Predictive analytics is a very useful way to "maximize the lifetime value of a customer," which, in many cases, involves optimizing marketing campaigns, increasing website interactions, converting clicks into conversions, and generally providing an intelligent next-best offer. This Roundtable Webcast will explore some of the ingenious ways predictive analytics is being used and driving positive outcomes.
Analytics can be a powerful tool, so now is a great time to learn more about web metrics.
Use this guide to understand the basics of what web analytics are and why they’re important, what metrics you should track, and how you can use this information to optimize your site and encourage customers to visit often and buy more.
Capturing and analyzing information are only part of the big data equation. Businesses must store ingested data in a format that is accessible and resilient, yet still economical. Join Gigaom Research and our sponsor Cleversafe for “Big Storage for Big Data: The Right Storage Tools for the Job,” a free analyst webinar.
Two sweeping trends have emerged in recent years: the proliferation of customer channels and the resulting explosion in the amount of data produced. This whitepaper focuses on how Knowledge Management adds an essential layer of value to customer-facing systems, which ultimately drives improved customer experiences.
Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders.
To get timely and trusted insights from Risk Analytics while minimizing IT risk and improving time-to-value, IBM is delivering an Application Ready Solution for Algorithmics. This integrated offering, anchored on a validated scalable high-performance clustered reference architecture, delivers the timely risk insights firms need to lower Tier 1 capital.
Research teams using next-generation sequencing (NGS) technologies face the daunting challenge of supporting compute-intensive analysis methods against petabytes of data while simultaneously keeping pace with rapidly evolving algorithmic best practices. Learn how you can benefit from the turnkey IBM Application Ready Solution for Accelrys with supporting benchmark data.
Digitalization—the process of exploiting digital information to maximize business success—has increased the value of your data to the point where it is arguably your most important asset. This paper explains why mastery will not be possible with merely adequate integration technology.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.