One of the biggest challenges for retailers has always been scaling great customer service, specifically how to better personalize in-store experiences. By combining data analysis, the Internet of Things, cloud and mobile technologies, retailers can make this level of personalization a reality for
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.
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
By using predictive analytics, providers can use real-time data to see risk factors that previously went undetected. Armed with this information, healthcare systems can then intervene and hopefully change the course of the patient's future health.
Determining the total cost of care for a patient is not an easy task. By using big data in healthcare, however, providers can accurately determine the overall cost and use this insight to provide higher quality service at a lower price tag.
Social media has taken the retail industry on an extraordinary, tangential path for gaining a deeper understanding of the consumer. See what several big data experts have to say about the impact social media data and analysis of customer conversations have on the consumer experience.
By remotely monitoring patients, doctors can reduce costly visits while still providing top-quality care for their patients. Real-time analytics allows doctors to immediately spot problems and intervene, even before patients know something is wrong.
In the past, leaders of CPG companies were limited by a lack of direct access to their consumers. Thanks to new technologies, this dynamic has completely changed. Supply chain leaders now can access a direct lens into their market and better focus their initiatives for improving operational
The travel industry is undergoing a seismic evolution, based in large part on disruptive technologies fueled by data and analytics. Two key trends causing these paradigm changes are location services and intelligent mobility.
Travel providers are increasingly turning to data insights around demand, predictive intelligence and social analytics to empower and elevate their marketing promotions and offers. Businesses in the travel space can leverage past seasons' data to make next season's guests and travelers happier and
Marketers of the past relied on intuition to determine if creative campaigns were working, and focus groups to understand how customers engaged with their brand. The exponential growth of channels on which the customer can interact with brands has meant not only the downfall of the linear customer
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
If any one industry can claim digital transformation as a most immediate imperative, then the media and entertainment industry rises above the rest. Not only do organizations need to provide streaming content, but they also need to provide content on a diverse range of platforms. And to be
Bringing analytics to the C-suite doesn’t have to be a struggle. Learn how you can tailor your analytics conversations to help your executive colleagues throw open the door to new vistas of business opportunity.