Samstag, 19 of April of 2014

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TDWI News and Articles

New report helps enterprises get started with report analysis
Posted: April 15, 2014, 11:15 pm
Users can explore and analyze even massive data sets quickly with new tools and platforms now available.
Posted: April 15, 2014, 9:00 am
From a business perspective, big data it is about competing on analytics and making the entire organization more data driven. We explore two key points organizations seeking to become more data-driven should address.
Posted: April 15, 2014, 9:00 am
Data warehouse automation is more than simply automation of ETL development. It automates the entire data warehousing life cycle from planning, analysis, and design through development and extending into operations, maintenance, and change management. Dave Wells explains the benefits of the technology.
Posted: April 15, 2014, 9:00 am
Like most organizations, you are probably struggling to gather the true requirements of a project. Learn how using the BI Dashboard Formula can foster a higher user adoption rate of your completed application.
Posted: April 15, 2014, 9:00 am
Welcome failure as a source of feedback that leads to success.
Posted: April 8, 2014, 9:00 am
At TDWI's recent Executive Summit in Las Vegas, Nevada, Teradata veteran Dan Graham got downright heretical, at least from the perspective of data management orthodoxy. The problem, Graham argued, is that DBAs tend to be a little bit too conservative, too orthodox. That must and will change, he says.
Posted: April 8, 2014, 9:00 am
Having all the data can't help your company improve its overall operations. To drive and maintain BI adoption, an organization you must understand that change must be managed through three stages in five simple steps.
Posted: April 8, 2014, 9:00 am
If you want to understand data integration in an age of analytic heterogeneity, you must follow the process: process movement, not data or workload movement, is where it's at.
Posted: April 8, 2014, 9:00 am
Report explores trends in data warehouse architectures and discusses how newly available, relevant technologies can be used to leverage new business opportunities for big data.
Posted: April 3, 2014, 11:57 pm
Engaging users directly with business analytics cuts to the chase, saving analysts' time and resulting in quicker answers.
Posted: April 1, 2014, 9:00 am
What is business-driven BI, what technologies are driving it, and which has the most impact on business leaders?
Posted: April 1, 2014, 9:00 am
The evolution TDWI is seeing in data warehouse architectures is due in part to evolving business practices and goals.
Posted: April 1, 2014, 9:00 am
Managing big-picture BI is a challenge that demands clear relationships between business impact and information services. We must actively manage BI in three dimensions that drive business alignment: management, motivation, and measurement.
Posted: April 1, 2014, 9:00 am
The vast majority of predictive analytics projects can be conceptualized as falling into one of four basic types, from which we can creatively combine the benefits of each to enhance our organizational performance.
Posted: March 25, 2014, 8:00 am
In the last part of our series, we examine the business-driven context for BI and the link between the agile development and a business's agility imperative.
Posted: March 25, 2014, 8:00 am
Analytics tools and platforms must evolve to enable the promise of big data, including mining the most from semi-structured data.
Posted: March 25, 2014, 8:00 am
Yellowfin's BI platform has been an analytics powerhouse all along, according to CEO Glen Rabie
Posted: March 25, 2014, 8:00 am
How to change development processes to increase business value and speed information delivery.
Posted: March 18, 2014, 8:00 am
Don't be tempted to start your Hadoop journey by exploring fancy new analytics. Offloading existing ELT workloads could be your ticket to a bright Hadoop future.
Posted: March 18, 2014, 8:00 am
Deleting reports will allow your enterprise to focus on new value instead of maintaining old assets that are rarely used.
Posted: March 18, 2014, 8:00 am
New report explains how enterprises can embrace big data and Hadoop and answers several key questions to help them get started and reap the benefits of these technologies
Posted: March 12, 2014, 11:45 pm
Open source BI solutions have matured; now they offer sound and compelling software for business intelligence, but they may be overlooked in the search for a solution.
Posted: March 11, 2014, 8:00 am
Industry luminary Jill Dyché champions a new, more responsive IT -- enabled by BI and analytics
Posted: March 11, 2014, 8:00 am
How can we deliver BI solutions to our users faster without compromising architecture and quality?
Posted: March 11, 2014, 8:00 am
Problems with the Affordable Care Act website rollout offers lessons that BI professionals can apply to their own project implementations. We offer 10 best practices to help you avoid such problems in your own environment.
Posted: March 11, 2014, 8:00 am
Visual reports are no longer sufficient. Today’s dashboards must deal with big data and short response times.
Posted: March 4, 2014, 8:00 am
If your company sells through a B2B sales force, sooner or later you'll be asked for a price optimization and management solution. Here's how data analytics can help.
Posted: March 4, 2014, 8:00 am
Geospatial data might not be new, but how companies expect to use it -- for example, by tapping geospatial to enrich sales and marketing, risk analysis, and other practices -- certainly is.
Posted: March 4, 2014, 8:00 am
The technology and the practices around predictive analytics are also evolving. Here are four ways predictive analytics is changing.
Posted: March 4, 2014, 8:00 am
How should organizations go about staffing up for big data?
Posted: February 25, 2014, 8:00 am
Two of the biggest buzzwords of the last year: big data and cloud computing. Learn why you should be putting these technologies to work in your environment.
Posted: February 25, 2014, 8:00 am
Big data programs must be implemented with the ethics of privacy in mind. The blueprint isn't complete, but here are four steps you can take today to help your business move in the right direction.
Posted: February 25, 2014, 8:00 am
Posted: February 24, 2014, 10:25 pm
Does your enterprise need a more powerful data warehouse? Industry analyst Claudia Imhoff looks at what's driving the need for next-generation BI and the best practices your enterprise can follow to update your environment.
Posted: February 18, 2014, 8:00 am
A proponent of predictive analytics argues that we're on the cusp of an age of pervasive prediction.
Posted: February 18, 2014, 8:00 am
The common schism between business and IT can be solved with solutions that involve collaboration and cooperation.
Posted: February 18, 2014, 8:00 am
Whatever the actual BI failure rate is, you don’t need to fear it.
Posted: February 18, 2014, 8:00 am
More than half of respondents in a TDWI survey say they're actively using or evaluating predictive analytics (PA) technologies. That's big -- but whether PA ever sees truly pervasive adoption is another matter.
Posted: February 11, 2014, 8:00 am
Both sides are often at fault -- and can lend a hand in healing -- the common rift between business and IT.
Posted: February 11, 2014, 8:00 am
Help ensure success in text analytics by understanding its value and by starting small.
Posted: February 11, 2014, 8:00 am
For the best integration performance for big data challenges, make sure your middleware can leverage in-memory data grid computing, but don't overlook the need for business process management and optimization for the enterprise systems you're integrating.
Posted: February 11, 2014, 8:00 am
Collaborative BI and performance management platform accelerates smart decision making.
Posted: February 5, 2014, 8:00 am
Hadoop's growth spurt has produced growing pains -- which the Hadoop community has worked feverishly to address. These efforts are bearing demonstrable fruit.
Posted: February 4, 2014, 8:00 am
Some companies are hugely successful in using BI, others are not. In a new book, well-known analyst Cindi Howson uses exclusive survey data and case studies to show how companies are deploying state-of-the-art BI for competitive advantage.
Posted: February 4, 2014, 8:00 am
A platform once reserved to academia is quietly taking root in the business world, enabling a new generation of advanced analytics that helps enterprises better predict and understand the needs of their customers.
Posted: February 4, 2014, 8:00 am
One key to analyzing how consumers will spend is affordability data, which includes hundreds of influential variables.
Posted: February 4, 2014, 8:00 am
It's about the design of individual databases, but even more about how all databases in an enterprise relate and interact.
Posted: January 28, 2014, 8:00 am
What trends should data analysts be paying attention to this year? From mobile and cloud to visualization and the Internet of things, the CEO and founder of a firm specializing in analytics gives us his list of the five most important movements to watch.
Posted: January 28, 2014, 8:00 am
Splice Machine exposes a full ANSI SQL query facility for HBase, along with support for indices, database triggers, and other data management essentials. It's ACID-compliant, too.
Posted: January 28, 2014, 8:00 am
With exclusive survey data and case studies, well-known analyst Cindi Howson shows how highly successful companies are deploying BI for competitive advantage.
Posted: January 28, 2014, 8:00 am
Anomaly detection algorithms use machine learning, statistical analysis, and human insight to classify and solve problems hidden within terabytes of data. The challenge: to react and respond to critical events in real time.
Posted: January 21, 2014, 8:00 am
If IDC's forecast pans out, sales of analytic and big data software will be one of the few bright spots in an otherwise slumping global market for enterprise software.
Posted: January 21, 2014, 8:00 am
Is the news of SQL's demise greatly exaggerated or should we be preparing for a post-SQL world?
Posted: January 21, 2014, 8:00 am
Lyndsay Wise of WiseAnalytics explains the connection between two important business intelligence technologies.
Posted: January 21, 2014, 8:00 am
Watson may give a boost to business intelligence solution developers.
Posted: January 21, 2014, 8:00 am
Imagine a world where enterprises won't have to store their growing volumes of data themselves. Imagine the data bank -- where you'll be able to deposit and store data much like commercial banks store money today.
Posted: January 14, 2014, 8:00 am
Mastering the skills of marvelous customer service is a journey. You can guide your team on the journey with in-services based on sound learning principles.
Posted: January 14, 2014, 8:00 am
We explore decision making in the big data world and how humans can be empowered to handle the information overload.
Posted: January 14, 2014, 8:00 am
How will your enterprise handle analytics this year? These five trends are worth watching in the months ahead.
Posted: January 14, 2014, 8:00 am
BI stalwart MicroStrategy has released a free version of its discovery tool Visual Insight, packaged as part of a new standalone BI offering, MicroStrategy Analytics Desktop, taking dead aim at offerings from QlikTech, Spotfire, and Tableau.
Posted: January 14, 2014, 8:00 am
Report examines how organizations are leveraging predictive analytics, the challenges they face, and best practices for maximizing the benefits of predictive analytics.
Posted: January 10, 2014, 11:31 pm
Even in an era of big data, ETL is here to stay. However, we must recognize that Hadoop is forever changing the approach and the economics of data integration.
Posted: January 7, 2014, 8:00 am
Bring Your Own Device (BYOD) promises benefits such as great innovation, better work/life balance, and improved productivity. With employees taking devices outside corporate premises, the consumerization of IT has created security issues in increasing issues on IT to manage and secure devices and data. Vodafone Group Enterprise’s Robert Daniels, the head of management and security, talks about this very issue.
Posted: January 7, 2014, 8:00 am
Technology delivery is no longer the problem, says industry watcher and TDWI faculty member Jill Dyché. Now organizations are examining their organization's structure. Dyché takes a look at what this means for IT's future and why IT must change.
Posted: January 7, 2014, 8:00 am
Hawq, Data Dispatch, and GemFire XD are just a few of the DM-related products Pivotal delivered in 2013 for its Pivotal HD Hadoop distribution.
Posted: January 7, 2014, 8:00 am
To the extent that Hadoop is tapped as an all-purpose landing zone and staging area for enterprise data, it likewise becomes -- by default -- a logical platform for data preparation and transformation.
Posted: December 17, 2013, 8:00 am
With its new Big Data Maturity Model, TDWI serves up an online tool organizations can use to gauge the progress of their big data practices.
Posted: December 17, 2013, 8:00 am
Analyst Mike Schiff looks back at the accuracy of his 2013 predictions and offers a short list of trends to watch in 2014.
Posted: December 17, 2013, 8:00 am
Big data or the data warehouse? Pick the wrong platform for the wrong workload and you could find yourself racking up hundreds of thousands (or even millions) of dollars in extra costs.
Posted: December 17, 2013, 8:00 am
TDWI research director David Stodder looks at a trio of emerging technology trends he believes will have a significant impact on technology implementation.
Posted: December 17, 2013, 8:00 am
New report shows enterprises seven ways geospatial data can be used, from refining sales and marketing efforts to honing risk analysis.
Posted: December 16, 2013, 6:34 pm
It was a year like no other for BI professionals. We highlight a few of the major events and trends of 2013.
Posted: December 15, 2013, 8:00 am
A new TDWI report outlines a best practices approach to big data management.
Posted: December 10, 2013, 8:00 am
Tech leaders at Arizona State University and the University of Arizona explain the rewards of using analytics well.
Posted: December 10, 2013, 8:00 am
Education and critical analysis, according to TDWI World Conference keynote speakers Marc Demarest and Mark Madsen, are the best tools with which to keep vendors honest -- and to combat hypermarketeering.
Posted: December 10, 2013, 8:00 am
Why enterprises need to create agility while managing risk.
Posted: December 10, 2013, 8:00 am
IBM's project Neo is heating up competition in BI search and cloud BI.
Posted: December 10, 2013, 8:00 am
Many companies, large and small alike, are already using some kind of hybrid approach to cloud BI -- even if they don't think they are.
Posted: December 10, 2013, 8:00 am
New Checklist Report helps healthcare providers develop strategies for employing BI, data discovery, and analytics tools and technologies in their environments.
Posted: December 6, 2013, 7:57 pm
Kamran Ashraf, vice president and head of analytics of Visa Europe, discusses why analytics has become today's modern IT buzzword and why such a system must fit the end user employee need and not just IT.
Posted: December 3, 2013, 8:00 am
Leaders at two universities well-known for their work with analytics -- Arizona State University and the University of Arizona – discuss the challenges and opportunities that the use of analytics presents.
Posted: December 3, 2013, 8:00 am
Big data took New York by storm at the annual Strata conference, coincidentally on the anniversary of Super Storm Sandy.
Posted: December 3, 2013, 8:00 am
TDWI's Big Data Maturity Model helps organizations assess their big data readiness and offers best practices for moving along the maturity path. Its co-author, Fern Halper, explains the five major maturity stages.
Posted: December 3, 2013, 8:00 am
Is big data at the center of the future of data warehouses? Is big data valuable or overrated? Jonas Olsson, CEO of Graz, gives us perspective.
Posted: December 3, 2013, 8:00 am
Online assessment and downloadable assessment guide enable organizations to determine the maturity of their big data analytics program; guide offers best practices for moving to the next level.
Posted: November 20, 2013, 6:04 pm
New report explores what organizations require of a modern data warehouse platform to address new and future business and technology requirements.
Posted: November 20, 2013, 12:12 am
Big data issues -- from proper testing to developing accurate models -- can’t be ignored. The Modeling Agency’s Tony Rathburn takes at look at several important big data issues troubling enterprises today.
Posted: November 19, 2013, 8:00 am
What's hype and what's real? What BI shiny objects have attracted our attention -- and perhaps distracted us? Marc Demarest and Mark Madsen explain what's hot and what's not.
Posted: November 19, 2013, 8:00 am
Use these five use cases to spark your thinking about how to combine big data and visualization tools in your enterprise.
Posted: November 19, 2013, 8:00 am
Respect a BI user's routine if you want to successfully change it.
Posted: November 19, 2013, 8:00 am
Learn new facts about your business from a wide range of big data and enterprise data.
Posted: November 19, 2013, 8:00 am
Cindi Howson explains best practices for evaluating (and re-evaluating) your BI tool set and looks at what's cool in BI.
Posted: November 12, 2013, 8:00 am
Rather than worrying about new technologies, organizations should be sweating the small stuff: the bread-and-butter activities such as operational reporting or scorecards that still perplex so many enterprises.
Posted: November 12, 2013, 8:00 am
What do companies do when they need the power of analytics to be increased with decision support architecture from enterprise data? They built business cases. Here are five business components to address in your own business case.
Posted: November 12, 2013, 8:00 am
The traditional relational database is not the only answer to every database application. It's time to gain experience with non-relational (and non-legacy) NoSQL and NewSQL database technologies.
Posted: November 12, 2013, 8:00 am
To explore future possibilities and opportunities that do not currently exist, enterprises must explore the capabilities of simulation.
Posted: November 5, 2013, 8:00 am
We present five important ways to make a BI program more efficient and uncover the greatest opportunities to maximize ROI.
Posted: November 5, 2013, 8:00 am
Think of SaaS newcover Treasure Data as a kind of Hadoop-as-a-service offering, albeit one with an emphasis on data warehousing workloads.
Posted: November 5, 2013, 8:00 am
Report helps organizations make sustainable decisions as they plan their first deployments of HDFS clusters and other Hadoop technologies; discusses 8 best practices with use cases in data warehousing, data integration, and analytics.
Posted: November 1, 2013, 6:36 pm