Features

Features

• Data visualizations get more advanced -- and more complicated

  With data visualization tools offering more and more functionality, managing projects to visualize data is becoming a bigger challenge for BI teams.  Continue Reading

• Predictive analytics programs need open organizational minds

  Using predictive analytics tools can help companies move forward more intelligently, particularly when they welcome new ideas on business strategies and processes.  Continue Reading

• Mobile business intelligence brings benefits -- and barriers

  Developing and delivering mobile business intelligence applications poses various challenges that can derail a mobile BI strategy if not avoided.  Continue Reading

• Ability to explain analytical results vital to gaining executive buy-in

  They've purchased the analytics tools, but executives may not buy the results, especially if they don't understand what the numbers are saying.  Continue Reading

• Apache Hadoop spurs hopes but creates hardships for analytics users

  Described as cutting edge, hot, niche and hard to use, Hadoop, like all celebrities, has its shining moments and its dismal displays.  Continue Reading

• 'Big data' concept has grown well beyond its diminutive beginnings

  What is "big data" and why is the IT industry talking about it so much? IT pros offer insights into the origins of the popular and much-hyped phrase.  Continue Reading

• App47 selects Loggly over Splunk for log management

  Find out why mobile application management provider App47 chose up-and-comer Loggly over well-known Splunk for its log management needs.  Continue Reading

• NASA uses text analytics to bolster aviation safety

  NASA relies on numeric data to explain what incidents occur, but text data from incident reports and warning signals reveals why they do.  Continue Reading

• 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.  Continue Reading

• Data sandboxes help analysts dig deep into corporate info

  Giving analytics professionals control of small amounts of space in data warehouses lets them experiment with data sets in a managed environment.  Continue Reading

• Riding herd on Excel BI use isn't easy, but it's necessary

  Eradicating the use of Excel in business intelligence applications turned out to be a pipe dream in most organizations. Now the focus is on controlling it -- as best you can.  Continue Reading

• Collaborative business intelligence brings users together on BI

  With users working together on business intelligence processes, organizations can make better decisions. And you don’t need to go all-in to get started.  Continue Reading

• Performance management gap: Goals versus realities

  Successful performance management initiatives involve more than purchasing and implementing software. And despite good intentions, there’s a high probability that you’re not getting everything you should from your system.  Continue Reading

• 'Big data' analytics programs require tech savvy, business know-how

  Consultant Rick Sherman details the skill sets and roles that he thinks are vital to the success of "big data" analytics initiatives. Technical skills alone aren't enough, he says.  Continue Reading

• The wrong way: Worst practices in 'big data' analytics programs

  Consultant Rick Sherman details the biggest mistakes to avoid in planning and managing deployments of big data analytics tools, from focusing on the technology to overselling projects.  Continue Reading

• Five first steps to creating an effective 'big data' analytics program

  Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path.  Continue Reading

• 'Big data' analytics projects easier said than done -- but doable

  Putting an effective "big data" analytics plan in place can be a challenging proposition. Consultant Lyndsay Wise offers her advice on what to consider and how to get started.  Continue Reading

• Managing multiple BI tools doesn't have to be so hard

  A multi-tool business intelligence environment may be the norm, but it’s not the ideal. Learn steps you can take to reduce the complexity and increase the effectiveness of your BI installation.  Continue Reading

• Applying agile methods to data warehouse projects

  Agile development processes can take a lot of the pain out of building data warehouses and enable project teams to deliver functionality, and business value, on a rolling basis.  Continue Reading

• 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.  Continue Reading

• The importance and benefits of operational decision making

  In this section of 'Smart (Enough) System', you'll learn the importance of operational decisions and different strategies that influence decision making. You'll also read about key BI terms including business agility, strategic alignment and ...  Continue Reading

• How to make operational decisions and data corporate assets

  In this excerpt, you'll find out why operational decisions matter to businesses and how to turn operational decisions into a corporate asset. You'll also learn about the five characteristics of effective operational decision making and what traits ...  Continue Reading

• Understanding benefits of business intelligence reporting, data mining

  Learn how to evaluate decisions, find trends and answer questions with data mining and business intelligence (BI) reporting. Find out how different management levels can use BI to reach their goals in this excerpt from a BI book.  Continue Reading

• Information and examples on data mining and ethics

  Learn about data mining and ethics and review ethical issues related to data mining, plus find information, data mining examples and sources from the book Data Mining: Know it All.  Continue Reading

• Simple data mining examples and datasets

  See data mining examples, including examples of data mining algorithms and simple datasets, that will help you learn how data mining works and how companies can make data-related decisions based on set rules.  Continue Reading

• What is a data rollup?

  Learn what a data rollup is and read about data rollup macro examples and case studies in this data mining tutorial from the book Data Mining: Know it All.  Continue Reading

• The difference between machine learning and statistics in data mining

  Discover the difference between machine learning and statistics and find out how generalization as search can be a data mining tool. Learn about the bias of the search, including information on language bias, search bias and overfitting-avoidance ...  Continue Reading

• Using data merging and concatenation techniques to integrate data

  Learn two data integration techniques, data merging and concatenation, and see how to combine and merge data sets in this excerpt from the book Data Mining: Know it All.  Continue Reading

• Calculating mode in data mining projects

  Learn tips for data mining, including how to work with data rollup for sums and averages, and learn about calculating mode, the key to event-driven architecture (EDA), in this tutorial from the book Data Mining: Know it All.  Continue Reading

• Data acquisition and integration techniques

  Find data mining methods and techniques including methods for data acquisition and data integration. Learn how to gather from different and types of data sources, plus get tips for data aggregation, rollup, sampling and data partitioning from Data ...  Continue Reading

• Understanding metrics for business process management

  Business processes are controlled by metrics. Learn more about business process management (BPM) and the role of metrics, in this book chapter for IT managers.  Continue Reading

• Business process management and IT process entities

  An IT process entity is a conceptional entity that's not a configuration item (CI). Learn more about process entities and business process management, with consideration of ITSM and ITIL.  Continue Reading

• What is Microsoft PerformancePoint Server 2007?

  Learn about Microsoft PerformancePoint Server 2007, including the basics monitoring, analysis and planning applications.  Continue Reading

• Integrating unstructured text into a structured environment

  Find out how to integrate unstructured text into an unstructured environment and learn 12 common integration issues, in this free chapter excerpt.  Continue Reading

• Managing unstructured data in the organization

  Learn about the challenges of unstructured textual data in the organization and get expert advice from Bill Inmon, in this free chapter download.  Continue Reading

• What is business process management?

  Learn about business process management (BPM) and get definitions of terms related to business process management.  Continue Reading

• Business process management: Basics and demystification

  Get the basics of business process management (BPM) and learn how to evaluate BPM vendor hype, in this free chapter download.  Continue Reading

• Successful business intelligence: The role of BI front-end tools

  Learn about the business intelligence front-end tools that are available to business users -- and how the right BI tool can lead to BI success.  Continue Reading

• Law enforcement data mining and predictive analysis: Techniques and tools

  Learn various data mining techniques -- such as discovery and prediction, and confirmation and discovery -- and read about data mining tools and trends in the law enforcement industry.  Continue Reading

• Law enforcement data mining, predictive analysis: Terms, errors of data mining for violent crime

  Get definitions and explanations of data mining and predictive analysis terms, and learn four data mining errors to avoid in law enforcement -- or any in context.  Continue Reading

• Why are business intelligence professional titles confusing?

  TDWI research has shown that the average individual holds one primary role and three secondary roles. Each of these roles requires distinctive skills and knowledge.  Continue Reading

• Data mining: Three steps to mining unstructured data

  In this free chapter excerpt, learn a three-phase process to make data mining and analyzing unstructured data more streamlined and productive.  Continue Reading

• Customer intelligence: From data to dialogue

  Learn about the business value of customer intelligence and how customer intelligence is critical to building competitive advantage.  Continue Reading

• Introduction to data mining: Association analysis

  This excerpt from Introduction to Data Mining offers a crash course on association analysis -- an effective data mining technique.  Continue Reading

• Enterprise dashboards, design and best practices for IT

  Read this excerpt from Enterprise Dashboards, Design and Best Practices for IT written by Shadan Malik and discover how enterprise dashboards can be both SMART and have an IMPACT.  Continue Reading