Business Intelligence Strategies for the CIOEmail Alerts
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BI front-end tools dominate analytics investment plans
Survey Slide Show
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2011 business intelligence (BI) challenges survey
Survey Slide Show
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Advanced analytics programs focused on budgeting, marketing
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Data analytics software challenges: Tying results to actions
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'Analytics in Action' Virtual Seminar
SearchBusinessAnalytics.com presents a free virtual seminar designed to help participants create an effective analytics and business intelligence strategy. Listen on-demand at your convenience. Virtual Seminar
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Content analysis tools earn chops in research on social media data
Many organizations are discovering that content analysis tools can help validate market research efforts and hone their messages by mining customer-sentiment data available on social networks. Feature
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Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics. Quiz
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'Big data' analytics: Tapping into transactional data -- and more
In this video Q&A series, business intelligence experts and IT vendor executives explain "big data" technologies and use cases and give tips on how to get started with big-data analytics. Video guide
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Increasing operational efficiency still the biggest BI spending driver
Operational efficiency is the top driver of spending on BI, analytics and CPM technology, a survey shows. Find out where other factors rank in influencing BI tools investments. Slide Show
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Predictive analytics, data mining lead new analytics software charge
Predictive analytics, data mining and customer data analytics top the list of analytics technologies that surveyed companies plan to start using. Learn about predictive analytics. Slide Show
- See More: Essential Knowledge on Text analytics and text mining
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Federal government to invest in 'big data' for science, technology R&D
The federal government has announced a $200 million initiative for “big data” research, education and training. News | 30 Mar 2012
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The two sides of Facebook business applications
Facebook has unlimited potential for advertising and targeted marketing, says TechTarget's Wayne Eckerson. But, he adds, it must protect personal data from over-exuberant marketers. Analysis | 20 Mar 2012
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To be unstructured data is to be misunderstood
Mark Madsen questions why people take the wrong approach with unstructured data, abandoning their experiences with demographics and market research. News | 15 Mar 2012
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Startup launches 'temporal analytics' engine to visualize Web
A small startup has developed a “temporal analytics” engine, which sifts 100,000 Web pages an hour, extracting data and associating it to time. But can it also predict the future? News | 20 Feb 2012
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From the Editors: Getting started on a 'big data' analytics program
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling. From the Editors | 31 Jan 2012
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SAS CEO Goodnight on revenue, talent, collaboration and the year ahead
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012. News | 24 Jan 2012
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'Big data' to inspire streamlined analytics programs in '12, IIA predicts
Faculty members from the International Institute for Analytics, a research firm that focuses on how organizations use analytics, weigh in on their predictions for 2012. News | 09 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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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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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
- See More: News on Text analytics and text mining
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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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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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document capture
Document capture is any one of several processes used to convert a physical document to another format, typically a digital representation. Definition
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deep analytics
Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data. Definition
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ad hoc analysis
Ad hoc analysis is the term commonly used in businesses to describe a product (analytical report, statistical analysis or model, or other report or summary of data) produced one time to answer a single, specific business question. Definition
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noisy text
Noisy text is often the result of an end user's excessive use of idiomatic expressions, abbreviations, chat and text acronyms or business-specific lingo. Definition
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named entity
A named entity is a term or phrase that identifies an object from a set of other objects with similar attributes. Definition
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text mining
Text mining is the analysis of data contained in natural language text. Text mining works by transposing words and phrases in unstructured data into numerical values which can then be linked with structured data in a database and analyzed with tradit... Definition
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unstructured data
Unstructured data is a generic label for describing any data that is not in a database. 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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Unlocking and integrating unstructured data, with Bill Inmon
Bill Inmon explains the importance of unstructured data and offers tips for accessing and integrating it. Podcasts
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Federal government to invest in 'big data' for science, technology R&D
The federal government has announced a $200 million initiative for “big data” research, education and training. News
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The two sides of Facebook business applications
Facebook has unlimited potential for advertising and targeted marketing, says TechTarget's Wayne Eckerson. But, he adds, it must protect personal data from over-exuberant marketers. Analysis
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To be unstructured data is to be misunderstood
Mark Madsen questions why people take the wrong approach with unstructured data, abandoning their experiences with demographics and market research. News
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Startup launches 'temporal analytics' engine to visualize Web
A small startup has developed a “temporal analytics” engine, which sifts 100,000 Web pages an hour, extracting data and associating it to time. But can it also predict the future? News
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From the Editors: Getting started on a 'big data' analytics program
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling. From the Editors
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SAS CEO Goodnight on revenue, talent, collaboration and the year ahead
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012. 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
-
'Big data' to inspire streamlined analytics programs in '12, IIA predicts
Faculty members from the International Institute for Analytics, a research firm that focuses on how organizations use analytics, weigh in on their predictions for 2012. News
-
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
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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
- See More: All on Text analytics and text mining
About Text analytics and text mining
Find out how successful organizations use text analytics software and text mining to turn unstructured data into business insight. Read current news and expert articles about advanced text mining for unstructured data analysis, business intelligence and content management. Learn the difference between text mining vs. data mining, check out recent analyst firm text mining research and find out about the latest tools and techniques, including open source text mining. Read text-mining case studies about organizations using software from SAS Institute, SPSS and other vendors for applications such as customer data mining, marketing resource management and retail analysis.