On Demand
Data visualization is hot, but just giving users a library of visual objects will not make them suddenly more productive with data. It is important to match requirements with the right visualization options. Users need data visualization for a variety of business intelligence and analytics activities.
David Stodder
Sponsored by
Tableau Software
TDWI has seen a growing interest in utilizing the cloud for deploying reporting platforms, analytic tools, data warehouses, and other databases—and for good reason. The fluid allocation of resources that is typical of a cloud lends itself to analytic projects, especially those utilizing big data. A number of cloud use cases are emerging.
Fern Halper, Ph.D.
Sponsored by
Teradata
Becoming customer centric is a critical success factor for most organizations. The marketplace rewards those that have the smartest and most responsive customer marketing, sales, service, and engagement. Superior use of data is essential to achieving goals in all of these areas. Leading organizations are separating themselves from the pack by deploying big data analytics, data visualization, analytics platforms, and business intelligence to gain the most insight from customer data generated across all channels, including social media.
David Stodder
Sponsored by
Datawatch, SAS, Teradata, Treasure Data
A growing number of user organizations are under pressure to capture and manage big data, as well as get business value from big data by analyzing it. To achieve these goals, many organizations are extending and revamping their data warehouse (DW) environments. According to TDWI surveys, the new technologies being adopted most by users who are modernizing their DWs include: Hadoop, Data virtualization, and In-memory techniques.
Philip Russom, Ph.D.
Sponsored by
SAP
Data scientists are a new type of analyst—part data engineer, part statistician, and part business analyst. And they're in high demand. Companies are combing through résumés and job websites, interviewing recent university grads, and poaching from their competitors in an effort to bring these new talents into their organizations. Of course, we’ve had statistical analysts in our organizations for years. Unfortunately, although these people are great at analyzing data, they are not always the best at explaining their findings to executives and business workers in understandable terms.
Colin White
Sponsored by
Teradata
There are more than 100 vendors offering social media analytics tools, but the reality is that many of them simply track “buzz”—meaning the volume of tweets, blogs, news items, and other places a brand name or topic might appear in social media during a certain time period.
Fern Halper, Ph.D.
Sponsored by
Information Builders
Self-reliant and less dependent on IT, business executives and departmental/LOB managers and users are deploying the latest tools, services, and applications for business intelligence, analytics, and data discovery. Although IT is hardly disappearing from the picture, IT needs to adjust how it manages access to data sources and governs BI and analytics. Enterprise BI/DW systems also need to accommodate how users customize their BI and analytics as they see fit based on their roles. As BI and analytics tools become easier to use and more flexible, the trend toward business users directing their own BI and analytics experiences will accelerate.
David Stodder
Sponsored by
Actian, Datawatch, Looker, SAS, Tableau Software, Treasure Data