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The Competitive Advantage of Business Intelligence Forecasting and Predictive Analysis
Technology and new business intelligence solutions have made it possible for the average enterprise to leverage complex predictive analysis using simple

it predictive analysis intelligence  intelligence solutions have made it possible for the average enterprise to leverage complex predictive analysis using simple, intuitive tools. Predictive analysis is key to the competitive success of an organization, and the enterprise that is privy to clear and concise product, customer, sales, and market predictions will always have the competitive advantage in its market of choice. Find out how. Read More...
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » it predictive analysis intelligence


Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

it predictive analysis intelligence  technologies and statistics. Hence, it is popular in the science and mathematical fields, but also is also increasingly being used by marketers trying to glean useful consumer data from their web sites. Going one step further, predictive analytics is data mining uses pattern recognition, statistical, and mathematical techniques on large amounts of data to support decision-making by forecasting the outcomes of different scenarios. These programs search databases using techniques such as neural networks Read More...
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?

it predictive analysis intelligence  of a situation occurring. It is the branch of data mining concerned with the prediction of future probabilities and trends. Predictive analytics is used to analyze automatically large amounts of data with different variables, including clustering, decision trees, market basket analysis, regression modeling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and so on. The core element of predictive analytics is the predictor, a variable that can be measured for an Read More...
When Customer Relationships Meets Business Intelligence Marketing Analysis and User Recommendations
For many reasons, SAS's alliance with Amdocs and partnership with Aprimo might be some of a few vendor partnerships where customers and the vendors benefit.

it predictive analysis intelligence  its business model. Currently, it still primarily provides its software on an outdated mainframe licensing model, deriving over half of its revenues from annual license fees that amount to about one-third of the initial licensing cost of its products. This provides SAS with a steady income, but may not be an attractive option for many prospective customers. SAS should consider moving to a more common enterprise software licensing model with annual support costs in the range of 15 percent of license Read More...
Visual Intelligence
SAP HANA is a real-time database platform that streamlines applications, analytics, planning, and predictive and sentiment analysis to help your business

it predictive analysis intelligence  BusinessObjects Explorer solution family. It is a desktop-based visualization and data manipulation solution that allows business users to acquire data from a variety of corporate and personal data sources and manipulate it without any scripting. Users can then analyze this data for insight that can be easily shared. Read More...
CRM: What Is It and Why Do It? Part One: Historical Background
Many consultants, vendors, and analysts today define CRM in terms of being a customer-centric business strategy that is enabled by a set of applications that

it predictive analysis intelligence  What Is It and Why Do It? Part One: Historical Background Historical Background Customer relationship management (CRM), a concept that has been around since the mid 90s, has its roots in the technology of sales automation and call center operations. At that time, it was thought that merging the customer data from the field (sales) with the call center interactions would result in more informed interactions with the customer. The concept resonated with user organizations and soon mergers and Read More...
Lean Business Intelligence: Why and How Enterprises Are Moving To Self-service Business Intelligence
Today’s knowledge workers spend more time sorting though a huge amount of information and less time adding value to it. Enterprises have responded by moving to

it predictive analysis intelligence  time adding value to it. Enterprises have responded by moving to a self-service business intelligence (BI) model. But that often conflicts with efforts to control, secure, centralize, and optimize their BI environments. Learn how you can get the right data now, while maintaining information quality and operational security. Read More...
Making Business Intelligence Easy: Agile Business Intelligence
There is a gap between traditional BI systems and modern business analytics and reporting needs, and agile BI can help bridge that gap. A methodology and

it predictive analysis intelligence  and how to use it to achieve agile development. Read More...
Plant Intelligence as Glue for Dispersed Data?
Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based decision-making. Not only

it predictive analysis intelligence  quality and yield data. It can also analyze information by using business rules to transform raw process data into meaningful KPIs. Data can also be filtered for any noise/outliers; visualized with a context-based navigation and drill-down capabilities; and presented or propagated to determine the factors and root cause disturbances that slow production or impact quality. Ultimately plant-level systems allow decisions to be made that will speed up throughput and increase first-run production. How It Read More...
Why Midsized Organizations Need Business Intelligence
Find out in Why Midsized Organizations Need Business Intelligence.

it predictive analysis intelligence  to improve their operational visibility and decision making. Is your company ready to use the power of BI? Find out in Why Midsized Organizations Need Business Intelligence . This straightforward guide to BI will show you how BI works how to know when your company is primed for a BI solution all the benefits BI can bring to your company what to look for in a BI solution how to evaluate BI vendors Discover the facts behind BI—and how a BI solution can help your company become more agile, efficient, and Read More...
The New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence
Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers

it predictive analysis intelligence  Intelligence Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now. Read More...
Board Management Intelligence Toolkit: Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

it predictive analysis intelligence  Management Intelligence Toolkit: Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to Read More...
Why Business Intelligence Makes Sense for Midsize Companies
Business intelligence—or decision support—allows you to better understand, analyze, and predict what’s occurring within your company. BI turns data from

it predictive analysis intelligence  information and then distributes it to people who need it. Midsize organizations have limited resources, so a BI solution should deliver low cost of ownership through off-the-shelf integration. Read More...
Why Business Intelligence Makes Sense for Midsize Companies: Following the Road Map to Success
Most large enterprises significantly improve their revenue and profitability by deploying business intelligence (BI) technology. But if you are a small or

it predictive analysis intelligence  improve their revenue and profitability by deploying business intelligence (BI) technology. But if you are a small or midsize enterprise (SME) does an investment in BI make sense for you, and how should you deploy the various components of BI technology to achieve success? Read this paper to see how BI can enable your SME organization to grow and profit by leveraging its core strengths. Read More...
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