Does successfully navigating the role of chief data officer seem like being lost in a hedge maze? If you’re confused about what to do next, these three questions can help you identify a clear path forward.
Marketing professionals understand that reliable customer and campaign information is one of the most valuable assets for producing effective, targeted marketing and for creating lasting business value. Customers are generating more data than ever – especially as their attention is fragmented
Is your organization a real-time enterprise? In a recent benchmark study, nearly all organizations (89%) said it is important or very important to discover and analyze relationships between business events and corresponding IT events. Yet, only 67% of organizations can capture IT events, and fewer
In a recent LinkedIn discussion group posting, I sketched out a five-layer framework for low-latency analytics in the cloud. Those layers were:
What they all address, in the ultimate extreme, is the need
If you think “data scientist” is a pretentious title, think again. Nothing could be more fundamental to science, to engineering, and to the continuous optimization of modern business processes.
So, you may ask, what is true science? And what exactly is a scientist? How can data scientists live up
Big data is the core of your new enterprise application architecture. In the broader evolutionary picture, analytics and transactions will share a common big data infrastructure, encompassing storage, processing, memory, networking and other resources. More often than not, these workloads will run
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Appliances are workload-optimized systems, but they still require human administrators to oversee a wide range of workload management and other optimization, troubleshooting and
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Many appliances will be optimized to support various mixes of big-data workloads, while others will be entirely specialized to a particular function that they perform with lightning speed and elastic
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms. These “
Expertise is precious and hard-won. Perhaps you’ve cultivated it in-house through long-term investment in staff skills and training, in which case you risk having it walk all out the door at any time. Perhaps you’ve recruited experts externally, and paid a premium for their specialties. Perhaps you
"Next best action” is a hot focus area under big data, advanced analytics, digital marketing, smarter commerce and other business imperatives. Enterprises have been doing next best action, in various forms, for years. Many companies continue to scale up and build out their next-best-action
Every day, our world creates 2.5 quintillion bytes of data. How businesses discover the real value in large volumes of data is key to their success. In this video, four IBM customers demonstrate how Smarter Analytics has helped them deliver the right product, prevent fraud, make informed and timely
This paper, sponsored by IBM, looks at new developments in business analytics and discusses the benefits analyzing big data bring to the business. It also examines different types of big data workloads and offers suggestions on how to optimize systems to handle different workloads and integrate