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Usage, implementation top list of analytics technology challenges
Usage and implementation issues top the list of analytics technology challenges, based on a survey. Learn about other challenges and get resources on analytics tools and software. Slide Show
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Financial planning a big motivator for advanced analytics adoption
What’s the leading driver of advanced analytics adoption? Financial planning, according to a recent survey. Find out what else motivates companies to adopt analytics technology. Slide Show
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Creating an advanced data analytics business culture: Tips and advice
Data analytics can help drive better business decisions, according to users and analysts. But creating an analytics business culture usually requires high-level executive support. News
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Business intelligence, CPM and analytics guides and tutorials
These BI, CPM and analytics learning guides and tutorials can help users optimize their use of their BI software CPM applications and analytics tools and technologies. Tutorial List
- See More: Essential Knowledge on Customer analytics
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Telecoms lead pack in use of BI tools, analytics
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks. News | 16 Jan 2012
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Building predictive models requires business engagement, mix of skills
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants. News | 10 Jan 2012
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Biggest business intelligence 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 | 04 Jan 2012
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Skills shortage, training present pitfalls for 'big data' analytics
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals. News | 01 Jan 2012
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Best practices for 'big data' analytics rely on familiar disciplines
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts. News | 30 Dec 2011
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From the Editors: Looking back, looking ahead on advanced analytics
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game. From the Editors | 22 Dec 2011
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Q&A: Lack of trust in predictive analytics models can snarl projects
In an interview, predictive analytics consultant Eric Siegel offers advice on building organizational trust in the findings of predictive models -- and warns how the process can go wrong. Q&A | 16 Dec 2011
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LinkShare explains why it dumped DB2 for the Exadata database machine
LinkShare’s BI director says the need for scalability was a key factor in moving the affiliate marketing company’s data warehouse to Oracle Exadata. Q&A | 15 Dec 2011
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It’s a schizophrenic time for Web analytics tools, research shows
The onslaught of social media and mobile devices is thrusting Web analytics into a situation somewhere between maturity and evolution, according to a new report. News | 15 Dec 2011
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Crafting analytical models
Model-making is at the heart of advanced analytics, says TechTarget's Wayne Eckerson. And BI pros need to understand the process so they can support the data needs of analytical modelers. News | 14 Dec 2011
- 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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big data analytics
Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information. Definition
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social media analytics
Social media analytics is the practice of gathering data from blogs and social media websites, such as Twitter, Facebook, Digg and Delicious, and analysing that data to inform business decisions. The most common use of social media analytics is gaugi... Definition
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association rules (in data mining)
Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a transactional database, relational database or other information repository. Definition
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customer intelligence (CI)
Customer intelligence (CI) is information derived from customer data that an organization collects from both internal and external sources. Definition
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Google Analytics
Google Analytics is a free Web analytics service that provides statistics and basic analytical tools for search engine optimization (SEO) and marketing purposes. The service is available to anyone with a Google account. Definition
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customer analytics (customer data analytics)
Customer analytics, also called customer data analytics, is the systematic examination of a company's customer information to identify, attract and retain the most profitable customers. Definition
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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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Telecoms lead pack in use of BI tools, analytics
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks. News
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Building predictive models requires business engagement, mix of skills
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants. News
-
big data analytics
Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information. Definition
-
Biggest business intelligence 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
-
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
-
Skills shortage, training present pitfalls for 'big data' analytics
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals. News
-
Best practices for 'big data' analytics rely on familiar disciplines
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts. News
-
From the Editors: Looking back, looking ahead on advanced analytics
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game. From the Editors
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2011 business intelligence (BI) challenges survey
Survey Slide Show
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Advanced analytics programs focused on budgeting, marketing
Survey Slide Show
- 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.