On Demand
More and more, companies are looking to advanced analytics to compete effectively. These analytics include predictive analytics, text analytics, geospatial analytics, big data analytics, and more. As part of this analytics ecosystem, organizations also have to contend with the infrastructure to support the analytics. Appliances, analytics platforms, and unified information architectures have become an important component of this equation. This developing analytics ecosystem can be quite complex.
Fern Halper, Ph.D.
Sponsored by
Actian, Cloudera, Datawatch, Pentaho, SAP, SAS
Modern businesses must be faster, more flexible, and more responsive than ever before. Traditional BI, focused on predefined reports and rear-view queries, will no longer suffice.
Barry Devlin
Sponsored by
SAP
As the value of advanced analytics becomes better-known, many companies face challenges in getting started. A primary challenge is lacking the skill set to make advanced analytics happen. As the market evolves, innovations occurring in software, infrastructure, and organizational practices can open up analytics to new users. These include making analytics easier to use, algorithmic innovations, semantics and analytics, organizational innovation, and the cloud.
Fern Halper, Ph.D.
Sponsored by
TDWI and IBM Content
Hadoop is rapidly moving from prototyping and standalone solutions to an important component of the enterprise IT ecosystem. At the same time, the volume of data being managed by Hadoop systems in support of enterprise data hubs and refineries, as well as analytic applications, is growing rapidly.
Colin White
Sponsored by
MapR, Voltage Security
Organizations today need to manage, analyze, and visualize diverse data sources such as machines, sensors, social media, Web applications, and so on. Fully leveraging granular data from these sources drives insights into customer behavior, business operations, information security, risk management, and competition, which in turn increase growth, efficiency, and competitive success.
Philip Russom, Ph.D.
Sponsored by
Splunk
The real value of a decision-making environment is not in the creation of reports or simple multi-dimensional analytics. It is in the creation and use of the more sophisticated analytics like statistics and data mining. And the way to support these critical capabilities is by extending the traditional data warehouse environment to include data sets in more fluid, less controlled components in addition to the enterprise data warehouse.
Claudia Imhoff, Ph.D.
Sponsored by
Dell EMC
Data and analytics are becoming more important than ever to businesses. However, the popularity of analytics is a double-edged sword when it comes to communicating results. Analytics professionals often fail to present results in a strong context and in a memorable, repeatable form. Some analysts have already turned to storytelling. Although results are often good, it also becomes clear that storytelling with data is both an art and a science. Its mastery improves with guidance.
Fern Halper, Ph.D.
Sponsored by
ClearStory Data, Cloudera