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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 problem solving  for Data is a predictive analytical tool and can be used to gain new business insights and to harvest valuable business intelligence from enterprise data. Intelligent Miner for Data mines high-volume transaction data generated by point-of-sale, automatic transfer machine (ATM), credit card, call center, or e-commerce activities. It better equips an organization to make insightful decisions, whether the problem is how to develop more precisely targeted marketing campaigns, reduce customer attrition, or Read More

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 or...
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Documents related to » predictive problem solving


Do We Already Know Whether You’re Going To Read This Article?
SLP InfoWare announced a product that can predict which of an ISP’s customers are likely to leave.

predictive problem solving  an initial set of predictive models, designing a set of targeted campaigns and executing these campaigns on a subset of the identified campaign candidates. From this we assess the 'lift' of our modeling and/or the performance of the overall system. This initiates the detailed discussion on pricing. We think that almost all vendors will have to offer a similar pre-sale tryout. Our only caution is that you should continue testing after the sale, perhaps with a test of longer duration than is reasonable in Read More
ToolsGroup-Going Back to Its SCP Roots
What has ToolsGroup, the expert in demand-driven SCP, been doing to address demand and supply variability? Read P.J. Jakovljevic’s article and see how

predictive problem solving  from historic to more predictive analytics in near real-time, cloud & composite apps, sense & respond, social & mobility, etc. (see related blog post ). How is ToolsGroup stacking up along those lines and themes and with what capabilities? JB: Some of those trends, such as mobility, are a bit outside the scope of our applications. We don’t offer a handheld supply chain optimizer yet, but maybe someday. The one I will focus on here is sense & respond, because we offer a unique contribution, taking a Read More
Thinking Radically: Interview with Gary Cokins
One of the things I love about my job is the opportunity I have to speak with great people. In this installment of Thinking Radically, I speak with Gary Cokins,

predictive problem solving  flavors of analytics, especially predictive analytics, the greater the power of BPM. Predictive analytics are important because organizations are shifting from managing by control and reacting to after-the-fact data toward managing with anticipatory planning so they can be proactive and make adjustments before problems arise. JG. In your opinion, what are the basic considerations for deploying BPM approaches? As I just described, many organizations have already begun with basic levels of BPM. Their Read More
Supply Chain Portfolio 2004
Here we are in the New Year. So, what should the going forward picture be of the Supply Chain portfolio? Something old, something new, something from a service

predictive problem solving  current scenarios, but allowing predictive views. They can allow us to create new strategies or mitigate risk 1 . Figure 2. [1] ChainLink will be rolling out Future Forward models on what users are doing now, as well as where they are going to buy to solve. 2004 will be a Year of Investments So, that's interesting, but the word was that the market is still not spending. That's true—on older models. It wants newer models—really! The fact is, we have gone some distance in SCM, but there are still big Read More
Measure, Analyze, and Manage: Optimizing Marketing Results with Business Analytics
By adopting a data-driven approach that incorporates business intelligence (BI), predictive analytics and performance management capabilities, marketing

predictive problem solving  incorporates business intelligence (BI), predictive analytics and performance management capabilities, marketing executives can empower their teams to measure, analyze, and manage marketing efforts for greater effectiveness and contribution to top line revenue growth. These advanced analytics techniques help marketers harness all of their data, detect patterns of customer behavior, and acquire a deeper understanding of customers as individuals — ultimately leading to new methods of personalized Read More
Addressing a Growing Problem: An Explosion of IP Addresses
Given today’s economic climate, companies are looking to create more value by reducing risk and saving costs. As companies increasingly rely on data networks

predictive problem solving   Read More
Angoss
Angoss is a global leader in delivering business intelligence software and predictive analytics solutions that help businesses capitalize on their data by

predictive problem solving  business intelligence software and predictive analytics solutions that help businesses capitalize on their data by uncovering new opportunities to increase sales and profitability and to reduce risk. Read More
10 Tips for Building a Real-time Weight Control System
It can be a real problem keeping prices competitive when manufacturing costs are soaring. Over-pack and giveaway can be a huge drain on company profits. However

predictive problem solving  Tips for Building a Real-time Weight Control System It can be a real problem keeping prices competitive when manufacturing costs are soaring. Over-pack and giveaway can be a huge drain on company profits. However, real-time weight control software can pay tremendous dividends if implemented properly. Integrating a weight control database into an existing system can reduce errors, “fool-proof” data collection, and shift the system from reactive to proactive. Read More
Quiterian Analytics
Quiterian Analytics is based on Advanced Analytics and Predictive Analysis techniques. The platform is known for providing an intuitive, simple and user

predictive problem solving  on Advanced Analytics and Predictive Analysis techniques. The platform is known for providing an intuitive, simple and user-friendly ecosystem. Any business user can make use of it, with no need of being an expert mathematician or statistician, and with no dependence on the IT department. Quiterian Analytics is the the best complement of traditional BI systems. Read More
Software Integration
Most financial offices run at least three separate industry-specific software packages@often from different vendors. The problem with having all of these

predictive problem solving  Integration Most financial offices run at least three separate industry-specific software packages—often from different vendors. The problem with having all of these different solutions is that most of them require their own databases and do not integrate very well with each other. Document management systems (DMSs) are becoming popular with financial advisors, as they help organize the office and provide risk management. Learn more. Read More
Unified Business Performance Management and the Application of Predictive Analytics
As companies demand more from their decision support systems, unified business performance management (BPM) will play an increasingly important role in planning

predictive problem solving  and the Application of Predictive Analytics As companies demand more from their decision support systems, unified business performance management (BPM) will play an increasingly important role in planning and decision-making. Thus, predictive analytics, applied with BPM, bridges the gap between real-time activity monitoring and calculated execution. Before embracing predictive analytics, however, companies should know that only a unified solution can help capitalize on this promising technology. Read More
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

predictive problem solving  Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. 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

predictive problem solving  applications, analytics, planning, and predictive and sentiment analysis to help your business operate in real time.SAP Visual Intelligence is part of the SAP 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
The Next Big Thing or Integration-The Interaction Server Part 1: Background and Evolving Problem
Software Technology evolves in phases. The fundamental assumptions of the current era change dramatically, rendering existing solutions inadequate. This creates

predictive problem solving  Next Big Thing or Integration-The Interaction Server Part 1: Background and Evolving Problem The Evolution of Software Technology Like all life forms, Software Technology evolves in phases. Each new phase, or era, begins when the fundamental assumptions of the current era change dramatically, rendering existing solutions inadequate. This creates an inflection point , where new assumptions are the catalyst for innovation, and new solutions are the end result. From file systems to databases, from dumb Read More

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