On Demand
As big data continues to grow bigger and become more diverse and more real-time, forward-looking organizations are looking to manage and analyze this data using advanced analytics in an environment that might include multiple approaches and technologies. For real-time streaming data this could include utilizing technologies that support in-memory processing, where data and mathematical computations are performed in RAM rather than on disk, enabling processing thousands of times faster than data access from disk.
Fern Halper, Ph.D.
Sponsored by
SAP
A picture can paint a thousand numbers and broaden the appeal of BI tools. A fiercely competitive business environment demands more agility and shorter time to insight. These forces have given rise to visual data discovery tools as a new module in the BI portfolio. Specialty BI vendors are growing rapidly and BI platform vendors have rushed to add visual discovery capabilities to their portfolios.
Cindi Howson
Sponsored by
SAS
Predictive analytics is a powerful technology that is rapidly becoming mainstream. It is being used across industries to understand and predict customer behavior, detect fraud, determine outcomes, and much more. An important trend in the market is the move to make the output from predictive analytics more consumable by end users.
Fern Halper, Ph.D.
Sponsored by
Information Builders
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