On Demand
Hadoop initially proved its worth as a Spartan but highly scalable data platform for reporting and analytics in Internet firms and similar digital organizations. Its journey is now taking Hadoop into a wider range of industries, use cases, and organizational types. Hadoop is again challenged to prove its worth, this time by satisfying the stringent requirements that traditional IT departments and business units demand of their platforms for enterprise data and business applications.
Philip Russom, Ph.D.
Content Provided by
TDWI, IBM, Actian, Cloudera, Exasol, MapR, MarkLogic, Pentaho, SAS, Talend, Trillium
Enterprise resource planning (ERP) systems have become commonplace at organizations seeking to optimize business performance measures. While ERP promises to streamline business processes, some hurdles must be overcome to optimally leverage data from ERP environments for business intelligence, let alone predictive analytics and operational intelligence. And as many enterprises juggle multiple ERP systems, some of the most critical issues include the pain of integrating non-ERP system data, and the complexity of balancing the ERP environment with reporting and analysis, which results in limited flexibility to make changes and incorporate other BI/analytic tools.
David Loshin
Sponsored by
Teradata
The field of business analytics is changing rapidly as more organizations seek to leverage analytics to operate more efficiently and effectively. New and evolving business analytics solutions enable companies not only to enhance the value of their current data assets, but also to exploit new data originating from websites, social media, hardware sensors, and public and commercial data providers.
Colin White
Sponsored by
Hewlett Packard Enterprise
Analytics is becoming main stream. According to TDWI research, organizations are starting to move past reports and dashboards to address more advanced forms of analytics. These might include discovery analytics, predictive analytics, optimization, text analytics, big data analytics and more. Interest in these technologies is strong.
Fern Halper, Ph.D.
Sponsored by
SAP
Cloud computing, storage, and analytics are becoming more prevalent within organizations. Some businesses still struggle with the ability to trust storing their data externally. To make the right decisions, businesses need to understand the benefits and challenges associated with BI and data warehousing in the cloud.
Lyndsay Wise
Sponsored by
Tableau Software
As the volume and business uses of data continue to expand, there is growing interest in leveraging cloud computing for data warehouse and business analytics projects. Responding to this interest, both established and new vendors are offering cloud-based Hadoop services for blending, managing, and processing large volumes of both traditional and new sources of data.
Colin White
Sponsored by
Altiscale
Organizations of all shapes and sizes today are focused on how they can realize higher value from data. With insights from business intelligence (BI) and analytics, firms can improve customer experiences, make smarter decisions about how to allocate resources, and develop strategies to improve business performance. Technologies and practices for getting the most out of data with BI and analytics are changing rapidly, however, so organizations cannot stand still. You need to stay abreast of the changes.
Fern Halper, Ph.D., David Stodder
Sponsored by
TDWI and IBM Content