Business Intelligence Strategies for the CIOEmail Alerts
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BI projects play key role in improving business and IT alignment
In the lead article in this issue of BI Trends + Strategies, consultant and BeyeNETWORK expert Claudia Imhoff offers advice on how to bridge the divide between IT and the business on projects such as business intelligence and data warehousing ... E-Zine
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Seeking treasure from social media tracking? Follow the customer
Social media analytics tools can help companies dig into layers of online customer data in search of business gold. But a human touch is needed, too. Feature
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New business trending topic: Monitoring social media, analyzing data
Companies seeking customer insights are rushing to deploy social media monitoring and analytics tools. But first, make sure you know what to expect. From the Editors
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Mind the gap: Better IT-business alignment needed
Everyone talks about bringing IT and the business side closer together. Maybe next year is the time to make progress on that in your organization. Feature
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For unwary users, social media data analysis can be an unfriendly task
Organizations must take into account various obstacles when implementing social media analytics plans to ensure that they provide business value. Feature
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Using social media monitoring tools starts with business connections
Companies implementing social media analytics programs need to keep the big picture in mind and tie the efforts directly to their business strategies. Feature
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Social media analytics software pulls useful info out of online muddle
Companies can use social media analytics tools to distill business insights from the abundance of data on social networks. That's the goal, at least. Feature
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Expedia promotes enterprise data strategy for growth, agility
Joe Megibow shares how Expedia Inc. uses enterprise data to uncover mistakes and make decisions that help build a stronger business. Feature
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Expedia's focus on customer intelligence turns clicks into dollars
Expedia drills into its data and finds four ways to better serve its customers and build a stronger site with customer intelligence data. Feature
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Social media analytics tools offer customer insights, but care needed
While analyzing social media data can yield valuable information, consultants caution that the process is still a complex and inexact science. Analysis & Advice
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Quiz: Managing 'big data' applications, systems and usage
After listening to Mark Smith's BI University webcasts, test yourself to see how well you've retained his key points and recommendations about effective management and use of "big data." Quiz
- See more Essential Knowledge on Customer analytics
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Enterprise Data World reveals nine principles of analytics rock stars
In a presentation at Enterprise Data World 2013, consultant Bernard Wehbe detailed what sets indispensable analytics professionals apart from the rest of the crowd. Intelligence File | 02 May 2013
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Marketing company uses in-database analytics to fight customer churn
Trident Marketing is running analytical models on a data warehouse appliance to help keep consumers hooked on satellite TV service and other products. User story | 25 Apr 2013
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SAS report offers Rx for companies lacking in analytical capabilities
Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute. Intelligence File | 05 Apr 2013
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Data management platform adds analytics for digital marketers
Data management platform Crowd Control puts more analytics power into the hands of digital marketers and media buyers. News | 07 Mar 2013
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Predictive analytics adoption triples, says Accenture
Chief data officers are rising to the leadership of business analytics programmes more quickly than expected data analytics | 05 Mar 2013
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German retailer Otto invests in neural software to net future sales
German retail giant Otto improves demand forecasting with neural network technology from Blue Yonder, a predictive analytics start-up Case study | 09 Nov 2012
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Financial services takes big data beyond pilot stage
Survey reveals financial services is embracing big data, with more than half of the respondents claiming to have a big data strategy News | 05 Nov 2012
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West Midlands Police develops golden view of criminals, suspects
West Midlands Police, the second largest force in the UK, seeks to reduce risk to its officers and the public by using DataFlux software that gives a master record for criminals and suspects Case study | 01 Nov 2012
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IBM executives, customers share 'big data' tips at Information on Demand
An IBM VP and a user from Sprint took to the stage at the vendor's Information on Demand conference to offer advice on how to make sense of big data. News | 24 Oct 2012
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Advanced analytics skills shortage stymies big data programmes
A “critical” advanced analytics skills shortage is impeding big data programmes, research finds IT skills | 17 Oct 2012
- See more News on Customer analytics
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Improve customer data analytics: Tips for using metrics, technologies
Get expert tips for leveraging customer data analytics, and read some examples of common mistakes that companies have made, including a analytics case study. Guide
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Expert advice for developing a customer data analytics program
Find out what it takes to develop an effective customer data analytics program with expert advice on how to structure resources to achieve the best results. Guide
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Customer data analytics best practices from top performers
Find out the best practices in customer data analytics employed by top-performing companies, and get advice on effectively leveraging analytics for improved customer experience and the bottom line. Guide
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Exploiting the value of customer data with analytics
Find out how customer data analytics helps organizations improve customer experience, service and sales – and learn more about what’s possible with customer data analytics today. Guide
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What is social media analytics software, and what does it do?
Learn the basics of what social media analytics software is and how it and text analytics can benefit companies. Get a definition of and use case for social media analytics. Answer
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Customer data you should collect for your customer analytics program
Every piece of customer data you can collect is potentially important to your customer analytics program, according to customer data analytics expert Richard Snow. Find out why. Answer
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Analytics and integration software for collecting customer data
If you’re collecting customer data for analysis, learn about options such as data integration technology and third-party systems for collecting customer data from external sources. Answer
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Is your company primed for social media analytics?
Are some companies primed to get more use out of social media analytics than others are? Find out, plus learn how a social media analytics strategy compares to BI strategies. Answer
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What are the top business intelligence software tools for SMBs?
Get expert advice on finding the top business intelligence software for small and -to-medium-sized companies. Plus, learn the best way to choose an analytics or BI SMB tool. Answer
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Developing a retail customer analytics strategy and plan
Learn how to develop a retail customer analytics strategy and plan with tips from our customer analytics expert. Learn about identifying data sources and measuring performance metrics. Answer
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Who should own customer analytics for best results?
What department or group should own customer analytics for best results? Get an expert’s take on customer data analytics ownership and find out who needs to take part in the ownership for success. Answer
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polynomial interpolation
Polynomial interpolation is a method of estimating values between known data points. When graphical data contains a gap, but data is available on either side of the gap or at a few specific points within the gap, an estimate of values within the gap ... Definition
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longitudinal study
A longitudinal study is an observational research method in which data is gathered for the same subjects repeatedly over a period of time. Longitudinal research projects can extend over years or even decades. Definition
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correlation coefficient
A correlation coefficient is a statistical measure of the degree to which changes to the value of one variable predict change to the value of another. In positively correlated variables, the value increases or decreases in tandem. In negatively corre... Definition
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negative correlation
A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases. Correlation is expressed on a range from +1 to -1, known as the correlation coefficent. Values below zero express n... Definition
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positive correlation
A positive correlation is a relationship between two variables such that their values increase or decrease together. Correlations are ranked on a scale from +1 to -1. In a perfect positive correlation, ranked as +1, an increase or decrease in one var... Definition
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causation
Causation, or causality, is the capacity of one variable to influence another. The first variable may bring the second into existence or may cause the incidence of the second variable to fluctuate. Definition
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correlation
Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel; a negative correlation indicates ... Definition
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data-driven decision management (DDDM)
Data-driven decision management (DDDM) is an approach to business governance that focuses on gathering data and analyzing it to guide corporate decisions and policies. The data-driven approach is gaining popularity within the enterprise as the amount... Definition
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data-driven disaster
A data-driven disaster is a serious problem caused by one or more ineffective data analysis processes. Definition
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skewness
Skewness is asymmetry in a statistical distribution, in which the curve appears distorted or skewed either to the left or to the right. Skewness can be quantified to define the extent to which a distribution differs from a normal distribution. Definition
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Tyagi: 'Big data' technology a solution in search of right problems
Not every data problem requires "big data" technology, says consultant Vineet Tyagi. In a video Q&A, he discusses good uses for big data tools and offers tips on managing a big data project. Video
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'Big data' analytics, mobile BI apps help U.S. Xpress truck more data
In a video Q&A, Timothy Leonard of U.S. Xpress explains how the trucking company uses big data analytics, real-time BI software and mobile BI apps in unison to make important business decisions. Video
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Eckerson: 'Big data' analytics weighs a mix of the old and new
In a video interview, business intelligence analyst Wayne Eckerson offers tips on using big data analytics software and related big data technology. He also gives his view of what big data really is. Video
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Top five biggest business intelligence (BI) software stories of 2011
From the explosion of "big data" analytics to data quality issues plaguing business intelligence (BI) programs to data mining privacy concerns, there was no shortage of must-read BI stories in 2011. Photo Story
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Why you should keep your 'big data' technology small -- for now
In a video interview at the Strata Conference 2011, Forrester Research analyst James Kobielus explains why it’s important for companies with big-data installations to optimize their storage systems. Video
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An introduction to today’s advanced data analytics technology options
Get an overview of advanced data analytics software, including a discussion of the potential uses of analytic technology and advice on creating an advanced analytics strategy. Podcast
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Enterprise Data World reveals nine principles of analytics rock stars
In a presentation at Enterprise Data World 2013, consultant Bernard Wehbe detailed what sets indispensable analytics professionals apart from the rest of the crowd. Intelligence File
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polynomial interpolation
Polynomial interpolation is a method of estimating values between known data points. When graphical data contains a gap, but data is available on either side of the gap or at a few specific points within the gap, an estimate of values within the gap ... Definition
-
Marketing company uses in-database analytics to fight customer churn
Trident Marketing is running analytical models on a data warehouse appliance to help keep consumers hooked on satellite TV service and other products. User story
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Seeking treasure from social media tracking? Follow the customer
Social media analytics tools can help companies dig into layers of online customer data in search of business gold. But a human touch is needed, too. Feature
-
SAS report offers Rx for companies lacking in analytical capabilities
Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute. Intelligence File
-
Data management platform adds analytics for digital marketers
Data management platform Crowd Control puts more analytics power into the hands of digital marketers and media buyers. News
-
Predictive analytics adoption triples, says Accenture
Chief data officers are rising to the leadership of business analytics programmes more quickly than expected data analytics
-
longitudinal study
A longitudinal study is an observational research method in which data is gathered for the same subjects repeatedly over a period of time. Longitudinal research projects can extend over years or even decades. Definition
-
correlation coefficient
A correlation coefficient is a statistical measure of the degree to which changes to the value of one variable predict change to the value of another. In positively correlated variables, the value increases or decreases in tandem. In negatively corre... Definition
-
negative correlation
A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases. Correlation is expressed on a range from +1 to -1, known as the correlation coefficent. Values below zero express n... Definition
- See more All on Customer analytics
About Customer analytics
Organizations can gain invaluable insight and information about customer behavior via customer analytics and the use of customer analytics software. Learn about tools and techniques for customer data analysis and customer data mining, including customer profitability and segmentation analysis, customer retention analysis and analysis of customer satisfaction data. Also, get up to date on customer churn analysis methodologies that can help reduce customer churn, such as churn modeling and analytics and churn data mining. Read news stories and case studies on technologies for analyzing customer data, and get tips and advice from business intelligence experts on deploying and managing customer data analytics systems.