Blogs

Customer segmentation analysis is key to competing in the shifting CPG industry

Customer segmentation analysis is key to competing in the shifting CPG industry

May 23, 2016 | by Jaikumar Vijayan, Communications and Distribution Writer
At a time when the consumer packaged goods market is undergoing tremendous changes, traditional approaches to market segmentation are not enough.
Can cloud-based services be law enforcement’s new partner?

Can cloud-based services be law enforcement’s new partner?

May 23, 2016 | by Peter Coldicott, CTO, Safer Planet Product Development, IBM
Despite the obvious and potential benefits for public agencies to move their IT services to cloud-based infrastructure, many are understandably reluctant to be an early adopter, which some believe potentially puts data at risk. Despite that reluctance, see why many public agencies, including law...
Courting your customer

Courting your customer

May 23, 2016 | by Misty Ahmadi, Content Marketing Manager, ECM, IBM
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content...
Connecting with consumers in the new era of energy consumption

Connecting with consumers in the new era of energy consumption

May 20, 2016 | by Preetam Kumar, Portfolio Marketing Manager, IBM Analytics, IBM
The connected nature of the digital era empowers energy and utility consumers to choose their providers and actively manage and monitor consumption. And energy and utility providers face new challenges to provide the services consumers demand and retain loyal customers. Learn more about a...
InsightOut: The case for open metadata and governance

InsightOut: The case for open metadata and governance

May 20, 2016 | by Mandy Chessell, Distinguished Engineer, IBM Analytics Group CTO Office, IBM
As the data used by an enterprise grows in size, variety and importance, it is no longer acceptable that the gathering and maintenance of metadata remains an under-funded and neglected afterthought for data-driven organizations. Metadata management needs to become a key focus of an organization's...
3 eco-friendly analytics solutions for freight companies

3 eco-friendly analytics solutions for freight companies

May 19, 2016 | by Jennifer Goforth Gregory, Technical Writer
Environmentally friendly processes are becoming an important consideration for consumers. Analytics-fueled strategies for minimizing the environmental impact of driving practices can help your company reduce its carbon footprint and gain a competitive advantage with green-minded consumers.
The future of content is customer-centric

The future of content is customer-centric

May 19, 2016 | by Toby Bell, Marketing and Offering Strategy Lead, IBM
A marked shift toward business participation in technology conversations couldn’t be more evident than it is to an industry analyst. Gain an analyst’s perspective on how customer-facing, content-rich processes for achieving customer loyalty are now the order of the day.
What is text analytics?

What is text analytics?

Making the complex simple

May 19, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
Whether organizations want to extract customer data beyond names and addresses from unstructured data sources; pull specific dates, times or monetary amounts; predict trends from sentiment data; or engage in many other uses, text analytics is the way to go. Learn the details of text analytics, and...
It takes a team: Collaboration and workflow in open data science

It takes a team: Collaboration and workflow in open data science

May 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
Data science takes collaborate teams of data scientists engaging in productive, open data development initiatives that can ensure strong workflow, governance, security and management. See why open environments are revolutionizing the data science landscape.
Spark and R: The deepening open analytics stack

Spark and R: The deepening open analytics stack

May 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
As Spark continues to mature into mainstream adoption in the data science community, the open data analytics stack and open source tools grow more robust, giving data scientists rich core workbenches to develop evermore innovative applications.

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