Blogs

Insight Ops: The road to a collaborative self-service model

Insight Ops: The road to a collaborative self-service model

July 28, 2016 | by Tim Vincent, IBM Fellow and VP, CTO for Information & Analytics Group, IBM
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Unstructured and structured data versus repetitive and non-repetitive data

Unstructured and structured data versus repetitive and non-repetitive data

July 25, 2016 | by W.H. Inmon, Owner, Forest Rim Technology
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Best of all worlds: A hybrid data warehouse approach that delivers cloud-like flexibility

Best of all worlds: A hybrid data warehouse approach that delivers cloud-like flexibility

July 21, 2016 | by Wendy Lucas, Program Director for Data Warehouse Marketing, IBM
The IBM dashDB Local warehouse solution combines a full range of data warehousing capabilities while delivering the levels of flexibility and control associated with the cloud. Begin your own free trial of dashDB Local today to discover how it can help you bring new levels of capability to your...
CIO Insights: The culture of data—Putting data to work for the business

CIO Insights: The culture of data—Putting data to work for the business

July 20, 2016 | by Nancy Hensley, Director of Offering Management, IBM Analytics, IBM
When I spoke with Derek Schoettle, General Manager, Analytics Platform Services, the subject of open source capabilities came up a few times. Data is going to change the culture of business, and in fact it becomes the culture when you truly embrace it.
How technology advancements contribute to the democratization of data

How technology advancements contribute to the democratization of data

July 19, 2016 | by Jim Young, Content Marketing Manager, IBM
Thanks to the democratization of data, rising numbers of businesses are making highly insightful decisions that are producing beneficial real-world results. Catch a few highlights from a podcast that takes a deep dive into how open source analytics processing engines and high volumes of data are...
Enterprise-grade property graphs debut on cloud

Enterprise-grade property graphs debut on cloud

July 7, 2016 | by Kamille Nixon, IBM Cloud Data Services, IBM
Until now, enterprise developers have faced challenges in achieving scale and maintaining high performance with graph databases. Enterprise development teams could not guarantee the availability of graph data stores as a reliable cloud service, particularly as an always-on distributed property...
Well-versed in big data and analytics? Consider being an IBM Press author

Well-versed in big data and analytics?

Consider being an IBM Press author

June 28, 2016 | by Natalie J. Troia, Marketing Program Manager, IBM
Are you a big data and analytics subject-matter expert? Do you enjoy writing? Would you like to be published? Check out IBM Press and the great opportunity to be a big data and analytics author. Share your expertise with readers from customer and partner organizations, colleagues and the greater...
CIO Insights: One CIO’s priorities—an agile culture and a big windshield

CIO Insights: One CIO’s priorities—an agile culture and a big windshield

A conversation with Jeff Smith, IBM

June 28, 2016 | by Paula Wiles Sigmon, Program Director, Analytics Platform Marketing, IBM
Insights from CIOs can reveal a lot about the industries in which they operate, and hearing from IBM’s CIO is no exception. Check out these highlights from a recent podcast featuring Jeff Smith, CIO at IBM, who offers a glimpse at his idea of focusing on culture, a story of transformation, the CIO’...
The 3 Cs of big data

The 3 Cs of big data

June 23, 2016 | by Chris Nott, Client Technical Leader for UK Public Sector, IBM UK Ltd.
Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with...
Keep your head above water with information lifecycle governance

Keep your head above water with information lifecycle governance

June 21, 2016 | by Nadine Noreldin, Esq., Content Marketing Manager, Information Lifecycle Governance (ILG), IBM
Ubiquitous data is so easily generated, and for that reason many enterprises today are exceedingly challenged to handle it all successfully. Take a look at a comprehensive information lifecycle governance solution that can help prevent enterprises from becoming submerged in their own sea of data.

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