An IBM retail industry expert discusses the opportunities and challenges associated with improving the use and value of analytics at the IBM Insight 2015 conference—IBM’s largest annual data and analytics event.
Take your customer's experience from transactional to relational. With IBM Presence Insights and IBM Analytics, you can collect and analyze customer profiles and proximity in public spaces to see patterns, gain insights, and make helpful and enticing offers.
We asked experts from diverse organizations for their unique perspective on major trends in big data and analytics as we head into 2015. Hear their views on the key organizational imperatives, value realization and the key skills needed to support this.
Turn data and analytics into competitive
To provide customers with an innovative and convenient shopping experience, Bon- Ton Stores, Inc. needed to understand what customers were thinking and feeling. IBM PureData System for Analytics powers business decisions from merchandising to marketing promotion optimization with speed and
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
With millions of transactions a day from new identities that may or may not need to be linked, retailers have a task on their hand to sift through the data to capture a comprehensive 360 degree view of each customer. IBM Big Data solutions can lessen the data load. Watch David Speights, the chief
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.