mining data

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By: Bronto     Published Date: Feb 01, 2018
What you'll learn: Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. What artificial intelligence is offering today and what it could offer years from now. How omnichannel merchants can leverage physical locations as part of their online strategy.
Tags : email, omnichannel, retail, ecommerce
     Bronto
By: SPSS     Published Date: Jun 30, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
Tags : spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics
     SPSS
By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
Tags : spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
     SPSS
By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
Tags : spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics
     SPSS, Inc.
By: SPSS, Inc.     Published Date: Mar 31, 2009
Read how Cabelcom recognized the key to tackling churn and was able to identify the point at which customers become dissatisfied with their service.
Tags : spss, cablecom, customer retention, crm, churn rate, reduce churn, predictive analytics, statistics
     SPSS, Inc.
By: SAS     Published Date: Sep 30, 2014
Stop to think about how and how often your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns. Typically, organizations believe that they are using only a small fraction of it effectively at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
Tags : sas, text analysis visualization, voice of the customer, unstructured text inputs, business technology
     SAS
By: KnowledgeVision     Published Date: Jun 29, 2012
Are you mining your database for gold? In KnowledgeVision's white paper, "The New Alchemy: 3 Tips to Turn PowerPoint into Content Gold", you'll learn how to make your slideshows viewable online, how to add video and audio to your slideshows, and how to make your presentations interactive and engaging.
Tags : knowledgevision, online, digital, web analytics, video, online video, content, powerpoint
     KnowledgeVision
By: Aventail     Published Date: Oct 26, 2007
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
Tags : business intelligence, database, enterprise data warehouse, data mart, data warehouse, data mining, active data warehousing, active data warehouse
     Aventail
By: Objectivity     Published Date: Aug 21, 2009
There is often a great deal of confusion in determining whether an object database management system (ODBMS) is right for you. Most of this confusion can be resolved by focusing on your application's requirements. In those situations where the application requires the very clear advantages of an ODBMS, choosing which ODBMS becomes a continuation of the exercise of analyzing those application requirements.
Tags : database performance, object-oriented, database development, objectivity, software development
     Objectivity
By: Informatica     Published Date: Oct 26, 2007
The goal of pervasive BI applications is to take the data that produced the back office ROI of more than 400% and deliver it to front-line employees in a form appropriate to their job functions – with similar results. There are thousands of business process steps in a typical enterprise where pervasive BI insights can be added. What are leading companies doing with pervasive BI?
Tags : business intelligence, database, enterprise data warehouse, data mart, data warehouse, data mining, active data warehousing, active data warehouse
     Informatica
By: Aconex     Published Date: Jun 24, 2008
It's a common scenario in the mining and oil & gas industries: the project has been approved to proceed and the pressure is on to get multiple parties – partners, consultants, contractors and suppliers – working together efficiently to meet an aggressive schedule. This challenge is often exacerbated by globalization and by the vast volume of data that flows between the project team.
Tags : information management, construction, oil, mining, gas, commodities, energy, aconex
     Aconex
By: IBM Software     Published Date: Oct 24, 2011
Read this in-depth report to find out how 117 executives of successful companies are reducing maintenance costs, downtime and safety incidents.
Tags : ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
     IBM Software
By: Discovery Corps, Inc     Published Date: Jan 11, 2011
Article on how to handle missing values in a dataset during a data mining project
Tags : data mining, missing values, techniques, diagnosis, tips, missing data
     Discovery Corps, Inc
By: Delphix     Published Date: Mar 24, 2015
Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. Explore how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.
Tags : 
     Delphix
By: IBM     Published Date: Jul 20, 2016
Whether it's through using pre- or post-hire assessments, applying managerial feedback or learning results, identifying high potentials is a huge win for determining who will lead your company forward. With such information, businesses can ensure that their most valued employees are promoted, challenged, and encouraged to succeed - and that they stay with your business. Without this data, companies risk losing the talent that keeps them competitive and successful.
Tags : ibm, aberdeen group, talent acquisition, recruitment, human resource technology
     IBM
By: Bluewater Learning     Published Date: Apr 30, 2018
Addressing the frustration that people experience with their LMS or TMS does not necessarily mean going through the involved process of selecting and implementing a new system. Often, it simply requires a realignment of business drivers, supporting processes Bluewater experts will lead you through examining User Experience, Administration, Process, Content, Data, Reporting and Technology.
Tags : 
     Bluewater Learning
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