Many end-user organizations are currently commencing or expanding solutions for big data and big data analytics. These organizations want to understand how to approach big data and where they stand relative to other companies, especially their competitors. In late October 2013, TDWI launched its Big Data Maturity Model Assessment Tool, which can help to guide IT and business professionals on their big data journey. The assessment looks at companies across five dimensions that impact maturity, including organization, infrastructure, data management, analytics, and governance.
Fern Halper, Krish Krishnan
Sponsored By Cloudera, IBM, MarkLogic, Pentaho
Agility is a critical success factor for today’s enterprises. Agility is about being flexible and responsive to change, from the rapid shift in business conditions to new customer preferences. Business intelligence, analytics, and data warehousing projects must also show flexibility and deliver value sooner. In this Webinar, we highlight the upcoming TDWI World Conference and BI Executive Summit (August 18–23) in San Diego, and discuss recent agile-related research and best practices, as well as case studies and courses in analytics, BI essentials, and data analysis and design.
Sponsored By TDWI
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.
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