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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 Text analytics and text mining
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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
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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
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Part V - Tricks and Tips for Starting an Advanced Analytics Practice
The hardest part of an advanced analytics project is getting started, says TechTarget's Wayne Eckerson. This BeyeNetwork.com article shows how to kick-start an initiative and rev it into high gear. Blog | 28 Nov 2011
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From the Editors: Advice to help conquer your 'big data' challenges
"Big data" is creating new questions and challenges for IT and data management pros. We're here to help, with articles offering expert advice on big-data management best practices and pitfalls. From the Editor | 16 Nov 2011
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From the Editors: Can a data scientist save your 'big data' project?
Collecting "big data" is easy; analyzing it can cause headaches. But some companies are turning to an emerging position, the data scientist, to help them sift through their heaps of data. From the Editor | 09 Nov 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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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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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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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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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' 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
-
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
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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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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
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Data analytics software challenges: Tying results to actions
Survey Slide Show
- 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.