X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 analytical research wiki


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

analytical research wiki  with applications for online analytical processing (OLAP). With data stored 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

Read More


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.  

Start Now

Documents related to » analytical research wiki

These Are the Times of CRM Vindication and Validation - Part 1


Some previous TEC blog posts have discussed the benefits (but also the inevitable caveats) of white papers, including the all-too-common vendors’ self-serving marketing fluff and buzzword verbiage, and about their (un)intended audiences. As part of my daily routine of doing research on vendors and their strategies and offerings, I’ve read a ton of white papers in the last

analytical research wiki   Read More

Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

analytical research wiki   Read More

Compliance Exposures in ERP Systems Part 1


This paper examines key issues for CFOs and CEOs in managing ERP systems in the new world of SOX, IFRS, Basle II. While most IT management attention seems to be on document retention, reporting quality, and security, there are broader issues to be considered toward ensuring good governance and compliance with regulations such as Sarbanes-Oxley, IFRS and Basle II.

analytical research wiki   Read More

BI State of the Market Report


IT departments rarely know as much about a business as the business people themselves. But business people rarely take action on numbers alone: they share the information with others, soliciting their feedback and performing external research before taking action. Business users still depend on IT to deliver answers related to the information that they receive. Business intelligence (BI) 2.0—also known as collaborative BI—uses the collective intelligence of the user community to enrich existing information. Learn how business intelligence (BI) 2.0 is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

When the community helps itself, information is turned into actionable information more quickly than when using purely “traditional” methods of community support, such as meetings, phone calls, and e-mail. And when actions are taken more quickly, the entire organization becomes more nimble and ultimately more competitive. This overview discusses how BI 2.0 can provide real benefits within your organization and what product features to look for in a BI solution in order to realize those benefits.

We hope you’ll find this guide a useful tool in determining which BI solution is best suited to your company’s business model and particular needs.


Table of Contents


Executive Overview
Using BI 2.0 to Increase your Competitive Advantage

Case Study
LogiXML Helps to Power its Real-Estate Reporting and Analysis

Thought Leadership
How Smart Marketers Succeed Online

Market Insight
Mashups and Pervasive BI

Report Sponsors
LogiXML

IBM

About TEC



Download the full copy of the TEC 2009 BI Buyer’s Guide for businesses.



Report Preview


Using BI 2.0 to Increase Your Competitive Advantage


Business users know their data better than IT does. They know the meaning of the data, its history, and its relationship with other data. Yet traditional BI solutions have business users referring to IT for assistance with their data. Also, they are forced to work in silos. Sure, they can create their own reports and maybe even share them with other business users, but when it comes to sharing their own knowledge about the data, they have to rely on e-mail, telephone, and face-to-face meetings. By enabling the sharing of data-related knowledge through the BI system itself, business users become more self-sufficient and actions can be taken more quickly.

The raison d’être of BI is to provide business users with information that enables them to take action. Even if business users are self-sufficient when it comes to creating and sharing data, data on its own is rarely sufficient to take action. Identifying an opportunity in the market through numbers alone is not sufficient to justify investment in a new product or geography. Identifying a bottleneck in a business process is not sufficient to justify changes in the business process. Information about a business issue or opportunity is merely a part of the overall “solution domain.” Action is usually only taken after considering a number of factors in addition to the data, such as human knowledge and experience, the economic environment, and the competitive environment.

In this section, we lay out the capabilities to look for in a BI solution—and specific functional requirements needed to support these capabilities—that contribute to the goal of “harnessing collective intelligence.” In general, the more recent entrants into the BI market are paying the most attention to BI 2.0. Some vendors, such as Good Data, have it as a central component of their solution offerings.

The following are key capabilities of BI 2.0:

  • Collaboration
    Business users are able to share information within the user community and create discussion threads relating to the information.


  • Identification of useful information
    Business users can flag information that is likely to be of use to others within the community.


  • Enriching of Information
    Business users can enrich the information through their knowledge and experience in addition to other external information sources in order to explain trends and generally assist other consumers of that information.


The community of “business users” needn’t be restricted to internal users. User collaboration is already mature within the Web space, under the guise of Web 2.0. With Web 2.0, collective intelligence is harnessed through comments on blog posts; contributions to wikis such as Wikipedia; and tagging of content, such as photos on Flickr. BI 2.0 takes these methods and applies them in the BI space by making data the focus of user collaboration.

The following sections take the capabilities above and list the functional requirements that support them. Bear in mind that each of these functional requirements is a business user requirement and not an IT or development requirement.


Download the full copy of the TEC 2009 BI Buyer’s Guide for businesses.

analytical research wiki   Read More

Business Analytics: Nucleus Research Note—How Analytics Makes Midsize Companies More Profitable


When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research.

analytical research wiki   Read More

Technology Evaluation Centers (TEC) Research Shows Efficient Field Service Management (FSM) Pivotal in the Age of the Customer


In today’s market, everything starts and ends with the customer. From this perspective, the service sector must ensure fluidity in its operations to guarantee positive customer experience. Because of this shift in focus from product to customer, field service management (FSM) software has seen unprecedented growth in recent years and is expected to continue to develop.

analytical research wiki   Read More

Research Note: Oracle Business Accelerators


Oracle Business Accelerators are pre-built configurators and guidelines designed to reduce the time, cost, and risk of implementing Oracle applications. When Nucleus analyzed the experiences of customers using Accelerators, analysts found all customers reduced the time to deploy Oracle E-Business Suite, many by more than 50 percent of the time an implementation without Accelerators would have taken. Download the analysis now.

analytical research wiki   Read More

Hypatia Research Group


Hypatia delivers market intelligence, industry benchmarking, best practice, maturity model, and vendor selection research for how businesses use software technology, professional services, and management consulting providers to capture, manage, analyze, and apply customer intelligence to enhance corporate performance and to accelerate growth.

analytical research wiki   Read More

TEC Research Shows Manufacturers Still Biggest ERP Shoppers


Since the 2008 economic crisis hit, many firms have been forced to cut back in order to keep their businesses afloat. Enterprise software spending is one area where cutbacks have been most noticeable. But now that the global economy is starting to rebound and information technology (IT) budgets are unfreezing, companies are evaluating upgrade or replacement enterprise resource planning (ERP

analytical research wiki   Read More

International Institute for Analytics


The International Institute for Analytics (IIA) provides advisory services, annual research subscriptions, analytics research councils, and executive roundtables.

analytical research wiki   Read More