the plant floor and analytical functionality through its acquisition of Lighthammer's products for plant intelligence. SAP users in the process of evaluating plant intelligence solutions should seriously consider Lighthammer.

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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 order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection.

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Embedding BI in Enterprise Applications: Magnifying the Analytical Impact


The business world is evolving into one that rewards timely, data-supported decisions as a supplement or replacement for “gut-feel” judgments. The challenge is that most organizations have more data than they know what to do with. For software provider considering the addition of business intelligence (BI) capability and end-users exploring its business value, this brief seeks to investigate and quantify the business impact of embedded BI.

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Employee Onboarding: An HR Technology Seeking a Definition


A commonsense approach to defining an onboarding initiative starts with the company defining its objectives, prioritizing its goals, and carefully evaluating the options. When considering human resources technology specifically designed with the onboarding process in mind, you should focus on the flexibility of the onboarding solution options. Learn more about managing employee onboarding with an automated solution.

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Business Intelligence for the Small to Medium Sized Business (SMB)


The analytical capability once reserved for large enterprises has now permeated the world of small to medium businesses (SMBs), providing visibility into what really matters for these companies. Not surprisingly, there has been a marked uptake in use of business intelligence (BI) solutions in the SMB market over the past year. Follow the road map for SMBs looking to achieve best-in-class performance through BI deployment.

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