Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant trends and patterns in data that they would have struggled to see in voluminous tabular reports and spreadsheets. As big data volumes grow and organizations seek to integrate diverse and complex information, users’ ability to comprehend information quickly and put it to productive use hinges on data visualization.
Date: July 9, 2013
Time: 9:00AM PT
Sponsored By Adaptive Planning, Advizor Solutions, ESRI, Pentaho, SAS, Tableau Software
No profession is getting more attention these days than that of the “data scientist.” Data scientists have made the covers of business magazines and are practically rock stars at online companies such as Google, Facebook, and LinkedIn.
Sponsored By Teradata
Today’s business and analytics users place high value on timeliness. Reaching decisions quickly—at the speed of thought—depends on two factors: the response speed of the data exploration tooling and the delivery speed of data into the exploration environment. Modern tools deliver these features through in-memory operation on locally stored data and direct access to operational data, respectively. The result is faster turnaround time of decisions based on more timely information.
Sponsored By Tableau Software
New technologies often change market dynamics, making it possible for organizations to address business needs in new and creative ways. Today, open source software, analytic databases, and other new technologies are enabling BI teams to deliver new applications that previously weren't possible in a cost-effective way.
Sponsored By Pentaho, Netezza
Usage rates for BI tools have nudged up from 18 percent three years ago to 24 percent today, according to TDWI Research. This abysmally low percentage accounts for most of an organization’s power users and a handful of very determined casual users. What can you do to make BI more pervasive?
Sponsored By Birst
New technologies often change the rules of the game, making it possible for BI teams to address business needs in new and creative ways. BI teams that understand how to harness the power of the cloud, open source, virtualization, and high-performance analytical databases can create new opportunities to serve the business while saving money and time.
Sponsored By Teradata Aster
We’re blessed in the fields of business intelligence (BI) and data warehousing (DW), in that new technologies and best practices continue to emerge, thereby advancing the state of the art. According to a recent report from TDWI Research, a long list of innovations have arrived recently, and many user organizations are considering how to incorporate these into their next generation of BI solutions and DW platforms. One of the challenges these organizations face is how to adopt technologies and practices that are new to them, while managing the complexity of these and keeping the cost down during the current recession.
Sponsored By Infobright, Jaspersoft
As business conditions change, enterprises need faster time-to-value and shorter deployment cycles for their decision making platforms. Hence the question in IT is shifting from how to build a data warehouse to how to speed delivery of insight and how to meet new requirements without breaking the bank. Although many organizations have collected terabytes of information, most still don’t have a cost-effective infrastructure for transforming this data into actionable insights.
Sponsored By Kickfire, Talend