Enterprise Services Blog
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Organizations don’t plan to fail, but fail to plan – the power of strategy

DiscLV2014_EBC_loc_Image_Wht_RGB_72.pngHP Discover speaker, Thomas Ruske, sat down with us to talk about his upcoming session on Information Governance, and how well-governed information often provides the competitive edge that separates success from failure.

 

Fellow speaker, Tod Chapman, also took the time to discuss his session on making sense of your Big Data with Vertica-as-a-Service. Tod explores how this service model can help organizations take control and extract value from there information.

 

Read on to find out more about these upcoming HP Discover sessions you won’t want to miss.

Finding shelf space in emerging markets

iStock_000022003569Small.pngIn the New Style of IT, technology is enabling markets to mature at an alarming rate. But the majority of developing countries continue to move products through traditional retail outlets—including corner convenience stores and mom-and-pop shops.

 

For many manufacturers of Consumer Packaged Goods (CPGs) the challenge becomes getting their products on these shelves. It’s not feasible for CPGs to ship in small quantities, and it’s challenging for both manufacturers and retailers to have to deal with several, often disparate distributors.

 

For HP Expert Tony Galli, client principal in the HP Industry Consulting Services organization, the answer lies in developing a Distributor Management Framework.   

Helping governments view the big picture

Military_big_data_monitoring.jpgWhat are you doing to address the challenge of data explosion? Do you have access to 100% of your enterprise’s structured and unstructured data? Can it be analyzed? Data is growing exponentially and “unstructured” data constitutes the majority of the rapidly increasing information.

 

Those are some of the questions that HP expert Diana Zavala, director of Information Management and Analytics for the Public Sector, says that public sector enterprises should be asking themselves to extract deeper meaning and insight from their data. She addresses the issues associated with meaning-based computing in the current issue of On the Front Lines magazine.

What do you mean big data, little data is hard enough?

IM&A.jpgLately there is a lot of talk about “big data.” So I decided to attend a session at HP Discover called “Harnessing Big Data” to learn what this is all about. 

 

I quickly learned that there are four main dimensions of big data:

  • Volume
  • Velocity
  • Variety
  • Complexity
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