EGUIDE:
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
EGUIDE:
In this e-guide, read more about what organisations in Asia-Pacific are doing to sharpen their data analytics strategies to cope with business demands in a challenging economic climate.
EGUIDE:
Business intelligence and predictive analytics have the potential to revolutionize the way CIOs make decisions and align IT with business goals. By collecting valuable data, CIOs can promote innovative change. Inside this exclusive e-guide, learn how New York City Housing Authority’s CIO used BI and predictive analytics to do just that.
sponsored by HP and CenturyLink Technology Solutions
EGUIDE:
SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.
PRESENTATION TRANSCRIPT:
In today's economic environment, it is imperative that companies begin addressing ways to manage all information assets in an integrated, holistic way. Philip Howard, Research Director for Bloor Research, and Chris Baker, Senior Vice President at Oracle, discuss best practices for obtaining a fully integrated Enterprise Data Management platform.
VIDEO:
How do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.
EGUIDE:
In this e-guide, gain essential knowledge of recent developments around IT services. Read on to learn why success entails more than delivering snazzy services, and why enterprise architects are working to bring SOA and master data management (MDM) efforts together.
WHITE PAPER:
Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
