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Software Functionality Revealed in Detail
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 predictive analytics tools


Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive

predictive analytics tools  to predictive analytics. Although predictive analytics belongs to the BI family, it is emerging as a distinct new software sector. Analytical tools enable greater transparency, and can find and analyze past and present trends, as well as the hidden nature of data. However, past and present insight and trend information are not enough to be competitive in business. Business organizations need to know more about the future, and in particular, about future trends, patterns, and customer behavior in order to

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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

Software Test Tools

Tools exist to support software testing at all stages of a project. Some vendors offer an integrated suite that will support testing and development throughout a project's life, from gathering requirements to supporting the live system. Some vendors concentrate on a single part of that life cycle. The software test tools knowledge base provides functional criteria you might expect from a testing tool, the infrastructure that supports the tool, and an idea of the market position of the vendor.  

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Documents related to » predictive analytics tools

Predictive Analytics and the Evolution of BI


In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing business intelligence (BI) and analytics faculties are looking to the field of predictive analysis to enhance these capabilities, and in some cases even replace them. But, is predictive analysis really the new BI? Is it a replacement for the

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Using Predictive Analytics within Business Intelligence: A Primer


What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

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The Forrester Wave™: Big Data Predictive Analytics Solutions, Q1 2013


Predictive analytics enables firms to make intelligent decisions, and create differentiated customer experiences. But predictive analytics is hard to do without the right tools and technologies. Here are the findings of Forrester’s 51-criteria evaluation of 10 data predictive analytics solutions. Find out how well each solution fulfills the criteria, where they stand in relation to each other, how delivery professionals select the right one, and more.

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Expanding BI's Role by Including Predictive Analytics


Traditionally, organizations have met their prioritized objectives by using business intelligence (BI) information to make informed decisions. Increasingly, organizations are finding that the benefits of BI can be enhanced when complemented by predictive analysis. See how more insight can be gained, and even better decisions made, by coupling business-relevant information with an easy-to-use predictive analytics solution.

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DataSelf Analytics


DataSelf Analytics is easy to use and quick to deploy. The easy-to-customize solution comes pre-configured with a data warehouse, online analytical processing (OLAP) cubes, in-memory analytics, dashboards, and more than 2,000 reports and key performance indicators (KPIs).

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IBM Cost Buster Solutions for Business Analytics: BA on a Budget


Combine software, hardware, and services with an affordable payment plan to get the business analytics solutions you need while staying within your budget and preserving cash flow.

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Analytics: A Blueprint for Value in Mid-Market Organizations


While most mid-market companies have an analytics foundation designed to handle structured data, few have evolved to more dynamic environments required for big data and a pervasive and prescriptive use of advanced analytics that are essential to survive in a digital world. So, what should mid-market companies do now to improve their capabilities to convert data-driven insights into meaningful results? In this report, we explore how they can tap into their strengths, shore up their weaknesses, and learn from analytics leaders.

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The Case for Business Analytics in Midsize Firms


The reality of business analytics in terms of affordability and accessibility is much different from the perception of many midsize organizations. Read this white paper and accompanying case study for the Cincinnati Zoo to learn more about solutions specifically designed to provide affordable analytics capabilities for midsize businesses.

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Open Analytics Platform


The Open Analytics Platform consolidates data of any size, typically found both inside organizations and in the cloud, creating an analytic experience that is both fast and agile for users, yet protected, managed, and secured for IT.

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Predictions-The Future of HCM Analytics


The world of analytics has shifted emphasis over the past two decades—from looking at the past to looking at the future. Read this article to understand how human resources (HR) predictive analytics works and how you can take advantage of this cutting edge technology, and profit from it.

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