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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


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...
Multi-enterprise Responsiveness-Can It Ever Be Achieved?
Most manufacturers are now operating in a multi-enterprise, multi-echelon context, and their supply chain processes and supporting IT tools need to accommodate

predictive problem solving  in such situations (see Predictive Analytics—The Future of Business Intelligence ), but to our knowledge, such commercially available solutions for manufacturing and distribution processes do not currently exist. Sales and operations planning (S&OP) also comes to mind as a helping tool. APICS Dictionary defines S&OP as a process to develop tactical plans that provide management the ability to strategically direct its businesses to achieve competitive advantage on a continuous basis by integrating Read More...
How Big Data Helps HR to Maximize Business Performance
Oracle strategists Brian Gaspar and Amanda Hahn explore how big data is being used in human resources (HR) organizations for predictive problem solving and

predictive problem solving  HR big data,predictive HR,predictive problem-solving,Oracle HCM,talent retention 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...
E*Trade Ignores Private Security Warning, But Public Hullaballoo Gets Response
E*Trade was notified about a cookie vulnerability in August, but the correction wasn't made until after the problem became public.

predictive problem solving  Trade Ignores Private Security Warning, But Public Hullaballoo Gets Response E*Trade Ignores Private Security Warning, But Public Hullaballoo Gets Response P. Catz - September 27, 2000 Event Summary In late August computer programmer Jeff Baker discovered scenarios in which cybercriminals could compromise the password security of the users of E*Trade, an online securities trading portal. Mr. Baker reported these scenarios to the Director of System Security, and Manager of Security Threat Analysis at Read More...
Spotfire Analytics
From interactive dashboards and data visualizations to predictive analytics, Spotfire Analytics is an enterprise analytics platform that helps business and

predictive problem solving  and data visualizations to predictive analytics, Spotfire Analytics is an enterprise analytics platform that helps business and technical users quickly get to actionable insight. Spotfire Analytics helps users seize new business opportunities at every level of the organization and evade risks by providing speed and flexibility so data can be visually analyzed quickly, without requiring IT intervention. Read More...
You’re Laying Off Your Best Problem-solvers
Companies initiating layoffs in response to market problems tend to focus on retaining “high-potential” people. Unfortunately, human resources (HR) departments’

predictive problem solving  Laying Off Your Best Problem-solvers Companies initiating layoffs in response to market problems tend to focus on retaining “high-potential” people. Unfortunately, human resources (HR) departments’ definition of “high-potential” often leaves out a company’s best problem solvers. A better approach is to put your most talented employees to work solving the problems facing your company. Find out how to identify your best problem solvers and help them thrive. Read More...
SuperPharm, Ltd.
SuperPharm, a Trinidad-based pharmacy chain, was having a problem with replenishment and risked losing customers. The problem lay in the point of sale (POS) and

predictive problem solving  Ltd. TEC's method of software evaluation enables decision makers to mitigate the risks associated with enterprise software selection, and to calculate the suitability of products in keeping with user requirements and priorities. Source: Technology Evaluation Centers Resources Related to Case Study: SuperPharm, Ltd. : Software Project Management (Wikipedia) Case Study: SuperPharm, Ltd. Software selection project is also known as : Software Selection Project , Software Selection Expert , 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...
The Path to Realization: Predictive Service Execution for Professional Firms
The lifeblood by which executives in professional services organizations (PSO) manage their businesses has traditionally centered on the concept of realization,

predictive problem solving  Path to Realization: Predictive Service Execution for Professional Firms The lifeblood by which executives in professional services organizations (PSO) manage their businesses has traditionally centered on the concept of realization, measured through metrics. Predictive Service Execution enables firms to deliver consistent and timely services while maximizing cash flow, engagement profitability, and customer satisfaction. Read More...
Building Blocks to Evolving Your Predictive Analytic Practice
In any competitive market, leveraging data to understand a customer s next move is essential. Thus, to achieve an advantage in customer marketing, companies

predictive problem solving  Blocks to Evolving Your Predictive Analytic Practice In any competitive market, leveraging data to understand a customer s next move is essential. Thus, to achieve an advantage in customer marketing, companies have invested millions in customer intelligence systems. Despite this investment, many companies still struggle to increase marketing return on investment (ROI). This is due largely to the absence of an effective predictive analytics approach to customer data. Read More...
Predicting the Future of Predictive Analytics
SAP commissioned Loudhouse to conduct primary research among business decision-makers in U.K. and U.S. organizations to understand their attitudes to and

predictive problem solving  the Future of Predictive Analytics SAP commissioned Loudhouse to conduct primary research among business decision-makers in U.K. and U.S. organizations to understand their attitudes to and experiences of predictive analytics, as well as a future view of usage, value, and investment. Read the results of the study in this report. Read More...
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

predictive problem solving  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 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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