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Software Functionality Revealed in Detail
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 data visualization market


3 Big Trends in Data Visualization
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.Data

data visualization market  Big Trends in Data Visualization The greatest value of a picture is when it forces us to notice what we never expected to see. —John W. Tukey. Exploratory Data Analysis . 1977. Data visualization is core to business intelligence (BI), as it’s the means by which data is communicated to the user. Results, alerts suggestions, or even more controlled guidance—all of these elements are passed through the data visualization function of a BI application. No matter how much importance software providers

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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

Business Performance Management (BPM) RFI/RFP Template

Data Visualization, Analytics, Workflow, Data Integration, Support, System Requirements 

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Documents related to » data visualization market

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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A Simplified Approach to Powerful, Flexible Data Visualization


Corda's CenterView™ enterprise performance dashboards allow users and software partners to use Corda's dashboards to create the presentation layer of analytics, and to help organizations present and achieve their business goals across the organization.

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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.



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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.

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Computer Associates Splashes Into the Data Warehousing Market with Platinum Technology Acquisition


Computer Associates DecisionBase is an Extract/Transform/Load tool designed to help in the population and maintenance of data warehouses. First released in March of 1998, the product is geared towards large implementations with the need for metadata management. The current release is 1.9, which is the fourth release of the product.

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Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution


There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Examples Of How Some Mid-Market Vendors Might Remain Within The Future Three (Dozen)? Part Three: Made2Manage Market Impact and User Recommendations


Smaller manufacturing enterprises are often more comfortable dealing with a vendor of a size and corporate culture similar to theirs. Examples of these markets can be e.g., fresh meats, dairy producers, Tier 2/3 automotive suppliers, etc. Some of these thriving Boutique Vendors will actually be conglomerates of smaller divisions or vendors with a common owner. These might even be a current mid-range vendor who specializes in a series of smaller markets or even a sub-segment of a Big Five vendor

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Improving Business Integration for a Competitive Advantage in the Mid-market


Mid-market companies can level the competitive playing field by using business integration technology. Integrated processes reduce costs by decreasing data entry errors, improving supply chain responsiveness, and increasing inventory accuracy—not to mention eliminating document processing fees and customer charge-backs. But how can mid-market companies leverage the capabilities of "high-end" integration solutions?

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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